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    <title>Silicon &amp; Systems (EN)</title>
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    <description>An independent tech review covering semiconductors, computer architecture, systems, and AI infrastructure. Slower than news, easier than papers.</description>
    <language>en</language>
    <item>
      <title>The Memory Controller Changes Sides: What NVHBM Really Buys</title>
      <link>https://siliconandsystems.com/en/articles/nvhbm-base-die/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/nvhbm-base-die/</guid>
      <pubDate>Thu, 03 Sep 2026 18:53:05 GMT</pubDate>
      <description>NVIDIA moved its custom memory controller from the XPU compute die into the HBM base die. The disclosed area, bandwidth and power gains are promising, but they are architectural targets with different denominators, not measurements from shipping silicon.</description>
    </item>
    <item>
      <title>Three Wafers Become One Service Unit: Reading Cerebras CS-4 Beyond Token Speed</title>
      <link>https://siliconandsystems.com/en/articles/cerebras-cs4-nexus/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cerebras-cs4-nexus/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:38 GMT</pubDate>
      <description>CS-4 combines three WSE-3T systems in the modular Nexus rack and advertises 160.5 PB/s of aggregate compute-fabric bandwidth. Its real proposition is serviceable wafer-scale inference, while the headline speed remains vendor-tested.</description>
    </item>
    <item>
      <title>Mobile Memory Takes the Server Socket: LPDDR6 Silicon, SOCAMM2 and DRAM That Computes</title>
      <link>https://siliconandsystems.com/en/articles/lpddr-servers/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/lpddr-servers/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>In six months, mobile-derived memory produced working LPDDR6 silicon, reached 1.5 TB and 1.2 TB/s beside NVIDIA's Vera CPU in serviceable modules, and moved computation into DRAM banks. The common constraint is power.</description>
    </item>
    <item>
      <title>Not a Smaller GPU: How Jalapeño Rebuilds Inference Around Locality</title>
      <link>https://siliconandsystems.com/en/articles/openai-jalapeno-inference/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/openai-jalapeno-inference/</guid>
      <pubDate>Tue, 01 Sep 2026 11:01:38 GMT</pubDate>
      <description>OpenAI's Jalapeño keeps changing inference phases on one locality-first ASIC instead of moving KV state among specialized devices. Its Hot Chips results are strongest at low latency, but the comparison still stops at package-TDP normalization and vendor-run systems.</description>
    </item>
    <item>
      <title>The 72-GPU Rack Is the Product: How MI455X Becomes AMD Helios</title>
      <link>https://siliconandsystems.com/en/articles/amd-mi400-helios/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/amd-mi400-helios/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:39 GMT</pubDate>
      <description>MI455X supplies 432 GB of HBM4 and 23.3 TB/s per GPU, but Helios is designed around repeatable four-GPU trays and a one-hop 72-GPU UALoE domain. The open interfaces do not remove rack integration risk.</description>
    </item>
    <item>
      <title>One Core, Two Instruction Worlds: Why IBM Is Bringing Arm Inside the Mainframe</title>
      <link>https://siliconandsystems.com/en/articles/ibm-z-arm-dual-architecture/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ibm-z-arm-dual-architecture/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:37 GMT</pubDate>
      <description>IBM is designing each 2 nm core to execute IBM Z and Arm instructions rather than assigning the two ISAs to separate core pools. The architectural gain is software placement inside one reliability and I/O domain, not a benchmark result.</description>
    </item>
    <item>
      <title>The Boundary Learned to Move: 52 Industry Memory and Storage Papers in 2026</title>
      <link>https://siliconandsystems.com/en/articles/industry-memory-storage-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-memory-storage-2026/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Through August 30, 52 company-affiliated records connect HBM4, LPDDR6, vertical DRAM, zoned UFS, AI I/O, tape, object storage, SSD reliability, and cloud data placement.</description>
    </item>
    <item>
      <title>Three Chips, Three Power Budgets: Intel’s Agentic AI Portfolio Test</title>
      <link>https://siliconandsystems.com/en/articles/intel-agentic-ai-silicon/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/intel-agentic-ai-silicon/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:42 GMT</pubDate>
      <description>Diamond Rapids, Crescent Island and Wildcat Lake place orchestration, inference and edge execution in different silicon and power envelopes. Intel’s common thread is 18A, UCIe and Foveros, not one universal agentic-AI processor.</description>
    </item>
    <item>
      <title>Vera Rebalances the CPU: 88 Cores Fed by 1.2 TB/s</title>
      <link>https://siliconandsystems.com/en/articles/vera-cpu-memory-balance/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/vera-cpu-memory-balance/</guid>
      <pubDate>Fri, 28 Aug 2026 15:00:00 GMT</pubDate>
      <description>NVIDIA's Vera CPU pairs 88 wide Olympus cores with 164 MB of shared cache and a peak 1.2 TB/s from serviceable LPDDR5X modules. The architecture is aimed at agentic workloads that alternate serial control, irregular memory access and accelerator handoffs. Its most revealing number is 12.7 GB/s per core, but the evidence remains vendor-authored.</description>
    </item>
    <item>
      <title>One DPU, Eight RNICs: Tencent's Pegasus Network for Bare-Metal AI Cloud</title>
      <link>https://siliconandsystems.com/en/articles/tencent-pegasus-fabric/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/tencent-pegasus-fabric/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Pegasus separates DPU control from the RDMA data path and offloads packet spraying plus credit control to RNICs. Tencent reports two years of production use across 8,000 GPUs.</description>
    </item>
    <item>
      <title>Beyond NVLink and Scale-Out Networks: A One-Chip-Like CXL Datacenter</title>
      <link>https://siliconandsystems.com/en/articles/cxl-onechip/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cxl-onechip/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>NVLink provides a fast local domain, while Ethernet or InfiniBand connects those domains through a scale-out network boundary. This review examines how CXL can extend shared addressing, transaction ordering, and device-level recovery across the datacenter.</description>
    </item>
    <item>
      <title>A Flow-Size Distribution Cannot Describe a Burst</title>
      <link>https://siliconandsystems.com/en/articles/burst-aware-congestion-evaluation/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/burst-aware-congestion-evaluation/</guid>
      <pubDate>Sun, 30 Aug 2026 01:49:33 GMT</pubDate>
      <description>A Meta and Carnegie Mellon study finds that common synthetic datacenter workloads reproduce burst occurrence but not production burst clustering. Four dimensions turn congestion-control testing into a coverage problem.</description>
    </item>
    <item>
      <title>NAND Moves Up a Tier: Reading the First High Bandwidth Flash Specification</title>
      <link>https://siliconandsystems.com/en/articles/hbf/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/hbf/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>Frontier models outgrew a GPU's HBM years ago, and the standard fix has been buying more GPUs. A specification released through the Open Compute Project on August 3 defines another path: NAND stacked like HBM, 512 GB per stack at up to 3 TB/s, with Google and Tenstorrent already at the table. We read the spec, and the fine print about writes.</description>
    </item>
    <item>
      <title>RTL Automation Starts After the First Draft</title>
      <link>https://siliconandsystems.com/en/articles/ai-rtl-closed-loop/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-rtl-closed-loop/</guid>
      <pubDate>Mon, 31 Aug 2026 05:40:54 GMT</pubDate>
      <description>StepPRM-RTL, Spec2RTL-Agent, ScaleRTL, and ASPEN show why useful RTL automation is a verified search loop rather than a single prompt that emits Verilog.</description>
    </item>
    <item>
      <title>Arrays, Timing, and Structured Compute: Industry Circuits in 2026</title>
      <link>https://siliconandsystems.com/en/articles/industry-circuits-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-circuits-2026/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Ten public industry papers through August 2026 connect measured gains to structure in phased arrays, PLLs, data conversion, MEMS drive, and edge learning.</description>
    </item>
    <item>
      <title>The Datacenter Became the Runtime: Nine Industry Papers That Redefined AI Infrastructure</title>
      <link>https://siliconandsystems.com/en/articles/ai-infrastructure-runtime-2025-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-infrastructure-runtime-2025-2026/</guid>
      <pubDate>Thu, 27 Aug 2026 15:00:00 GMT</pubDate>
      <description>Nine industry papers from 2025 and 2026 show the same architectural shift across power, cooling, fabrics, storage, serving, agent workflows, RL post-training, fleet scheduling and recovery: the datacenter itself is becoming a programmable runtime.</description>
    </item>
    <item>
      <title>Batch Analytics Is Idle Even When Its CPU Is Allocated</title>
      <link>https://siliconandsystems.com/en/articles/ant-serverless-batch/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ant-serverless-batch/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Ant Group's Quark applies serverless allocation and fast instances to reclaim slot, gap, start, and stop idle in colocated Spark workloads.</description>
    </item>
    <item>
      <title>Idle Is Not Available: The Accounting Problem Inside Alibaba's 155,410-GPU Fleet</title>
      <link>https://siliconandsystems.com/en/articles/asi-gpu-fleet/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/asi-gpu-fleet/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>A six-month trace from Alibaba's 155,410-GPU shared fleet shows why idle capacity can still reject a job. Exact model requests, CPU ratios and network locality reshape scheduling, while defragmentation and opportunistic work raise useful allocation from 68% to 93%.</description>
    </item>
    <item>
      <title>A Flat Profile Can Make a Faster Program Look Slower</title>
      <link>https://siliconandsystems.com/en/articles/blink-flat-workload-profiling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/blink-flat-workload-profiling/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Blink replaces biased PMU sampling with bounded function instrumentation when mobile workloads have no dominant hotspot.</description>
    </item>
    <item>
      <title>Serve Linearizable Reads from the Node the Client Needs</title>
      <link>https://siliconandsystems.com/en/articles/bodega-roster-leases/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/bodega-roster-leases/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Bodega generalizes leadership into leased responder rosters so selected replicas can answer local linearizable reads despite writes.</description>
    </item>
    <item>
      <title>An Exabyte Data Lake Can Feed LLM Training If It Learns the Schedule</title>
      <link>https://siliconandsystems.com/en/articles/bytedance-llm-data-pipeline/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/bytedance-llm-data-pipeline/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>ByteDance turns deterministic training progress into checkpoint replication, hot-file fanout, and storage-side multimodal transformation for its existing HDFS fleet.</description>
    </item>
    <item>
      <title>Unify Logs, Metrics, and Traces Without an In-Memory Fleet</title>
      <link>https://siliconandsystems.com/en/articles/diting-cloud-observability/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/diting-cloud-observability/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Alibaba's DiTing centralizes telemetry persistence and harvests spare compute for ingestion and queries.</description>
    </item>
    <item>
      <title>Long-Lived VMs Leave Placement Debt Behind</title>
      <link>https://siliconandsystems.com/en/articles/dvla-vm-lifetime-scheduling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/dvla-vm-lifetime-scheduling/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Alibaba Cloud's DVLA predicts lifetime at several horizons, prevents long-lived VM scatter, and repays accumulated placement debt through migration.</description>
    </item>
    <item>
      <title>RL Training Needs a Scheduler Inside the Job</title>
      <link>https://siliconandsystems.com/en/articles/dynarl-rl-scheduling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/dynarl-rl-scheduling/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>DynaRL moves GPUs among rollout, inference, tools, and training as their bottlenecks change within one reinforcement-learning iteration.</description>
    </item>
    <item>
      <title>An LLM Optimization Is a Production Change, Not a Suggestion</title>
      <link>https://siliconandsystems.com/en/articles/eco-code-efficiency/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/eco-code-efficiency/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Google's ECO combines fleet profiles, historical optimizations, LLM edits, tests, human review, and production monitoring into one efficiency pipeline.</description>
    </item>
    <item>
      <title>A Silent GPU Error Needs Three Different Questions</title>
      <link>https://siliconandsystems.com/en/articles/gpu-silent-errors/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/gpu-silent-errors/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Three ByteDance OSDI 2026 papers divide silent-error operations into online detection, workload-faithful hardware isolation, and operator-level debugging. Together they cover 35 million GPU-hours, 40 mitigated incidents, and more than 20 diagnosed production issues.</description>
    </item>
    <item>
      <title>Put Billion-Vector Search Back on Flash</title>
      <link>https://siliconandsystems.com/en/articles/helmsman-anns-clustering/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/helmsman-anns-clustering/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Helmsman combines userspace NVMe I/O, learned pruning, and GPU index construction to replace a large in-DRAM ANNS fleet.</description>
    </item>
    <item>
      <title>A Rack Power Budget Changes with Hardware Age</title>
      <link>https://siliconandsystems.com/en/articles/hyperscale-power-lifecycle/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/hyperscale-power-lifecycle/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Meta combines production telemetry for mature servers with counter-based PowerSight estimates before new hardware has power sensors at scale.</description>
    </item>
    <item>
      <title>Instruction-Level iOS Analysis Without Generating Executable Code</title>
      <link>https://siliconandsystems.com/en/articles/iland-ios-instrumentation/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/iland-ios-instrumentation/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>iLand interprets app instructions through precompiled micro-operations while native iOS libraries handle UI and media, enabling sandboxed dynamic instrumentation without JIT or jailbreak.</description>
    </item>
    <item>
      <title>Put the VM Observer Beside the VMM</title>
      <link>https://siliconandsystems.com/en/articles/inside-out-vm-introspection/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/inside-out-vm-introspection/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>GOODKIT maps selected target memory into lightweight observer VMs, avoiding pause-heavy introspection while keeping observers isolated.</description>
    </item>
    <item>
      <title>Split CPU and Memory Virtualization Across Worlds</title>
      <link>https://siliconandsystems.com/en/articles/janus-nested-virtualization/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/janus-nested-virtualization/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>JANUS keeps CPU world switches in the guest hypervisor while the host owns memory translation for secure containers inside cloud VMs.</description>
    </item>
    <item>
      <title>Verify the Allocator That Runs on Twelve Million Phones</title>
      <link>https://siliconandsystems.com/en/articles/jwmalloc-verified-allocator/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/jwmalloc-verified-allocator/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Huawei's jwmalloc combines cross-size slab reuse, fragment indexing, lifetime-guided reclamation, and weak-memory verification for mobile devices.</description>
    </item>
    <item>
      <title>Separate Log Durability from Log Order</title>
      <link>https://siliconandsystems.com/en/articles/logdrive-shared-logs/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/logdrive-shared-logs/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Confluent's LogDrive composes cloud stores for durability while AtomicLog adds ordering, cutting metadata cost for an S3 pub-sub service.</description>
    </item>
    <item>
      <title>Datacenter Memory Reclamation Reverses the Cache Problem</title>
      <link>https://siliconandsystems.com/en/articles/mdk-memory-reclamation/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mdk-memory-reclamation/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>MDK replaces miss-ratio curves with performance-constrained memory-saving curves, giving proactive datacenter reclaimers an offline optimum and faster policy evaluation.</description>
    </item>
    <item>
      <title>Follow the User Interaction Across Android Processes</title>
      <link>https://siliconandsystems.com/en/articles/mobile-cpu-scheduling-trinity/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mobile-cpu-scheduling-trinity/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Honor's MUSCHED propagates interaction urgency through IPC, adds a VIP class, and loads eBPF scheduling policy without rebuilding the kernel.</description>
    </item>
    <item>
      <title>The Agent Graph Becomes the Cloud Scheduler: Murakkab Optimizes the Whole Workflow</title>
      <link>https://siliconandsystems.com/en/articles/murakkab-agent-orchestration/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/murakkab-agent-orchestration/</guid>
      <pubDate>Fri, 28 Aug 2026 15:00:00 GMT</pubDate>
      <description>Murakkab exposes agent tasks and dependencies to one SLO-aware control plane. Across the evaluated Azure-derived workloads, joint workflow and resource optimization cuts GPUs, energy, and cost without treating every model call as an independent service.</description>
    </item>
    <item>
      <title>Memory Tiering Cannot Reclaim a Cold Object Trapped on a Hot Page</title>
      <link>https://siliconandsystems.com/en/articles/obase-memory-tiering/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/obase-memory-tiering/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>OBASE reorganizes movable objects by access temperature so existing page-level reclaimers see uniformly hot and cold pages instead of fragmented mixtures.</description>
    </item>
    <item>
      <title>One Fault-Domain Buffer Can Carry Fleet Maintenance</title>
      <link>https://siliconandsystems.com/en/articles/pims-datacenter-maintenance/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/pims-datacenter-maintenance/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Meta's PIMS aligns maintenance, placement, contracts, and priorities around fault domains to shrink reserve capacity while keeping rollout deadlines.</description>
    </item>
    <item>
      <title>Clear Accelerator Demand Every Minute, Not Every Quarter</title>
      <link>https://siliconandsystems.com/en/articles/quota-marketplace-ml-training/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/quota-marketplace-ml-training/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Google's Quota Marketplace prices heterogeneous accelerator demand across business pools.</description>
    </item>
    <item>
      <title>Memory Capacity Is Not Memory Bandwidth: RamRyder Gives Cloud VMs Their Own Channels</title>
      <link>https://siliconandsystems.com/en/articles/ramryder-elastic-memory/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ramryder-elastic-memory/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>RamRyder exposes DRAM channels to a modified virtualization stack, separating baseline isolation from elastic CXL resources. Its benefit depends on page placement, not simply attaching more memory.</description>
    </item>
    <item>
      <title>Replay the GPU Step That Corrupted the Model</title>
      <link>https://siliconandsystems.com/en/articles/sdchunter-gpu-replay/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sdchunter-gpu-replay/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>SDCHUNTER uses deterministic kernels and tensor signatures to distinguish silent GPU corruption from ordinary LLM training noise.</description>
    </item>
    <item>
      <title>Learn the Rollout Tail Before It Forms</title>
      <link>https://siliconandsystems.com/en/articles/seer-synchronous-rl/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/seer-synchronous-rl/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>SEER uses prompt-group context, divided rollout, a global KV pool, and adaptive speculative decoding to shorten synchronous RL tails.</description>
    </item>
    <item>
      <title>Make the S3 Model Precise Enough to Be the Specification</title>
      <link>https://siliconandsystems.com/en/articles/stateful-service-fidelity-models/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/stateful-service-fidelity-models/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>AWS combines executable models, predicate abstraction, and systematic tests to preserve S3 API behavior.</description>
    </item>
    <item>
      <title>A Cache Hit That Arrives Late Is Still a Miss: Strata Schedules Long-Context Memory</title>
      <link>https://siliconandsystems.com/en/articles/strata-kv-cache/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/strata-kv-cache/</guid>
      <pubDate>Fri, 28 Aug 2026 15:00:00 GMT</pubDate>
      <description>Strata treats CPU-to-GPU bandwidth and KV-cache readiness as schedulable resources. GPU-assisted transfers and cache-aware batching raise long-context serving throughput by up to 5× in the evaluated cases.</description>
    </item>
    <item>
      <title>Trace the Request That Missed Its SLO, Not Every Request Around It</title>
      <link>https://siliconandsystems.com/en/articles/striatrace/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/striatrace/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Alibaba's StriaTrace instruments synchronization points and critical paths continuously, then collects detail only around an anomaly. It keeps tracing overhead below 1% across 1,700 production instances serving more than 180 million requests per day.</description>
    </item>
    <item>
      <title>The Pipeline Is No Longer Made of Identical Bricks</title>
      <link>https://siliconandsystems.com/en/articles/tessera-qwen/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/tessera-qwen/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Alibaba's Tessera treats heterogeneous Qwen layers, communication overlap, and runtime routing bubbles as one pipeline-planning problem. Across five production workloads on 4,096 to 12,288 GPUs, it raises throughput by 20% to 33%.</description>
    </item>
    <item>
      <title>Move the Training Job Before It Learns That a Machine Left</title>
      <link>https://siliconandsystems.com/en/articles/trainmover/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/trainmover/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Alibaba's TrainMover replaces one machine without rebuilding every communication group or warming it inside the live job. Expected interruptions stay below 20 seconds and unexpected failures below 30 seconds at 1,024 GPUs.</description>
    </item>
    <item>
      <title>Fill the Idle Half of On-Policy RL: Weave Co-Schedules Rollout and Training</title>
      <link>https://siliconandsystems.com/en/articles/weave-rl-coscheduling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/weave-rl-coscheduling/</guid>
      <pubDate>Fri, 28 Aug 2026 15:00:00 GMT</pubDate>
      <description>Weave preserves synchronous on-policy learning while filling one job's dependency bubbles with another job's active phase. A two-week replay cuts provisioning cost by 1.84× against isolated disaggregation.</description>
    </item>
    <item>
      <title>Turn Kernel Constants into Millisecond Control Points</title>
      <link>https://siliconandsystems.com/en/articles/xkernel-kernel-tunability/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/xkernel-kernel-tunability/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Xkernel rewrites the state around compile-time Linux performance constants so production policy can change them without a reboot.</description>
    </item>
    <item>
      <title>AmpereOne Hides Memory Tags in the Bits a Server Already Pays For</title>
      <link>https://siliconandsystems.com/en/articles/ampereone-memory-tagging/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ampereone-memory-tagging/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>AmpereOne is the first datacenter CPU with Arm Memory Tagging Extension support. It co-locates allocation tags with protected data, avoiding reserved-DRAM capacity loss and keeping synchronous checks to a single-digit slowdown.</description>
    </item>
    <item>
      <title>Li Auto Lets the Compiler Drive Data Instead of Rebuilding a GPU Cache</title>
      <link>https://siliconandsystems.com/en/articles/m100-dataflow/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/m100-dataflow/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Li Auto's M100 uses compiler-orchestrated tensor dataflow for autonomous driving and LLM inference. At equal power and DDR bandwidth, it reports 3.8× the UniAD frame rate of NVIDIA Thor-U.</description>
    </item>
    <item>
      <title>The PCIe Tax on CXL, and the 4 nm Silicon Built to Repeal It</title>
      <link>https://siliconandsystems.com/en/articles/pbr-cxl/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/pbr-cxl/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>Commercial CXL memory expanders answer in 265 to 442 ns, and a switch hop raises that latency by roughly 2×. A Panmnesia paper at ISCA 2026 traces the overhead to PCIe-derived controller silicon and answers with a 4 nm chip: a unified controller below 50 ns round trip, and a port-based routing switch evaluated to 64 nodes.</description>
    </item>
    <item>
      <title>The Weather File Expires Before the Datacenter: Google Reprices Cooling for 2044</title>
      <link>https://siliconandsystems.com/en/articles/prometheus-cooling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/prometheus-cooling/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Google's Prometheus study combines historical observations with climate projections across 30 datacenters. The result is an 11% average cooling-capacity increase, a 48% worst case and a new operating plan for heat that exceeds the design file.</description>
    </item>
    <item>
      <title>Dropping the PHY: d-Matrix Bonds Compute Directly onto DRAM</title>
      <link>https://siliconandsystems.com/en/articles/raptor-3dimc/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/raptor-3dimc/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>HBM keeps memory millimeters from compute and pays a PHY toll on every bit. At Hot Chips 2026, d-Matrix showed early silicon that shrinks the distance to microns: a 4 nm compute die bonded face to face onto custom DRAM, delivering 100 TB/s from a 32 GB card at 0.37 pJ/bit. The catch sits in the capacity column.</description>
    </item>
    <item>
      <title>Microsoft's Rowhammer Defense Sleeps Until One Sub-Bank Looks Dangerous</title>
      <link>https://siliconandsystems.com/en/articles/sigries-rowhammer/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sigries-rowhammer/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Sigries combines small Misra-Gries counter tables with row sampling and is implemented in Azure Cobalt 200. Benign traces stay in a zero-DRAM-bandwidth light mode; only stressed sub-banks enter the heavier defense.</description>
    </item>
    <item>
      <title>CXL Leaves the Lab: How Meta Turned Retired DDR4 into a Production Memory Tier</title>
      <link>https://siliconandsystems.com/en/articles/vistara-cxl/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/vistara-cxl/</guid>
      <pubDate>Mon, 24 Aug 2026 15:00:00 GMT</pubDate>
      <description>Roughly 40% of the servers in Meta's fleet are memory-capacity bound. A paper presented at ISCA 2026 reports the first end-to-end CXL deployment at hyperscale: a custom ASIC that turns DDR4 from decommissioned servers into an expansion tier, and the production numbers behind it.</description>
    </item>
    <item>
      <title>Three Nanosheets over Three: Samsung Builds Logic Upward at 42 nm</title>
      <link>https://siliconandsystems.com/en/articles/samsung-3d-stacked-fet/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/samsung-3d-stacked-fet/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Samsung's VLSI 2026 paper puts triple-nanosheet nFETs above triple-nanosheet pFETs at a 42 nm gate pitch. The result is a process-integration milestone, not yet a dense logic product.</description>
    </item>
    <item>
      <title>Production Evidence Replaced the Architecture Promise: 43 Company-Affiliated Papers at ISCA 2026</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-isca-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-isca-2026/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:06 GMT</pubDate>
      <description>43 verified company-affiliated ISCA papers, including Panmnesia's CXL controller and routing switch, connect architecture mechanisms to production software, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>Power Is the Cluster: What 83,000 GB200s Teach About 150 MW</title>
      <link>https://siliconandsystems.com/en/articles/power-cluster-150mw/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/power-cluster-150mw/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Meta's 150 MW GB200 deployment shows why AI capacity is decided at the breaker, not the GPU nameplate. A lower device limit, calibrated telemetry and coordinated runtime controls raise cluster throughput by about 14%.</description>
    </item>
    <item>
      <title>Reasoning Models Hit the Memory-Capacity Wall Before the Compute Ceiling</title>
      <link>https://siliconandsystems.com/en/articles/reasoning-inference-capacity/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/reasoning-inference-capacity/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Micron and Argonne characterize reasoning inference from 8B to 671B parameters. Long outputs fill KV cache, leave memory stranded under data parallelism, and make tensor parallelism useful near the 32B crossover.</description>
    </item>
    <item>
      <title>Millions of Valid Configurations, One Deployment That Meets the SLO</title>
      <link>https://siliconandsystems.com/en/articles/meta-llm-deployment-search/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/meta-llm-deployment-search/</guid>
      <pubDate>Sat, 05 Sep 2026 15:00:00 GMT</pubDate>
      <description>Meta's MLSys 2026 industry paper treats LLM deployment as a constrained search over hardware, parallelism, runtime, workload, and latency. A benchmark-driven simulator turns millions of combinations into phase-specific decisions for online, offline, dense, and MoE inference.</description>
    </item>
    <item>
      <title>Fast Tokens, Slow Agents: Agentix Schedules the Program Behind Each LLM Call</title>
      <link>https://siliconandsystems.com/en/articles/agentix-program-serving/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/agentix-program-serving/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>Agentix carries program history into LLM scheduling so repeated calls do not continually regain priority. Its gains concern completed agent programs, not a faster matrix kernel.</description>
    </item>
    <item>
      <title>Keeping Old NICs on the RDMA Path: What ByteDance's BURST Really Accelerates</title>
      <link>https://siliconandsystems.com/en/articles/burst-soft-rdma/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/burst-soft-rdma/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>BURST implements a RoCE-compatible transport in a userspace service so ordinary Ethernet endpoints can communicate with RNICs. Near-400G throughput needs parallel queues, and faster KV transfer is not the same as faster end-to-end inference.</description>
    </item>
    <item>
      <title>Balanced Load, Unbalanced Latency: Alibaba Protects Quiet Storage Work from Bursts</title>
      <link>https://siliconandsystems.com/en/articles/cloud-block-tail-latency/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cloud-block-tail-latency/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>Alibaba's block store still suffered long tails after spreading traffic evenly. Segment-level burst admission and I/O-aware event scheduling address two different reasons that a quiet request can wait.</description>
    </item>
    <item>
      <title>The Same Context, Different Weights: DroidSpeak Reuses KV State Between Fine-Tuned Models</title>
      <link>https://siliconandsystems.com/en/articles/droidspeak-cross-model-kv/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/droidspeak-cross-model-kv/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>DroidSpeak replaces part of a model's prefill with state computed by a related model. Selective layer recomputation preserves measured task quality, but this is approximate reuse, not ordinary lossless prefix caching.</description>
    </item>
    <item>
      <title>The GPU Is Busy, but Training Is Slow: EROICA Finds the Faulty Step Online</title>
      <link>https://siliconandsystems.com/en/articles/eroica-gpu-troubleshooting/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/eroica-gpu-troubleshooting/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:45 GMT</pubDate>
      <description>EROICA compresses fine-grained execution profiles into comparable behavior signatures, then uses differences across workers to locate hardware and software slowdowns without tracing an entire GPU fleet.</description>
    </item>
    <item>
      <title>Before the GPU Reads a Byte: FalconFS Moves the Directory Walk Off Training Clients</title>
      <link>https://siliconandsystems.com/en/articles/falconfs-training-files/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/falconfs-training-files/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>Huawei and SJTU's FalconFS targets the metadata work behind random small-file access. Replicating directory information on servers lets training clients avoid maintaining a large directory cache.</description>
    </item>
    <item>
      <title>Inference Owns the Deadline, Fine-Tuning Uses the Gaps: FlexLLM Schedules Tokens Together</title>
      <link>https://siliconandsystems.com/en/articles/flexllm-token-coserving/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/flexllm-token-coserving/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:49 GMT</pubDate>
      <description>FlexLLM compiles parameter-efficient fine-tuning to share a base model, then interleaves inference and training tokens inside each iteration while protecting inference latency SLOs.</description>
    </item>
    <item>
      <title>A 100K-GPU Network Starts as a Compiler Problem</title>
      <link>https://siliconandsystems.com/en/articles/matryoshka-network-compiler/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/matryoshka-network-compiler/</guid>
      <pubDate>Sun, 30 Aug 2026 01:49:33 GMT</pubDate>
      <description>Meta's Matryoshka compiles network intent into validated switch state across nearly 900 datacenter networks. The 100K-GPU case shows why topology reuse, deterministic generation, and staged validation now belong in the fabric architecture.</description>
    </item>
    <item>
      <title>Compile the Fabric before Deploying It: Meta's Matryoshka Network Design System</title>
      <link>https://siliconandsystems.com/en/articles/meta-matryoshka/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/meta-matryoshka/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Matryoshka compiles topology, addressing and routing intent into validated switch configurations. Meta reports six years of use across nearly 900 datacenter networks and 18 network types.</description>
    </item>
    <item>
      <title>No Giant Switch: How Octopus Builds a 96-Server CXL Memory Pod</title>
      <link>https://siliconandsystems.com/en/articles/octopus-cxl-pod/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/octopus-cxl-pod/</guid>
      <pubDate>Sun, 30 Aug 2026 23:48:25 GMT</pubDate>
      <description>Microsoft Azure and university researchers replace the fully connected CXL pod with sparse, four-port memory devices. A three-server prototype and a 96-server model show why topology, cable length and workload placement decide whether pooling saves money.</description>
    </item>
    <item>
      <title>Azure Puts Stateful Networking Inside the Switch: The Deployment Logic of SONiC DASH</title>
      <link>https://siliconandsystems.com/en/articles/sonic-dash-smartswitch/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sonic-dash-smartswitch/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>SONiC DASH integrates a pool of DPUs into Azure's T1 switches. Its contribution is as much about bounded service semantics and deployable capacity as it is about packet throughput.</description>
    </item>
    <item>
      <title>SPEC CPU 2026 Stops Pretending Every Core Runs the Same Program</title>
      <link>https://siliconandsystems.com/en/articles/spec-cpu-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/spec-cpu-2026/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>SPEC CPU 2026 expands to 52 components and introduces Rolling Round-Robin Rate, where cores rotate through different programs. The method gives heterogeneous multiprogrammed CPU research a common workload construction.</description>
    </item>
    <item>
      <title>One Batch, Different Deadlines: AdaServe Builds a Speculation Tree for Each SLO</title>
      <link>https://siliconandsystems.com/en/articles/adaserve-multi-slo-speculation/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/adaserve-multi-slo-speculation/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:52 GMT</pubDate>
      <description>AdaServe converts each request's latency objective into a hardware-aware speculative-decoding tree, then separates speculation, selection, and verification to serve mixed SLOs efficiently.</description>
    </item>
    <item>
      <title>The Bits That Never Change: IBP Compresses the PCIe Path Without Changing the Model</title>
      <link>https://siliconandsystems.com/en/articles/ibp-lossless-gpu-compression/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ibp-lossless-gpu-compression/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:53 GMT</pubDate>
      <description>Invariant Bit Packing removes bit positions shared by groups of tensors, then reconstructs them on the GPU to reduce host-to-device traffic without quantization error.</description>
    </item>
    <item>
      <title>The Fast Link Is Not the Only Link: MPCCS Stripes GPU Collectives Across Two Fabrics</title>
      <link>https://siliconandsystems.com/en/articles/mpccs-dual-network-collectives/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mpccs-dual-network-collectives/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:46 GMT</pubDate>
      <description>MPCCS sends one collective over both the accelerator scale-up fabric and the cloud scale-out network, adapting the split with measured bandwidth-delay product and coflow synchronization.</description>
    </item>
    <item>
      <title>One TPU Generation, Two Networks: Why Google Split Training from Reasoning</title>
      <link>https://siliconandsystems.com/en/articles/google-tpu8/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/google-tpu8/</guid>
      <pubDate>Tue, 01 Sep 2026 21:59:47 GMT</pubDate>
      <description>Google's TPU 8t widens the training fabric while TPU 8i shortens serving collectives. The split moves specialization from the matrix unit into memory, topology, hosts and software.</description>
    </item>
    <item>
      <title>Arm Stops at the Rack: What Its First Production CPU Changes</title>
      <link>https://siliconandsystems.com/en/articles/arm-agi-cpu/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/arm-agi-cpu/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:41 GMT</pubDate>
      <description>Arm AGI CPU pairs up to 136 Neoverse V3 cores with 12 DDR5 channels and a 300 W envelope, then supplies a dual-node 1OU reference server. The strategic change is ownership of the deployable platform boundary.</description>
    </item>
    <item>
      <title>A Real CXL Memory Box Under SAP HANA: What Can Move, and What Must Stay Local</title>
      <link>https://siliconandsystems.com/en/articles/hana-cxl-memory-pool/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/hana-cxl-memory-pool/</guid>
      <pubDate>Sun, 30 Aug 2026 23:48:25 GMT</pubDate>
      <description>SAP and Samsung test dynamic CXL pooled memory with an XConn switch, Samsung CMM-D cards and enterprise HANA workloads. The result is a placement rule, not a universal speed claim: sequential and temporary data can move, while random operational heaps should remain local.</description>
    </item>
    <item>
      <title>The Same H100 Is Not the Same Rental: Measuring the GPU Cloud Lottery</title>
      <link>https://siliconandsystems.com/en/articles/gpu-cloud-lottery/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/gpu-cloud-lottery/</guid>
      <pubDate>Sun, 30 Aug 2026 11:16:52 GMT</pubDate>
      <description>A GPGPU 2026 industry study measured 3,534 physical GPUs across 11 clouds and found that identical model names can conceal double-digit performance ranges. The purchasing question is therefore a distribution, not a peak specification.</description>
    </item>
    <item>
      <title>AI Systems Turned Every Layer into a Scheduling Problem: 44 Company-Affiliated Papers at ASPLOS 2026</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-asplos-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-asplos-2026/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:02 GMT</pubDate>
      <description>44 verified company-affiliated ASPLOS papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>Five Regions Changed the Economics of Apple's Object Store</title>
      <link>https://siliconandsystems.com/en/articles/acos-object-store/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/acos-object-store/</guid>
      <pubDate>Sun, 30 Aug 2026 01:10:21 GMT</pubDate>
      <description>ACOS moved from two complete regional copies to a five-region XOR code while preserving local repair. The production migration shows where capacity savings become latency and failure-management work.</description>
    </item>
    <item>
      <title>When Storage Understands the Job: AITURBO Turns AI I/O into a Group Operation</title>
      <link>https://siliconandsystems.com/en/articles/aiturbo-grouped-io/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/aiturbo-grouped-io/</guid>
      <pubDate>Fri, 28 Aug 2026 15:00:00 GMT</pubDate>
      <description>AITURBO lets cloud storage see which accelerators are reading or writing together. That one semantic change enables transparent deduplication, host-DRAM staging and compute-fabric broadcast without rebuilding every AI framework.</description>
    </item>
    <item>
      <title>Cloud Garbage Collection Can Punch Holes Before It Moves Bytes</title>
      <link>https://siliconandsystems.com/en/articles/bytedance-discard-gc/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/bytedance-discard-gc/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>ByteDance's DisCoGC coordinates discard and compaction across a layered log store, reclaiming large invalid ranges without copying every surviving byte.</description>
    </item>
    <item>
      <title>KV Reuse Breaks When the Text Moves, Even If the Text Does Not</title>
      <link>https://siliconandsystems.com/en/articles/cacheslide-kv-cache/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cacheslide-kv-cache/</guid>
      <pubDate>Sun, 30 Aug 2026 02:19:01 GMT</pubDate>
      <description>Agent prompts keep stable segments but move their absolute token positions. CacheSlide aligns those segments, repairs selected cross-attention, and manages the resulting KV-cache spill path.</description>
    </item>
    <item>
      <title>The SSD Stayed Local, but Its Control Path Moved Three Times</title>
      <link>https://siliconandsystems.com/en/articles/cloud-local-storage/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cloud-local-storage/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Alibaba's production history shows why cloud-local NVMe moved from a kernel stack to polling, then to DPU offload and an ASIC-SoC design before adding remote durability as a hybrid tier.</description>
    </item>
    <item>
      <title>Container Startup Is a Metadata Path Before It Is a Download</title>
      <link>https://siliconandsystems.com/en/articles/cofs-container-startup/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cofs-container-startup/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>CoFS moves fixed container-image metadata into minimal perfect hashes and cached payloads into the host kernel, reducing lookup work without keeping every read on a userspace FUSE path.</description>
    </item>
    <item>
      <title>An SSD Failure Alert Must Explain the Combination That Fired</title>
      <link>https://siliconandsystems.com/en/articles/failureminer-ssd-failures/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/failureminer-ssd-failures/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>FailureMiner preserves healthy samples near the failure boundary and compresses a random forest into a few joint telemetry decisions that operators can act on.</description>
    </item>
    <item>
      <title>Data Integrity Must Cross the Filesystem Boundary</title>
      <link>https://siliconandsystems.com/en/articles/linux-data-integrity/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/linux-data-integrity/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Linux FS-PI lets applications and filesystems carry protection metadata to capable drives, adding checksums to XFS and removing BTRFS's separate checksum-tree traffic.</description>
    </item>
    <item>
      <title>Database Compression Needs a Fast Path for the Bytes That Commit</title>
      <link>https://siliconandsystems.com/en/articles/polarstore-cloud-database-compression/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/polarstore-cloud-database-compression/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>PolarStore combines computational-storage compression with adaptive software codecs, then bypasses or reshapes the database I/O paths where compression would delay commits and reads.</description>
    </item>
    <item>
      <title>The Fastest Model Loader Changed the Page Cache, Not the Framework</title>
      <link>https://siliconandsystems.com/en/articles/programmable-page-cache-model-loading/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/programmable-page-cache-model-loading/</guid>
      <pubDate>Sun, 30 Aug 2026 01:48:21 GMT</pubDate>
      <description>PPC makes the kernel page-cache policy programmable without changing the inference framework. MAIO then uses repeatable model-loading traces to prefetch, place, and evict pages around each accelerator.</description>
    </item>
    <item>
      <title>File Synchronization Can Reuse Work the Storage Layer Already Did</title>
      <link>https://siliconandsystems.com/en/articles/skysync-file-synchronization/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/skysync-file-synchronization/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>SkySync derives rsync- and dsync-compatible deltas from storage checksums, cutting repeated computation without reducing the bytes required to represent a file change.</description>
    </item>
    <item>
      <title>Compression Improves When the Filesystem Sorts Before It Packs</title>
      <link>https://siliconandsystems.com/en/articles/sorted-compressed-filesystem/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sorted-compressed-filesystem/</guid>
      <pubDate>Sun, 30 Aug 2026 01:10:21 GMT</pubDate>
      <description>RubikFS rearranges similar and frequently read chunks before block compression. Across six images, that placement decision improves density while reducing the extra reads caused by large compressed blocks.</description>
    </item>
    <item>
      <title>A Thousand Cartridges, Four Drives: Why Tape Cloud Storage Must Wait on Purpose</title>
      <link>https://siliconandsystems.com/en/articles/tape-archive-cloud/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/tape-archive-cloud/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Huawei Cloud's TapeOBS turns an hours-level restore promise into scheduling freedom, batching writes, erasure coding, and restores around the physical limits of tape libraries.</description>
    </item>
    <item>
      <title>Zoned Mobile Flash Works Only When Android Preserves Its Contract</title>
      <link>https://siliconandsystems.com/en/articles/zoned-ufs-mobile-storage/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/zoned-ufs-mobile-storage/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>A commercial Zoned UFS stack coordinates F2FS, Linux ordering, controller SRAM, and background reclamation to keep mobile flash predictable as devices age.</description>
    </item>
    <item>
      <title>What Commercial AI EDA Has Actually Put Through Tapeout</title>
      <link>https://siliconandsystems.com/en/articles/ai-eda-commercial-tapeouts/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-eda-commercial-tapeouts/</guid>
      <pubDate>Mon, 31 Aug 2026 05:44:42 GMT</pubDate>
      <description>Synopsys and Cadence report hundreds to more than one thousand AI-assisted tapeouts, with named cases at Samsung, STMicroelectronics, SK hynix, MediaTek and Renesas. The evidence supports scaled design-space search, not autonomous chip creation.</description>
    </item>
    <item>
      <title>The 400 µm Modulator That Pushes CPO to 212 Gb/s per Wavelength</title>
      <link>https://siliconandsystems.com/en/articles/coherent-cpo-direct-drive/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/coherent-cpo-direct-drive/</guid>
      <pubDate>Sun, 30 Aug 2026 23:53:10 GMT</pubDate>
      <description>A 45 nm CMOS-SOI transmitter reaches 212 Gb/s 16-QAM with a 400 µm direct-driven modulator. The result changes the energy and area boundary for coherent co-packaged optics, but not yet the yield or thermal proof.</description>
    </item>
    <item>
      <title>The Next EDA Advantage Is a Recipe That Transfers</title>
      <link>https://siliconandsystems.com/en/articles/ai-eda-recipe-transfer/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-eda-recipe-transfer/</guid>
      <pubDate>Mon, 31 Aug 2026 05:40:50 GMT</pubDate>
      <description>InsightAlign and FastTuner turn previous physical-design runs into ranked recipes and transferable policies, reducing the cold start on each new block.</description>
    </item>
    <item>
      <title>Scale Exposed the Hidden Architecture Bill: 28 Company-Affiliated Papers at HPCA 2026</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-hpca-2026/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-hpca-2026/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:04 GMT</pubDate>
      <description>28 verified company-affiliated HPCA papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>Who Wires the Rack: Reading UALink Against NVLink and Ethernet</title>
      <link>https://siliconandsystems.com/en/articles/ualink-landscape/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ualink-landscape/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>The scale-up rack has four would-be landlords. This review reads UALink against NVLink, Ethernet and Huawei's Unified Bus, then updates the map for UALink Common 2.0 and the released ESUN 1.0 specification.</description>
    </item>
    <item>
      <title>Ethernet Inside the Scale-Up Domain: The System Bet Behind Maia 200</title>
      <link>https://siliconandsystems.com/en/articles/maia-200-ethernet-scaleup/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/maia-200-ethernet-scaleup/</guid>
      <pubDate>Sat, 05 Sep 2026 09:09:40 GMT</pubDate>
      <description>Maia 200 combines 216 GB HBM3e, 272 MB SRAM and 2.8 TB/s of dedicated scale-up bandwidth with a two-tier Ethernet design. Microsoft controls the chip, transport and fleet, so the architecture is as much an operating model as a device.</description>
    </item>
    <item>
      <title>Place and Route Is Becoming an Objective Negotiation</title>
      <link>https://siliconandsystems.com/en/articles/ai-pnr-objectives/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-pnr-objectives/</guid>
      <pubDate>Mon, 31 Aug 2026 05:40:51 GMT</pubDate>
      <description>C3PO, DCO-3D, and reinforcement-learning routing show how AI connects timing, congestion, wirelength, and local repair without replacing the implementation flow.</description>
    </item>
    <item>
      <title>Meta Gives Kernel Optimization a Search Tree and a Memory</title>
      <link>https://siliconandsystems.com/en/articles/kernelevolve/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/kernelevolve/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>KernelEvolve searches, compiles, runs, and remembers accelerator kernels across NVIDIA, AMD, and MTIA. Meta reports 480/480 correct operator-platform pairs and production speedups from 1.25× to 17×.</description>
    </item>
    <item>
      <title>What a Neocloud Number Proves, and What It Leaves Unmeasured</title>
      <link>https://siliconandsystems.com/en/articles/neocloud-evidence/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/neocloud-evidence/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>CoreWeave publishes link-readiness and storage benchmarks, Nebius reports customer-cluster MTBF and recovery time, and Lambda describes a portable operating stack. The difference is not a vendor ranking but an evidence map for AI-cloud buyers.</description>
    </item>
    <item>
      <title>CFET Leaves the Device Lab: TSMC Runs an Oscillator and SRAM below 48 nm</title>
      <link>https://siliconandsystems.com/en/articles/tsmc-cfet-circuits/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/tsmc-cfet-circuits/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>TSMC's IEDM 2025 paper moves monolithic CFET from isolated transistors into a 101-stage ring oscillator and operational 6T SRAM cells below a 48 nm gate pitch.</description>
    </item>
    <item>
      <title>KVCache Without the Network: Alibaba Runs LLM Serving on a Real CXL 2.0 Switch</title>
      <link>https://siliconandsystems.com/en/articles/beluga-cxl/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/beluga-cxl/</guid>
      <pubDate>Mon, 24 Aug 2026 15:00:00 GMT</pubDate>
      <description>A 50M-token KVCache needs about 20 TB of DRAM, and RDMA memory pools pay for that capacity in synchronization and programming complexity. Alibaba Cloud's Beluga puts the first commercial CXL 2.0 switch under vLLM, letting GPUs load and store into a shared 8 TB pool and cutting time-to-first-token by 89.6%.</description>
    </item>
    <item>
      <title>AI Can Search a Microarchitecture, but It Still Needs an Executable Contract</title>
      <link>https://siliconandsystems.com/en/articles/ai-architecture-contract/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-architecture-contract/</guid>
      <pubDate>Mon, 31 Aug 2026 05:40:53 GMT</pubDate>
      <description>QiMeng-CPU-v2, LEMOE, and multimodal SoC DSE show how AI narrows architecture choices, and why executable behavior remains the evidence boundary.</description>
    </item>
    <item>
      <title>Evatec Uses Film Stress to Flatten the Packaging Wafer</title>
      <link>https://siliconandsystems.com/en/articles/evatec-pvd-warpage-hybrid-bonding/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/evatec-pvd-warpage-hybrid-bonding/</guid>
      <pubDate>Sun, 30 Aug 2026 23:57:41 GMT</pubDate>
      <description>Evatec proposes low-temperature PVD SiCN for hybrid-bond interfaces and stressed SiN or SiON films for wafer-flatness control. The process claims up to 1,000 µm correction, but public evidence is still a vendor proceedings presentation.</description>
    </item>
    <item>
      <title>The Hierarchy Became the Product: 34 Industry Memory and Storage Papers from 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-memory-storage-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-memory-storage-2025/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Thirty-four company-affiliated papers connect LPDDR, NAND, MRAM, GPU filesystems, KV-cache storage, archival glass, tape, zoned media, and cloud block stores.</description>
    </item>
    <item>
      <title>One RoCE Fabric, Four Distance Classes: Meta's Communication Stack for 100K+ GPUs</title>
      <link>https://siliconandsystems.com/en/articles/meta-100k-gpu-network/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/meta-100k-gpu-network/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Meta's SIGCOMM 2026 paper explains why a 100K-GPU fabric needs topology-aware initialization, on-demand communication state and dynamic queue-pair load balancing.</description>
    </item>
    <item>
      <title>Implementation Details Became System Constraints: 35 Company-Affiliated Papers at MICRO 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-micro-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-micro-2025/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:07 GMT</pubDate>
      <description>35 verified company-affiliated MICRO papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>Seven Models, One GPU: What the Long Tail Costs and How Aegaeon Reprices It</title>
      <link>https://siliconandsystems.com/en/articles/aegaeon/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/aegaeon/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>In Alibaba's model marketplace, 94.1% of models drew 1.35% of requests yet occupied 17.7% of the GPUs. A SOSP 2025 paper moves serving decisions from the request to the token: preemptive model switching in under a second, seven models per GPU, and a production fleet cut from 1,192 H20s to 213.</description>
    </item>
    <item>
      <title>Evict First, Ask Questions Later: How ByteDance Keeps 9,600 GPUs Worth Training On</title>
      <link>https://siliconandsystems.com/en/articles/byterobust/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/byterobust/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>Across 778,135 training jobs in three months, ByteDance logged 44,184 failures and 9,582 deliberate restarts. The SOSP 2025 paper on ByteRobust argues that at this scale reliability comes not from diagnosing root causes but from evicting suspects fast, treating engineers' own code changes as a failure class, and keeping a three-month 9,600-GPU job at 97% useful time.</description>
    </item>
    <item>
      <title>Memory-Safe Compartments Without an MMU</title>
      <link>https://siliconandsystems.com/en/articles/cheriot-rtos-compartments/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cheriot-rtos-compartments/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>CHERIoT RTOS co-designs capability hardware and an operating system for fine-grained, auditable, fault-tolerant compartments on low-cost devices.</description>
    </item>
    <item>
      <title>Reuse Yesterday's Optimizer State for the Next Allocation Round</title>
      <link>https://siliconandsystems.com/en/articles/copter-resource-allocation/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/copter-resource-allocation/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>COpter exploits small round-to-round changes in GPU, shard, and WAN allocation to solve large LP and MILP control problems continually.</description>
    </item>
    <item>
      <title>Compress Keys, Values, Tokens, and Heads Differently</title>
      <link>https://siliconandsystems.com/en/articles/diffkv-kv-compaction/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/diffkv-kv-compaction/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Huawei's DiffKV differentiates precision and pruning, then compacts irregular free space in parallel on the GPU.</description>
    </item>
    <item>
      <title>When Remote HBM Becomes a Compiler-Managed Memory Level</title>
      <link>https://siliconandsystems.com/en/articles/mercury-remote-gpu-memory/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mercury-remote-gpu-memory/</guid>
      <pubDate>Sat, 05 Sep 2026 15:00:00 GMT</pubDate>
      <description>Mercury treats memory on another GPU as an explicit level of the hierarchy and searches computation, placement, and communication together. Across H100, A100, and L4 systems, the SOSP 2025 compiler finds schedules that match or exceed hand-built multi-GPU operators.</description>
    </item>
    <item>
      <title>Stop Treating the Network as a Barrier: Mercury Compiles Remote HBM into the Operator</title>
      <link>https://siliconandsystems.com/en/articles/mercury-remote-memory-operators/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mercury-remote-memory-operators/</guid>
      <pubDate>Sun, 06 Sep 2026 01:39:31 GMT</pubDate>
      <description>Mercury represents remote GPU memory, communication and loop order in one compiler IR. The SOSP 2025 work shows why topology-aware asynchronous schedules beat fixed collectives, especially when long-context operators cross node boundaries.</description>
    </item>
    <item>
      <title>Pooling PCIe Devices Without a PCIe Switch</title>
      <link>https://siliconandsystems.com/en/articles/oasis-pcie-pooling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/oasis-pcie-pooling/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>Oasis uses an existing CXL memory pool as a load/store and DMA path between hosts and remote PCIe devices. A software network engine doubles NIC utilization and fails over in 38 ms without a dedicated PCIe pooling switch.</description>
    </item>
    <item>
      <title>One Output Token Changes the Inference Engine</title>
      <link>https://siliconandsystems.com/en/articles/prefillonly-llm-prefill/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/prefillonly-llm-prefill/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>PrefillOnly discards multi-token decoding assumptions, stores only last-layer KV state, and schedules known-size discriminative LLM requests by completion time.</description>
    </item>
    <item>
      <title>Freeze the RDMA Device, Not the Application Contract</title>
      <link>https://siliconandsystems.com/en/articles/rdma-device-live-migration/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/rdma-device-live-migration/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>NVIDIA exports ConnectX device state through a generic hypervisor interface and quiesces PCIe communication for transparent VM migration.</description>
    </item>
    <item>
      <title>Let SmartNIC Control Tasks Borrow Data-Plane Cores</title>
      <link>https://siliconandsystems.com/en/articles/taichi-smartnic-scheduling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/taichi-smartnic-scheduling/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Alibaba's Tai Chi uses hybrid virtualization and a hardware workload probe to co-schedule SmartNIC control and data planes at microsecond precision.</description>
    </item>
    <item>
      <title>One Photonic Switch, Two Routing Dimensions</title>
      <link>https://siliconandsystems.com/en/articles/ecoc-space-wavelength-switch/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ecoc-space-wavelength-switch/</guid>
      <pubDate>Sun, 30 Aug 2026 12:01:03 GMT</pubDate>
      <description>Cambridge, NVIDIA, and Ghent-imec route commercial InfiniBand across a 4x4x8-wavelength silicon switch. The fabric works, but roughly 20 dB of path loss defines the next problem.</description>
    </item>
    <item>
      <title>At 100 GHz, the Laser Package Becomes Part of the Circuit</title>
      <link>https://siliconandsystems.com/en/articles/mitsubishi-400g-eml/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mitsubishi-400g-eml/</guid>
      <pubDate>Sun, 30 Aug 2026 12:01:03 GMT</pubDate>
      <description>Mitsubishi Electric narrows an EML mesa and redesigns its submount for 400 Gb/s-per-lane optics. The components cross 100 GHz, while the bondless package reaches 85 GHz and 113.4 GBaud PAM4.</description>
    </item>
    <item>
      <title>An AI Fabric Needs Three Views of the Same Failure</title>
      <link>https://siliconandsystems.com/en/articles/ai-cluster-network-ops/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-cluster-network-ops/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>Industry papers from Alibaba and ByteDance show three different control points for AI-cluster networking: infer failures from training traffic, probe paths without host agents, and steer around global congestion. Their metrics are complementary, not interchangeable.</description>
    </item>
    <item>
      <title>The FLOPS You Cannot Buy, You Wire: Inside Tencent's Half-Million-GPU Fabric</title>
      <link>https://siliconandsystems.com/en/articles/astral/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/astral/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>GPU FLOPS grew 4× from V100 to H100 while training demands grew 1500×, and the GPUs sold into China are weaker still. Tencent's answer at SIGCOMM 2025 is Astral: a three-tier fabric with no oversubscription anywhere, sized for 512K GPUs, plus the power plant, cooling, full-stack monitoring and a seconds-fast performance oracle that a rental business at that scale turns out to require.</description>
    </item>
    <item>
      <title>Ask the Switch Which Path the Probe Actually Took</title>
      <link>https://siliconandsystems.com/en/articles/bytetracker-agentless-probing/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/bytetracker-agentless-probing/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>ByteTracker replaces a server-wide probe-agent fleet with centralized probers, kernel-generated replies, and switch mirroring. In more than six months across ByteDance data centers, observed faults were localized within five seconds.</description>
    </item>
    <item>
      <title>Precision Moves Into the Architecture: Industry Circuits in 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-circuits-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-circuits-2025/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Six public industry papers from 2025 show precision moving into asynchronous pipelines, memory programming, package-scale imaging, and gradient-free learning.</description>
    </item>
    <item>
      <title>Firing the Switch: A Scale-Up Domain Built from Transceivers</title>
      <link>https://siliconandsystems.com/en/articles/infinitehbd/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/infinitehbd/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>NVL72-class domains buy their bandwidth with switch trays, and one switch failure degrades every attached node. At SIGCOMM 2025, StepFun and Lightelligence embed an optical circuit switch inside each 800G transceiver instead: rings of any size, node-level fault isolation, and an interconnect bill 31% of NVL-72's, at the price of giving up all-to-all.</description>
    </item>
    <item>
      <title>A Local Queue Cannot See the Congestion Two Switches Away</title>
      <link>https://siliconandsystems.com/en/articles/sglb-global-load-balancing/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sglb-global-load-balancing/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>SGLB distributes compact global congestion state to commodity Ethernet switches. Its prototype recovers from tested link failures in as little as 45 microseconds and raises All-to-All throughput by up to 60% under evaluated congestion.</description>
    </item>
    <item>
      <title>The Training Job Already Knows Which Network Paths Matter</title>
      <link>https://siliconandsystems.com/en/articles/skeletonhunter/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/skeletonhunter/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>SkeletonHunter infers the sparse network skeleton of containerized model training, then probes and localizes failures across overlay and physical layers. Six months of Alibaba Cloud production use found 4,816 failures with 98.2% precision and 99.3% recall.</description>
    </item>
    <item>
      <title>Alibaba Rebuilt Cloud RDMA Across Host, PCIe, and Fabric</title>
      <link>https://siliconandsystems.com/en/articles/alibaba-stellar-rdma/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/alibaba-stellar-rdma/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>Stellar replaces SR-IOV's fixed virtual functions with on-demand memory pinning, carries GPU memory type in the RNIC translation table, and sprays each connection across 128 paths. Alibaba reports a year of 400G production operation.</description>
    </item>
    <item>
      <title>The Soft Materials Set the Shape of the Advanced Package</title>
      <link>https://siliconandsystems.com/en/articles/packaging-polymers-metrology/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/packaging-polymers-metrology/</guid>
      <pubDate>Sun, 30 Aug 2026 23:57:42 GMT</pubDate>
      <description>A NIST-led IEEE perspective shows why underfill, molding compound, adhesives, and dielectrics cannot be reduced to one datasheet Tg. Measurement method, cure history, moisture, and time change the package model.</description>
    </item>
    <item>
      <title>UCIe Crosses the Rack in Light: Ayar Labs' 8.192 Tb/s Optical Retimer</title>
      <link>https://siliconandsystems.com/en/articles/ayar-ucie-optical-retimer/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ayar-ucie-optical-retimer/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Ayar Labs retimes a standard UCIe electrical interface into 16-wavelength optical links. Hot Chips 2025 results report 8.192 Tb/s bidirectional bandwidth and under 25 ns end-to-end latency.</description>
    </item>
    <item>
      <title>Optics Moves Inside the Silicon: Celestial AI's Photonic Fabric Module</title>
      <link>https://siliconandsystems.com/en/articles/celestial-photonic-fabric/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/celestial-photonic-fabric/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Celestial AI embeds photonic I/O under compute and memory instead of consuming the package edge. Its Hot Chips 2025 deck reports 1.8 Tb/s in 1.9 mm² and a 7.2 Tb/s memory module.</description>
    </item>
    <item>
      <title>A 4,000 mm² Optical Backplane: Reading Lightmatter's Passage M1000</title>
      <link>https://siliconandsystems.com/en/articles/lightmatter-passage-m1000/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/lightmatter-passage-m1000/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>Lightmatter's Passage M1000 stitches eight photonic tiles into a 4,000 mm² interposer complex with 1,024 SerDes and up to 114 Tb/s of aggregate transmit-plus-receive bandwidth.</description>
    </item>
    <item>
      <title>The Hardware-Software Contract Moved Again: 59 Company-Affiliated Papers at ASPLOS 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-asplos-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-asplos-2025/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:01 GMT</pubDate>
      <description>59 verified company-affiliated ASPLOS papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>An RDMA NIC Needs a Scheduler, Not Just Faster Queues</title>
      <link>https://siliconandsystems.com/en/articles/swiftrdma-rnic-scheduling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/swiftrdma-rnic-scheduling/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>SwiftRDMA treats hidden RNIC resources as schedulable infrastructure. Its early prototype maps UARs, context caches, processing pipelines, and queue pairs to signals and actions that software can control.</description>
    </item>
    <item>
      <title>When Thousands of GPUs Wait for Storage: Reading MLPerf Storage 2.0</title>
      <link>https://siliconandsystems.com/en/articles/mlperf-storage-v2/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mlperf-storage-v2/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>MLPerf Storage 2.0 turns AI I/O into two auditable tests: keeping emulated accelerators fed during training and moving trillion-parameter checkpoints. Its most useful result is a method for finding where storage stops scaling.</description>
    </item>
    <item>
      <title>One Publishing Path for Live and Collaborative Video</title>
      <link>https://siliconandsystems.com/en/articles/anchornet-collaborative-streaming/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/anchornet-collaborative-streaming/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>ByteDance's AnchorNet keeps a TikTok channel on one broadcaster-to-CDN path while it switches between solo and collaborative streaming, then splices audio at sample granularity.</description>
    </item>
    <item>
      <title>A New GPU Can Help Before the Model Finishes Loading: BlitzScale's Live Autoscaling</title>
      <link>https://siliconandsystems.com/en/articles/blitzscale-live-autoscaling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/blitzscale-live-autoscaling/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>BlitzScale combines network-based weight distribution with temporary layer-level cooperation. A partially loaded instance relieves an overloaded peer before it can serve a complete model independently.</description>
    </item>
    <item>
      <title>When One Ordered Stream Must Reach Thousands of Readers</title>
      <link>https://siliconandsystems.com/en/articles/fast-acs-ordered-delivery/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/fast-acs-ordered-delivery/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Google's Fast ACS separates durable ordered files from a 4 KB RMA cache so thousands of readers can tail one stream without turning a storage server into the fan-out bottleneck.</description>
    </item>
    <item>
      <title>A Failure Detector Fast Enough to Change the Protocol</title>
      <link>https://siliconandsystems.com/en/articles/fide-crash-failure-detection/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/fide-crash-failure-detection/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>FiDe reserves an isolated OS and network path for heartbeats so a datacenter process crash can be reported in under 30 microseconds without false suspicions in the evaluated setting.</description>
    </item>
    <item>
      <title>Recover the Reduction Tree from Floating-Point Outputs</title>
      <link>https://siliconandsystems.com/en/articles/floating-point-accumulation-order/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/floating-point-accumulation-order/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Microsoft Research's FPRev uses crafted numerical inputs to reveal undocumented CPU, GPU, BLAS, and Tensor Core accumulation orders without source code or traces.</description>
    </item>
    <item>
      <title>The GPU Did Not Crash, Yet 1,024 Workers Slowed Down</title>
      <link>https://siliconandsystems.com/en/articles/greyhound-fail-slow/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/greyhound-fail-slow/</guid>
      <pubDate>Sun, 30 Aug 2026 12:01:01 GMT</pubDate>
      <description>GREYHOUND studies fail-slow incidents across Alibaba's 10,000-plus-GPU training fleet. Large jobs were affected more often and lost 34.59% of completion time on average, making diagnosis and staged mitigation an operational capacity problem.</description>
    </item>
    <item>
      <title>Inside the GPU Kernel: KPerfIR Makes Compiler Decisions Measurable</title>
      <link>https://siliconandsystems.com/en/articles/kperfir-kernel-observability/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/kperfir-kernel-observability/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>KPerfIR carries loop and warp semantics into GPU profiling. Its FlashAttention case shows how a misplaced barrier can waste overlap, while instrumentation cost and trace reconstruction remain part of the measurement.</description>
    </item>
    <item>
      <title>Record the Kernel Slice, Not the Entire Machine</title>
      <link>https://siliconandsystems.com/en/articles/krr-kernel-replay/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/krr-kernel-replay/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>SmartX's KRR narrows deterministic record-replay to guest-kernel execution and splits input capture between guest instrumentation and the hypervisor, reducing cost for concurrent and kernel-bypass workloads.</description>
    </item>
    <item>
      <title>Spend Latency When the Shopper Stops Moving</title>
      <link>https://siliconandsystems.com/en/articles/marc-mobile-cloud-rendering/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/marc-mobile-cloud-rendering/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Alibaba's MARC changes video bitrate frame by frame because shoppers value responsiveness during object motion and image quality while inspecting a still view.</description>
    </item>
    <item>
      <title>Why Elastic Tensors Help PCIe GPU Servers More</title>
      <link>https://siliconandsystems.com/en/articles/mtuner-pcie-finetuning/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mtuner-pcie-finetuning/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>mTuner treats frozen weights and runtime tensors as a changing memory budget. By gathering, discarding, checkpointing, and accumulating tensors at different times, it reduces communication where PCIe hurts most.</description>
    </item>
    <item>
      <title>The Receive Ring Was Doing Two Jobs</title>
      <link>https://siliconandsystems.com/en/articles/nic-receive-ring-dual-role/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/nic-receive-ring-dual-role/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>RxBisect separates empty-buffer allocation from packet delivery, allowing NIC receive capacity to absorb bursts without multiplying the packet-buffer working set across CPU cores.</description>
    </item>
    <item>
      <title>Read Layout Is Not a Recovery Group: Okapi Separates Two Storage Decisions</title>
      <link>https://siliconandsystems.com/en/articles/okapi-decoupled-storage/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/okapi-decoupled-storage/</guid>
      <pubDate>Tue, 08 Sep 2026 15:22:20 GMT</pubDate>
      <description>Okapi independently chooses how widely a file is striped and which blocks share erasure-code protection. Its HDD experiments show better read efficiency and cheaper redundancy changes, with explicit degraded-read tradeoffs.</description>
    </item>
    <item>
      <title>Move Paging Policy Out, Keep the Fault Path In</title>
      <link>https://siliconandsystems.com/en/articles/pageflex-ebpf-paging/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/pageflex-ebpf-paging/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Google's PageFlex uses eBPF to move reclamation and prefetch decisions into user space while leaving Linux swap and the latency-critical page-fault path in the kernel.</description>
    </item>
    <item>
      <title>One Training Contract Across Ten Million CPU Cores</title>
      <link>https://siliconandsystems.com/en/articles/primus-recommendation-training/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/primus-recommendation-training/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>ByteDance's Primus unifies YARN and Kubernetes resources, batch and stream data, and offline-online recommendation training behind one declarative job contract.</description>
    </item>
    <item>
      <title>When an LLM Writes the Port and a Solver Repairs It</title>
      <link>https://siliconandsystems.com/en/articles/qimeng-xpiler/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/qimeng-xpiler/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>QiMeng-Xpiler decomposes tensor-code migration into LLM-assisted passes, repairs small incorrect regions with symbolic synthesis, and searches pass order and tuning parameters across four accelerator programming models.</description>
    </item>
    <item>
      <title>A Sub-Millisecond Fork Does Not Make a Fast Function</title>
      <link>https://siliconandsystems.com/en/articles/serverless-cold-start-fork/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/serverless-cold-start-fork/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Ant Group's AFaaS treats cold start as an end-to-end path, replacing general OCI interactions, pooling contended kernel resources, and forking from a hierarchy of language and function seeds.</description>
    </item>
    <item>
      <title>Inference Can Borrow the Whole GPU: SIRIUS Makes Training Return Memory in Milliseconds</title>
      <link>https://siliconandsystems.com/en/articles/sirius-gpu-memory-handover/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/sirius-gpu-memory-handover/</guid>
      <pubDate>Sun, 06 Sep 2026 01:39:33 GMT</pubDate>
      <description>SIRIUS colocates latency-sensitive inference with elastic training and hands GPU memory back at safe points inside a batch. The ATC 2025 paper reports sub-5 ms adjustment and 2.2× average training-throughput improvement.</description>
    </item>
    <item>
      <title>A Two-Second Freshness Contract Without Rebuilding the Cache</title>
      <link>https://siliconandsystems.com/en/articles/skybridge-bounded-staleness/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/skybridge-bounded-staleness/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Meta's Skybridge replicates recent write metadata through an independent, gap-detecting path so TAO can prove cache freshness without sending ordinary reads back to the primary database.</description>
    </item>
    <item>
      <title>When Idle Models Leave the GPU: Paying Only for Active Inference</title>
      <link>https://siliconandsystems.com/en/articles/torpor-serverless-gpu/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/torpor-serverless-gpu/</guid>
      <pubDate>Sun, 30 Aug 2026 12:01:01 GMT</pubDate>
      <description>Torpor keeps inactive inference models in host memory and binds each arriving request to a four-GPU pool. Its Alibaba Cloud pilot reports 70% lower user cost, but the result depends on a precise memory, SLO, and workload contract.</description>
    </item>
    <item>
      <title>A Million Cores Do Not Behave Like One GPU: WaferLLM Rewrites Inference for the Mesh</title>
      <link>https://siliconandsystems.com/en/articles/waferllm-mesh-inference/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/waferllm-mesh-inference/</guid>
      <pubDate>Sun, 06 Sep 2026 01:39:30 GMT</pubDate>
      <description>WaferLLM maps prefill, decode and KV-cache movement onto a wafer-scale mesh instead of pretending that 850,000 local memories form one GPU. Its OSDI 2025 results expose both the promise and the portability limits of wafer-scale inference.</description>
    </item>
    <item>
      <title>Long Contexts Turn Equal Tokens into Unequal Work</title>
      <link>https://siliconandsystems.com/en/articles/wlb-llm-4d-parallelism/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/wlb-llm-4d-parallelism/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>WLB-LLM balances long-context training by packing documents according to predicted work and selecting context-parallel sharding per micro-batch, rather than treating equal token counts as equal GPU loads.</description>
    </item>
    <item>
      <title>One Scheduler for Ten Accelerators: XSched's Three Levels of Preemption</title>
      <link>https://siliconandsystems.com/en/articles/xsched-xpu/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/xsched-xpu/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>XSched gives GPUs, NPUs, fixed-function ASICs and FPGAs one preemptible queue abstraction. Across ten devices, it cuts priority interference while preserving throughput, but the hardware's preemption level still sets the latency floor.</description>
    </item>
    <item>
      <title>Why AI Reached Industrial Physical Design Before Architecture</title>
      <link>https://siliconandsystems.com/en/articles/ai-physical-design-first/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ai-physical-design-first/</guid>
      <pubDate>Mon, 31 Aug 2026 05:40:52 GMT</pubDate>
      <description>INSTA, LEGO-Size, and GOALPlace explain why physical design became the first chip-design domain where learned models can close a measurable industrial loop.</description>
    </item>
    <item>
      <title>A CPU Benchmark That Meta Was Willing to Buy Servers With</title>
      <link>https://siliconandsystems.com/en/articles/dcperf-cpu-benchmark/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/dcperf-cpu-benchmark/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>DCPerf models web, cache, analytics, ranking, and video services closely enough to project Meta production performance within 3.3% across four server generations. That changes benchmarking from leaderboard work to procurement infrastructure.</description>
    </item>
    <item>
      <title>The Hardware Wishlist DeepSeek Wrote on a Halved NVLink</title>
      <link>https://siliconandsystems.com/en/articles/deepseek-scaleup/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/deepseek-scaleup/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>DeepSeek trained V3 on 2,048 H800 GPUs whose NVLink runs at 400 GB/s instead of 900. An ISCA 2025 industry paper turns that handicap into arithmetic: on 400G interconnects, MoE decode tops out near 67 tokens per second, against roughly 1,200 for a rack-scale fabric, and the authors spell out the hardware they want next.</description>
    </item>
    <item>
      <title>Why Llama 3 Needed Four Kinds of Parallelism at Once</title>
      <link>https://siliconandsystems.com/en/articles/llama3-parallelism/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/llama3-parallelism/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Meta trained Llama 3 405B on 16,384 H100 GPUs with FSDP, tensor, pipeline, and context parallelism. The paper shows why efficiency at that scale depends on flexible schedules and debugging, not one ideal partition.</description>
    </item>
    <item>
      <title>No HBM, No Apologies: MTIA 2i and Meta's Productionization Ledger</title>
      <link>https://siliconandsystems.com/en/articles/mtia/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mtia/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>Meta's second-generation inference chip swaps HBM for 256 MB of SRAM over LPDDR, packs 24 chips into a server that matches eight GPUs, and cuts total cost of ownership by 44%. The ISCA 2025 paper spends its best pages on what silicon papers usually omit: memory errors at fleet scale, overclocking studies, a 40% power-budget cut, and firmware shipped 23 times in a year.</description>
    </item>
    <item>
      <title>Architecture Reached the Fleet: 43 Company-Affiliated Papers at ISCA 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-isca-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-isca-2025/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:05 GMT</pubDate>
      <description>43 verified company-affiliated ISCA papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>CPO Has to Survive Reflow: Intel's Fiber-to-EMIB Package</title>
      <link>https://siliconandsystems.com/en/articles/intel-emib-fiber-cpo/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/intel-emib-fiber-cpo/</guid>
      <pubDate>Sun, 30 Aug 2026 23:53:20 GMT</pubDate>
      <description>Intel connects a 24-channel optical I/O chiplet to an XPU through EMIB and tests the fiber assembly through reflow and JEDEC stress. The paper treats optical loss as a manufacturing variable, not a laboratory constant.</description>
    </item>
    <item>
      <title>IBM Moves the Heat Spreader into the Organic Substrate</title>
      <link>https://siliconandsystems.com/en/articles/ibm-graphite-substrate-cooling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ibm-graphite-substrate-cooling/</guid>
      <pubDate>Sun, 30 Aug 2026 23:57:40 GMT</pubDate>
      <description>IBM embeds an electrically isolated graphite sheet in an organic flip-chip substrate. A reported simulation lowers one concentrated hot spot by 4.8°C, but anisotropy and integration reliability decide whether the idea scales.</description>
    </item>
    <item>
      <title>Pool the Buffer, Not the Device: A CXL Shortcut Around PCIe Switches</title>
      <link>https://siliconandsystems.com/en/articles/cxl-pcie-pooling/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cxl-pcie-pooling/</guid>
      <pubDate>Sun, 30 Aug 2026 23:48:25 GMT</pubDate>
      <description>A HotOS paper from Microsoft and university researchers argues that a shared CXL memory pool can route I/O to remote NICs, SSDs and accelerators without a PCIe switch. The 100 Gbps prototype is promising, but the production control plane remains the real research problem.</description>
    </item>
    <item>
      <title>Long Contexts Leave GPU Waves Half Empty: LeanAttention Rebalances Decode</title>
      <link>https://siliconandsystems.com/en/articles/leanattention-decode-tiles/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/leanattention-decode-tiles/</guid>
      <pubDate>Sun, 06 Sep 2026 01:39:32 GMT</pubDate>
      <description>LeanAttention turns exact softmax rescaling into a reduction and distributes long-context decode as balanced stream-K tiles. The MLSys 2025 paper reports 1.73× average attention speedup without approximating the result.</description>
    </item>
    <item>
      <title>Eighty Percent Far, Eighty-Five Percent Fast: A Database Placement Rule for CXL</title>
      <link>https://siliconandsystems.com/en/articles/cxl-database-placement/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/cxl-database-placement/</guid>
      <pubDate>Sun, 30 Aug 2026 23:48:25 GMT</pubDate>
      <description>A PVLDB study with SAP participation measures four real CXL memory devices, vector scans, B+trees and TPC-H. Its useful result is not one latency ratio: keeping frequently accessed columns and temporary state local can place over 80% of table data on CXL while retaining at least 85% of local-only throughput.</description>
    </item>
    <item>
      <title>A Checkpoint Should Outlive the GPU Layout: ByteCheckpoint Saves Logical Tensors</title>
      <link>https://siliconandsystems.com/en/articles/bytecheckpoint-parallelism-agnostic/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/bytecheckpoint-parallelism-agnostic/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:47 GMT</pubDate>
      <description>ByteCheckpoint separates tensor identity from the parallel layout that wrote it, then reshares state while loading into a different framework, GPU count, or training stage.</description>
    </item>
    <item>
      <title>RDMA Remote Memory Without a Memory-Node CPU</title>
      <link>https://siliconandsystems.com/en/articles/odrp-remote-paging/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/odrp-remote-paging/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>ODRP turns native RDMA work requests into a 4 KB remote allocator. The result is a memory pool that keeps one-sided access and zero memory-node CPU use without reserving gigabyte slabs for every client.</description>
    </item>
    <item>
      <title>Three Percent Globally, a Grid Problem Locally: Reading the IEA's AI Forecast</title>
      <link>https://siliconandsystems.com/en/articles/energy-ai-grid/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/energy-ai-grid/</guid>
      <pubDate>Wed, 26 Aug 2026 15:00:00 GMT</pubDate>
      <description>The IEA projects datacenter electricity use to reach about 945 TWh in 2030, just under 3% of global demand. The harder engineering problem is that new gigawatts arrive in a few places, faster than grids can connect them.</description>
    </item>
    <item>
      <title>Training Already Sends the Gradients: FlowCheck Rebuilds Checkpoints from Mirrored Traffic</title>
      <link>https://siliconandsystems.com/en/articles/flowcheck-network-checkpoint/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/flowcheck-network-checkpoint/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:50 GMT</pubDate>
      <description>FlowCheck mirrors ordinary all-reduce traffic to CPU checkpoint nodes, identifies complete gradient updates, and reconstructs training state without pausing GPU workers for a separate dump.</description>
    </item>
    <item>
      <title>One Controller Above, Many Below: HybridFlow, the Engine Inside verl</title>
      <link>https://siliconandsystems.com/en/articles/hybridflow/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/hybridflow/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>RLHF juggles four distributed LLMs whose outputs feed each other, and existing frameworks made that dataflow either flexible or fast, never both. ByteDance's EuroSys 2025 paper splits the difference by construction: one controller orchestrates the graph, many controllers run each model, and a resharding engine moves the actor between training and generation with zero duplicate weights. The result ships as verl.</description>
    </item>
    <item>
      <title>Prefill Has Compute, Decode Has Bandwidth: POD-Attention Puts Both on the Same SM</title>
      <link>https://siliconandsystems.com/en/articles/pod-attention-hybrid-batching/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/pod-attention-hybrid-batching/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:51 GMT</pubDate>
      <description>POD-Attention fuses compute-heavy prefill and bandwidth-heavy decode attention at CTA granularity, using SM-aware scheduling to occupy resources that separate kernels leave idle.</description>
    </item>
    <item>
      <title>Cloud Isolation Without Leaving the Fast Path: What Vela Learned at 1,500 GPUs</title>
      <link>https://siliconandsystems.com/en/articles/vela-virtualized-llm-training/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/vela-virtualized-llm-training/</guid>
      <pubDate>Sun, 06 Sep 2026 15:20:48 GMT</pubDate>
      <description>Vela combines KVM virtual machines, SR-IOV NICs, GPU Direct, and RoCE on commercial hardware, showing how a cloud control plane can retain a direct GPU data path at cluster scale.</description>
    </item>
    <item>
      <title>Alibaba Makes Collective Communication Diagnose the Cluster</title>
      <link>https://siliconandsystems.com/en/articles/c4-training-efficiency/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/c4-training-efficiency/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>C4 uses the regular timing of training collectives to detect faulty nodes and plan long-lived network flows. Alibaba reports recovering 30% failure overhead and about 15% communication cost in production.</description>
    </item>
    <item>
      <title>Measured Architecture Became an Operating Policy: 40 Company-Affiliated Papers at HPCA 2025</title>
      <link>https://siliconandsystems.com/en/articles/industry-architecture-hpca-2025/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-architecture-hpca-2025/</guid>
      <pubDate>Mon, 31 Aug 2026 13:51:03 GMT</pubDate>
      <description>40 verified company-affiliated HPCA papers connect architecture mechanisms to production software, model execution, memory behavior, reliability, and fleet operation.</description>
    </item>
    <item>
      <title>The Largest GPU Jobs Fail Most, but Small Jobs Still Set Fleet Policy</title>
      <link>https://siliconandsystems.com/en/articles/meta-ml-reliability/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/meta-ml-reliability/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Meta analyzed four million jobs and more than 150 million A100 GPU-hours across two research clusters. Reliability policy must cover rare giant jobs and the many smaller jobs that dominate queue and failure interactions.</description>
    </item>
    <item>
      <title>AI Energy Needs a Meter That Survives Nine Orders of Magnitude</title>
      <link>https://siliconandsystems.com/en/articles/mlperf-power/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mlperf-power/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>MLPerf Power standardizes energy measurement from microwatt edge devices to megawatt datacenters. Its 1,841 measurements show why accuracy, data movement, and system boundary must stay attached to every efficiency claim.</description>
    </item>
    <item>
      <title>A Filesystem Process Can Crash Without Erasing the Application's Past</title>
      <link>https://siliconandsystems.com/en/articles/ananke-filesystem-recovery/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ananke-filesystem-recovery/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>Ananke gives a user-space filesystem a separate process-crash recovery path, reconstructing volatile application-visible state from a protected operation log instead of forcing every update to storage.</description>
    </item>
    <item>
      <title>A TEE Must Reject Disk States the Application Never Committed</title>
      <link>https://siliconandsystems.com/en/articles/atomicdisk-tee-storage/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/atomicdisk-tee-storage/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>AtomicDisk adds sync atomicity to SGX protected storage so cache-evicted transient disk states cannot be captured and replayed as if the application had committed them.</description>
    </item>
    <item>
      <title>Container Startup Wants a Memory Image, Not a Storage Archive</title>
      <link>https://siliconandsystems.com/en/articles/flacio-container-images/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/flacio-container-images/</guid>
      <pubDate>Mon, 31 Aug 2026 16:50:27 GMT</pubDate>
      <description>FlacIO traces service startup once, compacts the required pages into a contiguous runtime image, and injects them into a kernel page cache to remove network request amplification from lazy container loading.</description>
    </item>
    <item>
      <title>Buying Back FLOPs with DRAM: Mooncake, the Cache That Serves Kimi</title>
      <link>https://siliconandsystems.com/en/articles/mooncake/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mooncake/</guid>
      <pubDate>Tue, 25 Aug 2026 15:00:00 GMT</pubDate>
      <description>Moonshot AI serves its long-context chatbot from a cluster-wide pool of CPU memory and SSDs that caches every reusable KV prefix. The FAST 2025 paper behind Kimi's serving platform shows the arithmetic of trading storage for computation: up to 498% more requests within SLOs, and a fleet that handles 115% more traffic than its predecessor.</description>
    </item>
    <item>
      <title>A 600 mm² Mainframe Die Becomes a System: Inside IBM Telum II</title>
      <link>https://siliconandsystems.com/en/articles/ibm-telum-ii/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/ibm-telum-ii/</guid>
      <pubDate>Sun, 30 Aug 2026 11:27:42 GMT</pubDate>
      <description>IBM Telum II combines eight 5.5 GHz cores, 360 MB of on-chip cache, AI acceleration and an I/O DPU on a 43-billion-transistor Samsung 5 nm die.</description>
    </item>
    <item>
      <title>HBM Saves Clock Power by Rebuilding Four Phases at the Data Groups</title>
      <link>https://siliconandsystems.com/en/articles/hbm-local-clock-regeneration/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/hbm-local-clock-regeneration/</guid>
      <pubDate>Mon, 31 Aug 2026 10:19:31 GMT</pubDate>
      <description>An ISSCC 2025 circuit sends one phase-rotating reference across an HBM die and reconstructs four 2-to-5 GHz clocks beside each DQ group. The 850 µW generator filters jitter and starts on the first useful edge, but the evidence remains a clock-network result rather than a full HBM power measurement.</description>
    </item>
    <item>
      <title>Let the Optical Topology Follow the GPU Allocation</title>
      <link>https://siliconandsystems.com/en/articles/lumorph-photonic-rack/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/lumorph-photonic-rack/</guid>
      <pubDate>Sun, 30 Aug 2026 12:01:03 GMT</pubDate>
      <description>Cornell and Lightmatter move optical circuit switching underneath the accelerator. Their LIGHTPATH device reconfigures in 3.7 microseconds; the rack-scale gains remain simulated.</description>
    </item>
    <item>
      <title>Count the Laser: Co-Designing a 224 Gb/s Coherent CPO Link</title>
      <link>https://siliconandsystems.com/en/articles/laser-forwarded-cpo-codesign/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/laser-forwarded-cpo-codesign/</guid>
      <pubDate>Sun, 30 Aug 2026 23:53:30 GMT</pubDate>
      <description>A Journal of Lightwave Technology model puts laser loss, modulator drive and host equalization inside one 224 Gb/s coherent CPO boundary. Moving one equalizer tap changes the projected total from 2.0 to 1.2 pJ/b.</description>
    </item>
    <item>
      <title>When AI Placement Becomes Production Silicon</title>
      <link>https://siliconandsystems.com/en/articles/alphachip-production-silicon/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/alphachip-production-silicon/</guid>
      <pubDate>Mon, 31 Aug 2026 05:44:41 GMT</pubDate>
      <description>AlphaChip did not generate a whole processor. It learned to place large circuit blocks inside a conventional implementation flow, and Google reports that the method reached three TPU generations and Axion CPUs that now run production services.</description>
    </item>
    <item>
      <title>What Industry Put on Silicon in 2024</title>
      <link>https://siliconandsystems.com/en/articles/industry-circuits-2024/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-circuits-2024/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Nine publicly accessible industry papers from the leading solid-state-circuit venues show where measured silicon changed the design argument in 2024.</description>
    </item>
    <item>
      <title>Memory Stopped Being a Component: 35 Industry Papers from 2024</title>
      <link>https://siliconandsystems.com/en/articles/industry-memory-storage-2024/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/industry-memory-storage-2024/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>Thirty-five company-affiliated papers show how HBM, LPDDR, NAND, CXL memory, flash caches, file systems, and cloud storage became one placement problem in 2024.</description>
    </item>
    <item>
      <title>MI300A Turns the Accelerator Package into the Compute Node</title>
      <link>https://siliconandsystems.com/en/articles/mi300a-package/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/mi300a-package/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>AMD's MI300A joins 24 Zen 4 cores, six CDNA 3 GPU chiplets, and 128 GB of HBM3 in one coherent package. The important result is not density alone, but the removal of the CPU-to-GPU copy boundary.</description>
    </item>
    <item>
      <title>FuriosaAI Replaces the Fixed Matrix with a Shape-Shifting Tensor Engine</title>
      <link>https://siliconandsystems.com/en/articles/tensor-contraction-processor/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/tensor-contraction-processor/</guid>
      <pubDate>Sat, 29 Aug 2026 15:00:00 GMT</pubDate>
      <description>FuriosaAI's 5 nm Tensor Contraction Processor treats a tensor contraction, not a fixed matrix tile, as the primitive. Coarse processing elements split into slices so one 150 W chip can follow changing inference shapes.</description>
    </item>
    <item>
      <title>Routable PCIe Is a Fabric, Not a Longer Bus</title>
      <link>https://siliconandsystems.com/en/articles/routable-pcie-bench/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/routable-pcie-bench/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>rPCIeBench measures what changes when PCIe crosses non-transparent bridges. One-way latency rises from 379.0 to 868.6 ns, while credit flow and directional links create predictable bandwidth-sharing rules.</description>
    </item>
    <item>
      <title>Spend Delay Before the First Hop to Buy Back Bandwidth</title>
      <link>https://siliconandsystems.com/en/articles/traffic-reprofiling-deadlines/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/traffic-reprofiling-deadlines/</guid>
      <pubDate>Sun, 30 Aug 2026 01:49:33 GMT</pubDate>
      <description>Traffic reprofiling spends part of a hard latency budget at ingress to smooth bursts before they traverse multiple links. A Google-affiliated journal study shows when that trade can lower required bandwidth and where its assumptions limit deployment.</description>
    </item>
    <item>
      <title>Making a SmartNIC Fast Across a Slow PCIe Boundary</title>
      <link>https://siliconandsystems.com/en/articles/honeycomb-pcie-smartnic/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/honeycomb-pcie-smartnic/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>Honeycomb keeps a large B-tree in host DRAM while an FPGA SmartNIC executes GET and SCAN. Caching, segmented nodes, out-of-order requests, and wait-free reads turn PCIe from a fatal bottleneck into a managed hierarchy.</description>
    </item>
    <item>
      <title>The Protocol Debt Inside Hyperscale RoCE</title>
      <link>https://siliconandsystems.com/en/articles/roce-hyperscale-limits/</link>
      <guid isPermaLink="true">https://siliconandsystems.com/en/articles/roce-hyperscale-limits/</guid>
      <pubDate>Mon, 31 Aug 2026 00:04:17 GMT</pubDate>
      <description>RoCE preserved Ethernet deployment while importing lossless RDMA semantics. At hyperscale, PFC headroom, congestion trees, go-back-N recovery, connection state, headers, security, and FEC become one coupled protocol cost.</description>
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