Staff Software Engineer · Tesla Design Technology · Bay Area
Anpoo Sivanadi
I build reliable software platforms and the engineering systems that help teams ship with confidence.
01
Selected work
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Talk
Real Work, Real State: How TESLA Leverages 3DEXPERIENCE R2025x on Linux
3DEXPERIENCE & ENOVIA User Conference 2026 · Session 207 · 11 March 2026 · with Jay Vyas
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Writing
Humming Is Already in Your vLLM Install. Here's What the Quantized Kernel Numbers Actually Say.
On October 21, 2026, Ant Group and the vLLM community published Announcing Humming: Fast, Flexible Kernels for Quantized Inference.
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Writing
vLLM and SGLang Both Caught DeepInfer on DeepSeek-V4.1-Flash. Read the Setups Before the Headlines.
A few days after DeepSeek open-sourced DeepInfer, its own engine for DeepSeek-V4.1-Flash, both big general-purpose engines answered.
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Writing
Million-Token GLM-5.3 on 16 H200s: What PCP, DCP and HiSparse Actually Buy You
The vLLM team published GLM-5.3 Optimizations, Part 2 on October 23, 2026.
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Writing
llm-d 1.0 Upgrade Notes: Pinned Engines, a DisaggregatedSet Prerequisite, and Quiet Dashboard Breaks
The llm-d maintainers published llm-d v1.0 on October 20, 2026.
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Writing
MiniMax-M3.1-Flash on vLLM: What an NVFP4 KV Cache Changes for Capacity Planning
MiniMax put MiniMax-M3.1-Flash on Hugging Face on October 23, and the vLLM team published a day-0 support post the same day.
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Writing
Dynamo 1.6 Upgrade Notes: Renamed Workers, a Mandatory Queue, and the Known Issues That Matter
NVIDIA's distributed inference platform Dynamo v1.6.0 was published at 22:31 UTC on October 22, 2026, which was 3:31 PM PT.
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Writing
Raon-1 mini Preview: 8 KiB of KV per Token, and a Commit Log Worth Reading
KRAFTON released Raon-1 mini preview on October 21 under Apache 2.0.
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Writing
DeepSeek Open-Sourced DeepInfer. The Deployment Q&A Is the Part to Read.
DeepSeek put DeepInfer on GitHub this week under Apache 2.0.
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Writing
Reading Flint's Serving Kit Before the Benchmarks: A 40B MoE That Wants One Big GPU
Recursive released Flint today, an Apache 2.0 mixture-of-experts coding model with 39.8B total parameters and about 2.5B active per token.
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Writing
The Layer Your Autotuner Never Touches: Helion Now Searches ptxas Controls
Every kernel autotuner I've used searches the same kind of thing.
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Writing
TorchTPU Is Open Source: What Running PyTorch Natively on TPUs Actually Involves
This morning I wrote about TorchNeuron and noted that TorchTPU was only a conference session with a repo on the way.
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Writing
TorchNeuron Public Beta: What Changes When Trainium Becomes a Normal PyTorch Device
AWS opened up TorchNeuron today at PyTorch Conference North America in San Jose.
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Writing
Meta's Prometheus Numbers: What 64-of-72 Sparing and a 54K GPU-Hour MTBI Mean for NVL72 Operators
Meta published Inside Prometheus on October 19, 2026.
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Writing
vLLM 0.32 Upgrade Notes: The Defaults That Changed Under You
vLLM v0.32.0 was published at 06:50 UTC on October 18, 2026, which was 11:50 PM PT on October 17.
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Writing
SGLang 0.5.22 Upgrade Notes: Flags That Changed Meaning
SGLang v0.5.22 was published at 02:55 UTC on October 19, 2026, which was 7:55 PM PT on October 18.
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Writing
Dory1.0-4B: What a Looped 4B Model Actually Costs Per Token
NVIDIA put Nemotron-Labs Dory1.0-4B on Hugging Face on October 16 under the OpenMDW-1.1 license.
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Writing
Granite Switch 4.1: Three Models' Worth of Jobs on One KV Cache
IBM shipped Granite Switch 4.1 this week in 8B and 30B sizes, Apache 2.0.
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Writing
vLLM's Two New KV Transfer Modes, and Why You Pick One
Two posts on the vLLM blog this week change how KV cache moves between prefill and decode workers in a disaggregated deployment.
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Writing
Ling-3.1-flash: What 63 Linear-Attention Layers Do to the KV Budget
inclusionAI, the Ant Group team behind the Ling, Ring and Ming model families, put the weights for Ling-3.1-flash on Hugging Face this week under the MIT license.
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Writing
Nemotron 3.5 Super VL and Bolt: Hybrid MoE Served From Rack to 24 GB
NVIDIA put Nemotron 3.5 Super VL and Bolt on Hugging Face on October 15, the same window RTX Spark PCs started shipping.
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Writing
Muse Spark Open: Latent MoE, Hybrid Attention, and a 1M Context That Actually Fits
Meta put the Muse Spark Open weights on Hugging Face today, October 15, the same day vLLM shipped day-0 support and NVIDIA published GB300 NVL72 serving numbers.
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Writing
Step 5 Preview Weights Are Out: 600B, 92 Layers, and a 74 GB Million-Token KV Cache
StepFun put the Step 5 Preview weights on Hugging Face last night, the same day SGLang published its day-0 support post.
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Writing
Intel GPU D270: 480 GB on a PCIe Card, and What That Memory Is Actually For
Intel used the OCP Global Summit this week to put final numbers and a name on Crescent Island.
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Writing
ReplaySSM: Hybrid Models Were Paying an HBM Tax on Every Token
A lot of the models people serve this year are hybrids.
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Writing
Gemini 4 Argon: One 1M-Token Budget, a Continuation Protocol, and a Scorecard That Doesn't Win Everywhere
Google shipped Gemini 4 Argon today, October 13, as the first model in the Gemini 4 family.
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Writing
Maia 300: Microsoft’s Inference ASIC Puts 288 GB of HBM4 and a 12,288-Chip Ethernet Superpod on the Table
Microsoft used the same stage to put numbers on Azure Maia 300, the third generation of its in-house inference accelerator and the first Maia built as a multi-chiplet part.
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Writing
OSPA: Meta, Microsoft and Alibaba Want Every AI Fabric Switch to Boot the Same Way
On October 8, OCP posted Open Switch Platform Architecture, a draft under OCP review initiated by Meta, Microsoft, and Alibaba: a vendor-neutral switch platform layer so AI fabric SKUs can boot, inventory, and flash the same way.
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Writing
Mellum2.1: A 12B MoE Coding Agent Model, and the GGUF Builds That Make It Runnable Tonight
On October 8, JetBrains released Mellum2.1, the post-trained successor to the Mellum2 Thinking checkpoint they open-sourced in June.
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Writing
Liquid Open d1: Zero Output Tokens, Named Jetson Latencies, and What a Decision Model Actually Is
On October 7, Liquid AI open-weighted two models in its d1 family: d1-3B and experimental d1-omni-600M.
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Writing
Vera Rubin Day Zero: What SGLang Changed in the Kernels, and What vLLM Measured on AgentX
On October 9, two open serving stacks published the first useful Vera Rubin numbers that are not a keynote slide.
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Writing
RTX Spark N1X: The Windows Numbers That Matter Are TDP, Memory Ceiling, and Prefill
On October 7, NVIDIA and Microsoft opened Windows pre-orders for RTX Spark laptops (availability October 16; compact desktops in November) and previewed DGX Station for Windows for Q4.
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Writing
Scality AI Inference Factory: Object Storage Over RDMA as the Shared KV Cache
Scality launched AI Inference Factory on October 8: an open-code stack for serving open-weight models on infrastructure you own, with Scality ADI as a shared key-value (KV) cache behind the GPUs.
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Writing
Upscale Token Fabric: SkyFabriX at 115.2 Tbps Meets Spectrum-X Scale-Out Under One OS
A day after Arista’s Etherlink SU-144, Upscale published Token Fabric: SkyFabriX at 115.2 Tbps, Spectrum-X scale-out, and one OS for both, with general availability aimed at early 2027.
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Writing
Claude Haiku 5.5: The Price Cut Is Real, but Read the 100K Tier, the Tokenizer, and the Output Bill
Anthropic released Claude Haiku 5.5 on October 7: the small model next to Sonnet 5.5 and Opus 5.5 for high-volume work, with a real price cut that still needs the 100K tier, the tokenizer, and the output bill read first.
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Writing
Arista Etherlink SU-144: Ethernet Moves Inside the Scale-Up Domain, and the Rack Becomes the Unit
Arista’s Etherlink SU-144 puts 144 accelerators in a single-hop Ethernet scale-up domain inside one rack, and up to 1,024 across racks, on OCP ESUN 1.0 — a partner-built reference design, not a SKU.
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Writing
openTPU: An Agent-Built LLM Accelerator on a Kintex-7 PCIe Card, and What Its Numbers Teach
openTPU is a complete Apache 2.0 LLM inference stack on a Kintex-7 PCIe card — SystemVerilog RTL, ISA, bit-exact simulator, and host tools — with self-reported decode numbers that put memory-bound inference on one line.
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Writing
AICR v1.0: NVIDIA Freezes the Contract for GPU Kubernetes Recipes
NVIDIA’s AICR v1.0.0 freezes the aicr CLI, aicrd REST API, Go SDK, and bundle schemas — a cluster configuration generator for GPU Kubernetes recipes, not a distribution or provisioner.
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Writing
Mistral Large 4: 1.05T Parameters, 49B Active, and What It Takes to Serve It
Mistral’s October 6 Large 4 is a 1.05T / 49B-active open-weight multimodal MoE with a 1M-token context — public-preview API today, weights and a custom license still October 27.
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Writing
Reflection’s Beam: A 501B Open-Weight MoE, and the GB300 Cluster Numbers Behind It
Reflection’s October 5 Beam is a 501B / 23B-active sparse MoE for coding, reasoning and agentic work — self-reported GB300 cluster numbers, with weights and the tech report still later this month.
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Writing
vLLM 0.31 Fast Restart: A GPU Weight-Cache Daemon and CRIU Engine Snapshots
vLLM v0.31.0 Fast restart: a GPU weight-cache daemon and experimental CRIU engine snapshots — project claims of minutes-to-seconds restarts, with an open fingerprint bug and Kubernetes caveats.
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Writing
TLX JFA: Meta’s Blackwell Attention Kernel — ~13% Fwd / ~50% Bwd vs FA4 on Jagged
Meta’s Oct 1 TLX Jagged Flash Attention is a Blackwell B200 kernel for packed jagged / broadcast-Q — Meta’s bf16 benches claim ~+13% forward / ~+50% backward vs May 2026 FA4 on their shapes, not an independent rematch.
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Writing
Dist-MoE: Meta’s Blackwell SM100 MoE Kernels — BF16 / MXFP8 Train, NVFP4 Infer
Meta’s Oct 3 dist-moe v0.1.0 is CuTe DSL distributed MoE kernels for Blackwell SM100 — BF16 / MXFP8 E4M3 train+infer, NVFP4 infer-only — Meta’s docs, not a published throughput rematch.
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Writing
Kolibri-1: 78.1B / 3.46B Open MoE — Hybrid SWA, 1M Context Claim, ~78 GB FP8
Aleph Alpha’s Oct 3 Kolibri-1 is a 78.1B / 3.46B open MoE with hybrid 4:1 SWA(512):full, native 256k validated to 1M, and ~78 GB FP8 — vendor benches and a named B200 train topology, not an independent rematch.
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Writing
Credo Weaver: HBM4-Class Edge Bandwidth at ~25× Capacity — OmniConnect VSR, No CoWoS
Credo’s Oct 2 OmniConnect / Weaver post claims HBM4-class die-edge bandwidth (6.4 vs 6.1 TB/s) at ~25× capacity (4.8 TB vs 192 GB) on organic, no CoWoS — vendor architecture claims, not an independent bring-up.
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Writing
Lightning V2 on Tenstorrent: 4× TTS Cost Cut vs L40S — BFP8, NoC, Perceptual Fragility
Tenstorrent and Smallest.ai put Lightning V2 on Blackhole — vendor L40S bake-off with ~3–4× modeled TTS CapEx, BFP8/LoFi co-design, and a paper on perceptual fragility — not a blanket NVIDIA cost claim.
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Writing
Olmo-core 3: Open MoE Training Stack Hits 1.2T on B300 — DDP, Rowwise EP, MXFP8
Ai2 released Olmo-core 3 — open DDP+EP+PP MoE trainer on NVIDIA B300 through 1.20T / 58.4B active, 19.4K → 52K tok/s/GPU at 47B vs the old FSDP path — systems measurements, not next-Olmo weights.
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Writing
Everspin Hooks PERSYST MRAM to CXL — 1GB Persistent Demo Tier Between DRAM and NAND
Everspin demonstrated CXL-connected PERSYST 1GB MRAM at SNIA SDC 2026 — memory-semantic persistence between DRAM and NAND, vendor 100× writes vs NAND, working demo not a shipping SKU.
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Writing
CoreWeave Puts Vera Rubin NVL72 Into Production With Cognition — 4.8× SWE-2 Tokens, Not Another Shipping BOM
CoreWeave puts NVIDIA Vera Rubin NVL72 into limited availability with Cognition as first production customer — 4.8× SWE-2 and 3.8× RL token throughput vs GB200 (customer claims) — neocloud production, not another shipping BOM.
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Writing
Claude Sonnet 5.5: Everyday Coding Ladder Beside Opus 5.5 — Cost Per Task, Not Another Flagship Rematch
Claude Sonnet 5.5: same $2/$10 list as Sonnet 5, vendor fewer-tokens plus 30%+ faster generation, near-Opus on several Max benches — everyday coding ladder beside live Opus 5.5, not another flagship rematch.
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Writing
Naive-N0.5-Flash: 309B / 15.5B MoE with Zero Full-Attention Layers — Native 1M via SWA+DSA
Naive-N0.5-Flash: open-weight 309B / 15.5B MoE with zero full-attention layers, native 1M via SWA+DSA, MIT, announced $0.10/$0.40/$0.01, NaiveRT peak you should re-time — decode-cost architecture, not an AA rematch.
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Writing
NVIDIA Open Agent Safety: OpenShell 0.1.0 + BlueField-4 Sentry — Runtime Policy, Milliseconds Quarantine
NVIDIA Open Agent Safety: Apache-2.0 OpenShell 0.1.0 plus optional BlueField-4 Sentry — YAML → OPA/Rego, OCSF, milliseconds quarantine as a vendor claim, no DPU required — runtime policy for agent fleets, not an AA rematch.
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Writing
JEV-27B: Open System 1 Decisions on a Frozen Qwen3.8-27B — KL 0.017, One B200
AutoTrust JEV-27B: open System 1 decisions on a frozen Qwen3.8-27B — KL ≈0.017, six-bench mean 84.07, 137 ms on one B200 — vendor self-comparison vs hosted TypeSafe Jev 1.13, not a third-party bake-off.
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Writing
Holo4: Computer-Use Agents With Named $/Task — 27B Dense, 35B-A3B MoE, Open Trajectories
H Company Holo4: 27B dense + 35B-A3B MoE computer-use VLMs with named OSWorld / AutomationBench $/task and open trajectories — no AA Index row, and a CC BY-NC vs Apache-2.0 license split you should write into the routing ticket.
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Writing
AliceAI-Foundation-80B: From-Scratch 3B Activate, KDA:GA 3:1 — and Two Open Russian Factual Benches
Yandex AliceAI-Foundation-80B-A3B-Base: from-scratch 80B/3B hybrid MoE, KDA:GA 3:1, Apache 2.0, WikiWebFacts / HardMultiQA — no AA Index row yet, and a base you still owe SFT/RL before you compare it to Flash/Pro chat endpoints.
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Writing
DeepSeek-V4.1-Flash: 890 Bytes of KV per Token — and Why V4-Pro Is Being Retired
DeepSeek-V4.1-Flash: 890 bytes KV/token, 8B prefill / 16B decode MoE, MIT weights, V4-Pro traffic steered to Flash rates — AA Index 39, with a Terminal-Bench 4.0 gap vs Opus/Sol on DeepSeek’s own table.
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Writing
MiMo-V2.6-Pro: Open Weights at AA 46 — and the Terminal-Bench 4.0 Asterisk
Xiaomi MiMo-V2.6-Pro / Flash: MIT open weights, AA Intelligence Index 46, $0.435/$0.87 list (Flash cheaper), same-day foil to Grok 4.7 — with a Terminal-Bench 4.0 gap vs Opus/Astra on Xiaomi’s own table.
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Writing
Lessengers’ 3.2T Glass NPO: TGVs, Lens-Free DOW, and the Millimeters-from-ASIC Bet
Lessengers’ 3.2T glass-substrate NPO: TGVs, lens-free DOW polymer waveguides, millimeters-from-ASIC placement, immersion-native claim, aimed at 51.2T/102.4T switch generations — vendor claims until your BER and yield tickets land.
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Writing
PicoJool’s 200G GaAs VCSEL: >37 GHz, Three Paths to 1.6T, and the Unconstrained-Supply Bet
PicoJool’s 200G GaAs VCSEL / microVCSEL bet: >37 GHz device claims, three 1.6T recipes, WIN foundry, Series A funding qualification → early-2027 volume — vendor claims until your BER tickets land.
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Writing
Supermicro Is Shipping Vera Rubin NVL72: 20.7 TB HBM4 and a Cold-Plate-to-Tower BOM You Can Order
Supermicro says Vera Rubin NVL72 racks are shipping now — 72 Rubin GPUs, 20.7 TB HBM4, and a cold-plate-to-tower DLC BOM you can order as a 16-rack Scalable Unit.
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Writing
EdgeCortix RAIDEN: 3.36 PFLOPS FP4 on Four Dies — Thick-Edge Physical AI as One Chiplet Stack
EdgeCortix RAIDEN claims up to 3.36 PFLOPS FP4, 256 GB, and 1.54 TB/s die-to-die on a four-die Physical AI chiplet stack shipping samples in early 2027.
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Writing
WhiteFiber Continuum: 136 Tbps Across 83 km — Scale-Across When One Campus Hits the Power Wall
WhiteFiber Continuum claims 136 Tbps / 0.9 ms RTT across 83 km of metro fiber so two campuses can act as one GPU supercluster when one site hits the power wall.
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Writing
Claude Opus 5.5: Fable-Class Work at Opus Prices — and the Safeguard Asterisk
Claude Opus 5.5 — Fable-class work at $4/$20, and the fallback-safeguard asterisk.
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Writing
GPT-6 Sol and Luna: Half the Price, Not Always a Higher Ceiling
GPT-6 Sol and Luna — half the GPT-5.6 promo price, cache-steerable effort, not always a higher ceiling.
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Writing
T-Head Zhenwu V900: 216 GB, 1,200 GB/s Chip-to-Chip, and a 500,000-Card Cluster Story
Zhenwu V900 — 216 GB, 1,200 GB/s chip-to-chip, and a 500,000-card cluster story.
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Writing
Axelera Europa: 629 TOPS at 45 W — Shipping Edge 232p Math With a Dell/Supermicro Asterisk
Europa 629 TOPS at 45 W — shipping Edge 232p math with a Dell/Supermicro asterisk.
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Writing
Lightbits Inferra: KV Cache Prefetch Beyond HBM — Named TTFT Tables on L40S Math
Inferra KV-cache prefetch beyond HBM — named TTFT tables on L40S math vs recompute.
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Writing
Astera Leo X: Fabric-Attached DDR for KV Cache — 62% Faster Warm TTFT on H200 Math
Leo X fabric-attached DDR for KV cache — 62% faster warm TTFT on H200 math vs CPU-DRAM offload.
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Writing
NewPhotonics NPG102 + Tower PH18DA: Laser-Integrated PICs Shipping for 800G–1.6T — and the CPX 6.4T On-Ramp
NPG102 + Tower PH18DA — laser-integrated PICs shipping for 800G–1.6T, plus the CPX 6.4T on-ramp.
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Writing
Cornelis Active Compute Fabric + Delos Nonstop AI: Open Scale-Up Math Beyond NVLink
Cornelis ACF + Delos Nonstop AI — 800G fabric sampling and >30 Tbps I/O dies beyond NVLink.
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Writing
AMD EPYC Venice vs Nvidia Vera: 2.24× SPECrate, 1.6 TB/s Stream — and the Compiler Asterisk
EPYC Venice vs Vera — 2.24× SPECrate and 1.6 TB/s Stream, plus the compiler asterisk.
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Writing
Meta MTIA 450 / Arke: 18.4 TB/s HBM, FlashAttention in Silicon — and the Sep 1 Bring-Up Asterisk
MTIA 450 / Arke — 18.4 TB/s HBM and FlashAttention in silicon, plus the Sep 1 bring-up asterisk.
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Writing
Lightmatter Passage L20 CPX: BiDi NPO That Halves the Fiber Plant — and the Open CPX On-Ramp
Passage L20 CPX — BiDi NPO that halves the 512-GPU fiber plant, plus the Open CPX MSA on-ramp.
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Writing
AMD’s 512-GPU MI355X MLPerf: 5.75M tok/s on RoCE — and the +38% ROCm Asterisk
512-GPU MI355X on RoCE — 5.75M tok/s, plus the +38% same-silicon ROCm asterisk.
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Writing
Vera Rubin NVL72’s First MLPerf: 3.7× GB300 on Qwen3-VL — and the AgentX Tokens-per-Megawatt Asterisk
First MLPerf Inference v6.1 preview — 3.7× GB300 on Qwen3-VL, plus the AgentX tok/MW asterisk.
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Writing
d-Matrix Raptor Joins NVLink Fusion: 100 TB/s Cards, NVL144 Math, and the Decode-Silicon Bet
Raptor on NVLink Fusion / MGX — 100 TB/s card math, NVL144 aggregates, and the decode bet next to LPX.
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Writing
Qualcomm × Amazon: Custom Inference Silicon, 1.6T Optics, and a Second ASIC Line Next to Trainium
Custom inference silicon and 1.6T optics for AWS — a second ASIC line next to Trainium.
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Writing
Release Workflow Policy Tests: Catch Signing Drift Before Release Day
Mutation-tested release-workflow policy — sole signer, OIDC scope, SHA pins, and asset-list drift.
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Writing
NVIDIA Groq 3 LPX: 3,431 tok/s at 100K — and the Batch-1 Caveat
3,431 tok/s at 100K on Gemma 4 31B — and the batch-1 concurrency caveat for agent fleets.
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Writing
AMD Helios UALoE: Open Scale-Up on Ethernet, With the Bridge Caveats
72× MI455X, UALink-over-Ethernet, and the open scale-up caveats next to NVLink Fusion.
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Writing
NVIDIA NVHBM: Moving the Memory Controller Into the Stack
Custom HBM base die for NVLink Fusion — bandwidth, power, and die-area targets, with the caveats.
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Writing
OpenAI Jalapeño: Spec Sheet, InferenceX Numbers, and the Tokens-per-Megawatt Bet
InferenceX tokens-per-megawatt numbers, HBM4 package math, and the captive ASIC caveats.
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Writing
AMD’s Threadripper Halo Station: Spec Sheet, HBM Math, and the DGX Station Bet It Is Making
MI350P HBM math, the path to four cards, and AMD’s deskside bet against coherent DGX Station.
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Writing
K2 Horizon Ships Six Open Models — and Publishes the Reward-Hack Audit on Its Own Terminal-Bench Score
Six Apache-2.0 models, MoVA, and a published Terminal-Bench reward-hack audit from IFM.
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Writing
GPT-6 Astra Is Live: Spec Sheet, Vendor Benches, and Where It Beats Fable on Cost-per-Task
Spec sheet, vendor benches, and where GPT-6 Astra beats Fable on cost-per-task.
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Writing
Claude Fable 5.1 Is the New Default for Agentic Coding Fleets: Here’s the Spec Sheet
Scores, cache pricing, and how I would route coding-agent traffic after Anthropic’s Fable 5.1 / Mythos 5.1 GA.
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Writing
A first look at NVIDIA Cluster Readiness Engine
What NVCRE v0.8.0 is, how certifications compose, and how to run your first category from the official docs.
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Repo
02
Experience
My background spans automotive, identity, security, communications, test infrastructure, and developer tooling. The thread is reliability: making complex systems easier to test, understand, and operate. On Design Technology I work on platforms that deliver advanced tooling to mechanical and electrical engineers designing Tesla products.
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Staff Software Engineer
Tesla · Design Technology
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Senior Software Engineer
Tesla
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Staff Software Engineer
Okta
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Senior Software Engineer in Test
Okta
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Staff Engineer → Senior Staff Engineer
Palo Alto Networks
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Intern → QA Engineer → Software Development Engineer in Test
8x8
03
Writing
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Humming Is Already in Your vLLM Install. Here's What the Quantized Kernel Numbers Actually Say.
On October 21, 2026, Ant Group and the vLLM community published Announcing Humming: Fast, Flexible Kernels for Quantized Inference.
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vLLM and SGLang Both Caught DeepInfer on DeepSeek-V4.1-Flash. Read the Setups Before the Headlines.
A few days after DeepSeek open-sourced DeepInfer, its own engine for DeepSeek-V4.1-Flash, both big general-purpose engines answered.
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Million-Token GLM-5.3 on 16 H200s: What PCP, DCP and HiSparse Actually Buy You
The vLLM team published GLM-5.3 Optimizations, Part 2 on October 23, 2026.
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llm-d 1.0 Upgrade Notes: Pinned Engines, a DisaggregatedSet Prerequisite, and Quiet Dashboard Breaks
The llm-d maintainers published llm-d v1.0 on October 20, 2026.
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MiniMax-M3.1-Flash on vLLM: What an NVFP4 KV Cache Changes for Capacity Planning
MiniMax put MiniMax-M3.1-Flash on Hugging Face on October 23, and the vLLM team published a day-0 support post the same day.
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Dynamo 1.6 Upgrade Notes: Renamed Workers, a Mandatory Queue, and the Known Issues That Matter
NVIDIA's distributed inference platform Dynamo v1.6.0 was published at 22:31 UTC on October 22, 2026, which was 3:31 PM PT.
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Raon-1 mini Preview: 8 KiB of KV per Token, and a Commit Log Worth Reading
KRAFTON released Raon-1 mini preview on October 21 under Apache 2.0.
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DeepSeek Open-Sourced DeepInfer. The Deployment Q&A Is the Part to Read.
DeepSeek put DeepInfer on GitHub this week under Apache 2.0.
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Reading Flint's Serving Kit Before the Benchmarks: A 40B MoE That Wants One Big GPU
Recursive released Flint today, an Apache 2.0 mixture-of-experts coding model with 39.8B total parameters and about 2.5B active per token.
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The Layer Your Autotuner Never Touches: Helion Now Searches ptxas Controls
Every kernel autotuner I've used searches the same kind of thing.
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TorchTPU Is Open Source: What Running PyTorch Natively on TPUs Actually Involves
This morning I wrote about TorchNeuron and noted that TorchTPU was only a conference session with a repo on the way.
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TorchNeuron Public Beta: What Changes When Trainium Becomes a Normal PyTorch Device
AWS opened up TorchNeuron today at PyTorch Conference North America in San Jose.
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Meta's Prometheus Numbers: What 64-of-72 Sparing and a 54K GPU-Hour MTBI Mean for NVL72 Operators
Meta published Inside Prometheus on October 19, 2026.
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vLLM 0.32 Upgrade Notes: The Defaults That Changed Under You
vLLM v0.32.0 was published at 06:50 UTC on October 18, 2026, which was 11:50 PM PT on October 17.
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SGLang 0.5.22 Upgrade Notes: Flags That Changed Meaning
SGLang v0.5.22 was published at 02:55 UTC on October 19, 2026, which was 7:55 PM PT on October 18.
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Dory1.0-4B: What a Looped 4B Model Actually Costs Per Token
NVIDIA put Nemotron-Labs Dory1.0-4B on Hugging Face on October 16 under the OpenMDW-1.1 license.
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Granite Switch 4.1: Three Models' Worth of Jobs on One KV Cache
IBM shipped Granite Switch 4.1 this week in 8B and 30B sizes, Apache 2.0.
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vLLM's Two New KV Transfer Modes, and Why You Pick One
Two posts on the vLLM blog this week change how KV cache moves between prefill and decode workers in a disaggregated deployment.
-
Ling-3.1-flash: What 63 Linear-Attention Layers Do to the KV Budget
inclusionAI, the Ant Group team behind the Ling, Ring and Ming model families, put the weights for Ling-3.1-flash on Hugging Face this week under the MIT license.
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Nemotron 3.5 Super VL and Bolt: Hybrid MoE Served From Rack to 24 GB
NVIDIA put Nemotron 3.5 Super VL and Bolt on Hugging Face on October 15, the same window RTX Spark PCs started shipping.
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Muse Spark Open: Latent MoE, Hybrid Attention, and a 1M Context That Actually Fits
Meta put the Muse Spark Open weights on Hugging Face today, October 15, the same day vLLM shipped day-0 support and NVIDIA published GB300 NVL72 serving numbers.
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Step 5 Preview Weights Are Out: 600B, 92 Layers, and a 74 GB Million-Token KV Cache
StepFun put the Step 5 Preview weights on Hugging Face last night, the same day SGLang published its day-0 support post.
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Intel GPU D270: 480 GB on a PCIe Card, and What That Memory Is Actually For
Intel used the OCP Global Summit this week to put final numbers and a name on Crescent Island.
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ReplaySSM: Hybrid Models Were Paying an HBM Tax on Every Token
A lot of the models people serve this year are hybrids.
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Gemini 4 Argon: One 1M-Token Budget, a Continuation Protocol, and a Scorecard That Doesn't Win Everywhere
Google shipped Gemini 4 Argon today, October 13, as the first model in the Gemini 4 family.
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Maia 300: Microsoft’s Inference ASIC Puts 288 GB of HBM4 and a 12,288-Chip Ethernet Superpod on the Table
Microsoft used the same stage to put numbers on Azure Maia 300, the third generation of its in-house inference accelerator and the first Maia built as a multi-chiplet part.
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OSPA: Meta, Microsoft and Alibaba Want Every AI Fabric Switch to Boot the Same Way
On October 8, OCP posted Open Switch Platform Architecture, a draft under OCP review initiated by Meta, Microsoft, and Alibaba: a vendor-neutral switch platform layer so AI fabric SKUs can boot, inventory, and flash the same way.
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Mellum2.1: A 12B MoE Coding Agent Model, and the GGUF Builds That Make It Runnable Tonight
On October 8, JetBrains released Mellum2.1, the post-trained successor to the Mellum2 Thinking checkpoint they open-sourced in June.
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Liquid Open d1: Zero Output Tokens, Named Jetson Latencies, and What a Decision Model Actually Is
On October 7, Liquid AI open-weighted two models in its d1 family: d1-3B and experimental d1-omni-600M.
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Vera Rubin Day Zero: What SGLang Changed in the Kernels, and What vLLM Measured on AgentX
On October 9, two open serving stacks published the first useful Vera Rubin numbers that are not a keynote slide.
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RTX Spark N1X: The Windows Numbers That Matter Are TDP, Memory Ceiling, and Prefill
On October 7, NVIDIA and Microsoft opened Windows pre-orders for RTX Spark laptops (availability October 16; compact desktops in November) and previewed DGX Station for Windows for Q4.
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Scality AI Inference Factory: Object Storage Over RDMA as the Shared KV Cache
Scality launched AI Inference Factory on October 8: an open-code stack for serving open-weight models on infrastructure you own, with Scality ADI as a shared key-value (KV) cache behind the GPUs.
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Upscale Token Fabric: SkyFabriX at 115.2 Tbps Meets Spectrum-X Scale-Out Under One OS
A day after Arista’s Etherlink SU-144, Upscale published Token Fabric: SkyFabriX at 115.2 Tbps, Spectrum-X scale-out, and one OS for both, with general availability aimed at early 2027.
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Claude Haiku 5.5: The Price Cut Is Real, but Read the 100K Tier, the Tokenizer, and the Output Bill
Anthropic released Claude Haiku 5.5 on October 7: the small model next to Sonnet 5.5 and Opus 5.5 for high-volume work, with a real price cut that still needs the 100K tier, the tokenizer, and the output bill read first.
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Arista Etherlink SU-144: Ethernet Moves Inside the Scale-Up Domain, and the Rack Becomes the Unit
Arista’s Etherlink SU-144 puts 144 accelerators in a single-hop Ethernet scale-up domain inside one rack, and up to 1,024 across racks, on OCP ESUN 1.0 — a partner-built reference design, not a SKU.
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openTPU: An Agent-Built LLM Accelerator on a Kintex-7 PCIe Card, and What Its Numbers Teach
openTPU is a complete Apache 2.0 LLM inference stack on a Kintex-7 PCIe card — SystemVerilog RTL, ISA, bit-exact simulator, and host tools — with self-reported decode numbers that put memory-bound inference on one line.
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AICR v1.0: NVIDIA Freezes the Contract for GPU Kubernetes Recipes
NVIDIA’s AICR v1.0.0 freezes the aicr CLI, aicrd REST API, Go SDK, and bundle schemas — a cluster configuration generator for GPU Kubernetes recipes, not a distribution or provisioner.
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Mistral Large 4: 1.05T Parameters, 49B Active, and What It Takes to Serve It
Mistral’s October 6 Large 4 is a 1.05T / 49B-active open-weight multimodal MoE with a 1M-token context — public-preview API today, weights and a custom license still October 27.
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Reflection’s Beam: A 501B Open-Weight MoE, and the GB300 Cluster Numbers Behind It
Reflection’s October 5 Beam is a 501B / 23B-active sparse MoE for coding, reasoning and agentic work — self-reported GB300 cluster numbers, with weights and the tech report still later this month.
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vLLM 0.31 Fast Restart: A GPU Weight-Cache Daemon and CRIU Engine Snapshots
vLLM v0.31.0 Fast restart: a GPU weight-cache daemon and experimental CRIU engine snapshots — project claims of minutes-to-seconds restarts, with an open fingerprint bug and Kubernetes caveats.
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TLX JFA: Meta’s Blackwell Attention Kernel — ~13% Fwd / ~50% Bwd vs FA4 on Jagged
Meta’s Oct 1 TLX Jagged Flash Attention is a Blackwell B200 kernel for packed jagged / broadcast-Q — Meta’s bf16 benches claim ~+13% forward / ~+50% backward vs May 2026 FA4 on their shapes, not an independent rematch.
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Dist-MoE: Meta’s Blackwell SM100 MoE Kernels — BF16 / MXFP8 Train, NVFP4 Infer
Meta’s Oct 3 dist-moe v0.1.0 is CuTe DSL distributed MoE kernels for Blackwell SM100 — BF16 / MXFP8 E4M3 train+infer, NVFP4 infer-only — Meta’s docs, not a published throughput rematch.
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Kolibri-1: 78.1B / 3.46B Open MoE — Hybrid SWA, 1M Context Claim, ~78 GB FP8
Aleph Alpha’s Oct 3 Kolibri-1 is a 78.1B / 3.46B open MoE with hybrid 4:1 SWA(512):full, native 256k validated to 1M, and ~78 GB FP8 — vendor benches and a named B200 train topology, not an independent rematch.
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Credo Weaver: HBM4-Class Edge Bandwidth at ~25× Capacity — OmniConnect VSR, No CoWoS
Credo’s Oct 2 OmniConnect / Weaver post claims HBM4-class die-edge bandwidth (6.4 vs 6.1 TB/s) at ~25× capacity (4.8 TB vs 192 GB) on organic, no CoWoS — vendor architecture claims, not an independent bring-up.
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Lightning V2 on Tenstorrent: 4× TTS Cost Cut vs L40S — BFP8, NoC, Perceptual Fragility
Tenstorrent and Smallest.ai put Lightning V2 on Blackhole — vendor L40S bake-off with ~3–4× modeled TTS CapEx, BFP8/LoFi co-design, and a paper on perceptual fragility — not a blanket NVIDIA cost claim.
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Olmo-core 3: Open MoE Training Stack Hits 1.2T on B300 — DDP, Rowwise EP, MXFP8
Ai2 released Olmo-core 3 — open DDP+EP+PP MoE trainer on NVIDIA B300 through 1.20T / 58.4B active, 19.4K → 52K tok/s/GPU at 47B vs the old FSDP path — systems measurements, not next-Olmo weights.
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Everspin Hooks PERSYST MRAM to CXL — 1GB Persistent Demo Tier Between DRAM and NAND
Everspin demonstrated CXL-connected PERSYST 1GB MRAM at SNIA SDC 2026 — memory-semantic persistence between DRAM and NAND, vendor 100× writes vs NAND, working demo not a shipping SKU.
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CoreWeave Puts Vera Rubin NVL72 Into Production With Cognition — 4.8× SWE-2 Tokens, Not Another Shipping BOM
CoreWeave puts NVIDIA Vera Rubin NVL72 into limited availability with Cognition as first production customer — 4.8× SWE-2 and 3.8× RL token throughput vs GB200 (customer claims) — neocloud production, not another shipping BOM.
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Claude Sonnet 5.5: Everyday Coding Ladder Beside Opus 5.5 — Cost Per Task, Not Another Flagship Rematch
Claude Sonnet 5.5: same $2/$10 list as Sonnet 5, vendor fewer-tokens plus 30%+ faster generation, near-Opus on several Max benches — everyday coding ladder beside live Opus 5.5, not another flagship rematch.
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Naive-N0.5-Flash: 309B / 15.5B MoE with Zero Full-Attention Layers — Native 1M via SWA+DSA
Naive-N0.5-Flash: open-weight 309B / 15.5B MoE with zero full-attention layers, native 1M via SWA+DSA, MIT, announced $0.10/$0.40/$0.01, NaiveRT peak you should re-time — decode-cost architecture, not an AA rematch.
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NVIDIA Open Agent Safety: OpenShell 0.1.0 + BlueField-4 Sentry — Runtime Policy, Milliseconds Quarantine
NVIDIA Open Agent Safety: Apache-2.0 OpenShell 0.1.0 plus optional BlueField-4 Sentry — YAML → OPA/Rego, OCSF, milliseconds quarantine as a vendor claim, no DPU required — runtime policy for agent fleets, not an AA rematch.
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JEV-27B: Open System 1 Decisions on a Frozen Qwen3.8-27B — KL 0.017, One B200
AutoTrust JEV-27B: open System 1 decisions on a frozen Qwen3.8-27B — KL ≈0.017, six-bench mean 84.07, 137 ms on one B200 — vendor self-comparison vs hosted TypeSafe Jev 1.13, not a third-party bake-off.
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Holo4: Computer-Use Agents With Named $/Task — 27B Dense, 35B-A3B MoE, Open Trajectories
H Company Holo4: 27B dense + 35B-A3B MoE computer-use VLMs with named OSWorld / AutomationBench $/task and open trajectories — no AA Index row, and a CC BY-NC vs Apache-2.0 license split you should write into the routing ticket.
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AliceAI-Foundation-80B: From-Scratch 3B Activate, KDA:GA 3:1 — and Two Open Russian Factual Benches
Yandex AliceAI-Foundation-80B-A3B-Base: from-scratch 80B/3B hybrid MoE, KDA:GA 3:1, Apache 2.0, WikiWebFacts / HardMultiQA — no AA Index row yet, and a base you still owe SFT/RL before you compare it to Flash/Pro chat endpoints.
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DeepSeek-V4.1-Flash: 890 Bytes of KV per Token — and Why V4-Pro Is Being Retired
DeepSeek-V4.1-Flash: 890 bytes KV/token, 8B prefill / 16B decode MoE, MIT weights, V4-Pro traffic steered to Flash rates — AA Index 39, with a Terminal-Bench 4.0 gap vs Opus/Sol on DeepSeek’s own table.
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MiMo-V2.6-Pro: Open Weights at AA 46 — and the Terminal-Bench 4.0 Asterisk
Xiaomi MiMo-V2.6-Pro / Flash: MIT open weights, AA Intelligence Index 46, $0.435/$0.87 list (Flash cheaper), same-day foil to Grok 4.7 — with a Terminal-Bench 4.0 gap vs Opus/Astra on Xiaomi’s own table.
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Lessengers’ 3.2T Glass NPO: TGVs, Lens-Free DOW, and the Millimeters-from-ASIC Bet
Lessengers’ 3.2T glass-substrate NPO: TGVs, lens-free DOW polymer waveguides, millimeters-from-ASIC placement, immersion-native claim, aimed at 51.2T/102.4T switch generations — vendor claims until your BER and yield tickets land.
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PicoJool’s 200G GaAs VCSEL: >37 GHz, Three Paths to 1.6T, and the Unconstrained-Supply Bet
PicoJool’s 200G GaAs VCSEL / microVCSEL bet: >37 GHz device claims, three 1.6T recipes, WIN foundry, Series A funding qualification → early-2027 volume — vendor claims until your BER tickets land.
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Supermicro Is Shipping Vera Rubin NVL72: 20.7 TB HBM4 and a Cold-Plate-to-Tower BOM You Can Order
Supermicro says Vera Rubin NVL72 racks are shipping now — 72 Rubin GPUs, 20.7 TB HBM4, and a cold-plate-to-tower DLC BOM you can order as a 16-rack Scalable Unit.
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EdgeCortix RAIDEN: 3.36 PFLOPS FP4 on Four Dies — Thick-Edge Physical AI as One Chiplet Stack
EdgeCortix RAIDEN claims up to 3.36 PFLOPS FP4, 256 GB, and 1.54 TB/s die-to-die on a four-die Physical AI chiplet stack shipping samples in early 2027.
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WhiteFiber Continuum: 136 Tbps Across 83 km — Scale-Across When One Campus Hits the Power Wall
WhiteFiber Continuum claims 136 Tbps / 0.9 ms RTT across 83 km of metro fiber so two campuses can act as one GPU supercluster when one site hits the power wall.
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Claude Opus 5.5: Fable-Class Work at Opus Prices — and the Safeguard Asterisk
Claude Opus 5.5 — Fable-class work at $4/$20, and the fallback-safeguard asterisk.
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GPT-6 Sol and Luna: Half the Price, Not Always a Higher Ceiling
GPT-6 Sol and Luna — half the GPT-5.6 promo price, cache-steerable effort, not always a higher ceiling.
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T-Head Zhenwu V900: 216 GB, 1,200 GB/s Chip-to-Chip, and a 500,000-Card Cluster Story
Zhenwu V900 — 216 GB, 1,200 GB/s chip-to-chip, and a 500,000-card cluster story.
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Axelera Europa: 629 TOPS at 45 W — Shipping Edge 232p Math With a Dell/Supermicro Asterisk
Europa 629 TOPS at 45 W — shipping Edge 232p math with a Dell/Supermicro asterisk.
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Lightbits Inferra: KV Cache Prefetch Beyond HBM — Named TTFT Tables on L40S Math
Inferra KV-cache prefetch beyond HBM — named TTFT tables on L40S math vs recompute.
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Astera Leo X: Fabric-Attached DDR for KV Cache — 62% Faster Warm TTFT on H200 Math
Leo X fabric-attached DDR for KV cache — 62% faster warm TTFT on H200 math vs CPU-DRAM offload.
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NewPhotonics NPG102 + Tower PH18DA: Laser-Integrated PICs Shipping for 800G–1.6T — and the CPX 6.4T On-Ramp
NPG102 + Tower PH18DA — laser-integrated PICs shipping for 800G–1.6T, plus the CPX 6.4T on-ramp.
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Cornelis Active Compute Fabric + Delos Nonstop AI: Open Scale-Up Math Beyond NVLink
Cornelis ACF + Delos Nonstop AI — 800G fabric sampling and >30 Tbps I/O dies beyond NVLink.
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AMD EPYC Venice vs Nvidia Vera: 2.24× SPECrate, 1.6 TB/s Stream — and the Compiler Asterisk
EPYC Venice vs Vera — 2.24× SPECrate and 1.6 TB/s Stream, plus the compiler asterisk.
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Meta MTIA 450 / Arke: 18.4 TB/s HBM, FlashAttention in Silicon — and the Sep 1 Bring-Up Asterisk
MTIA 450 / Arke — 18.4 TB/s HBM and FlashAttention in silicon, plus the Sep 1 bring-up asterisk.
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Lightmatter Passage L20 CPX: BiDi NPO That Halves the Fiber Plant — and the Open CPX On-Ramp
Passage L20 CPX — BiDi NPO that halves the 512-GPU fiber plant, plus the Open CPX MSA on-ramp.
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AMD’s 512-GPU MI355X MLPerf: 5.75M tok/s on RoCE — and the +38% ROCm Asterisk
512-GPU MI355X on RoCE — 5.75M tok/s, plus the +38% same-silicon ROCm asterisk.
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Vera Rubin NVL72’s First MLPerf: 3.7× GB300 on Qwen3-VL — and the AgentX Tokens-per-Megawatt Asterisk
Vera Rubin NVL72’s first MLPerf numbers, and why AgentX tok/MW is a separate column.
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d-Matrix Raptor Joins NVLink Fusion: 100 TB/s Cards, NVL144 Math, and the Decode-Silicon Bet
d-Matrix Raptor joins NVLink Fusion: decode silicon on the same MGX rack family as Vera Rubin.
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Qualcomm × Amazon: Custom Inference Silicon, 1.6T Optics, and a Second ASIC Line Next to Trainium
Qualcomm × Amazon: inference ASIC + 1.6T optics, with the merchant-roadmap caveats.
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Release Workflow Policy Tests: Catch Signing Drift Before Release Day
Catch signing drift in CI before release day — policy tests for attested binary pipelines.
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NVIDIA Groq 3 LPX: 3,431 tok/s at 100K — and the Batch-1 Caveat
NVIDIA Groq 3 LPX: long-context interactivity numbers, with the concurrency ceiling.
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AMD Helios UALoE: Open Scale-Up on Ethernet, With the Bridge Caveats
AMD Helios UALoE: open scale-up on Ethernet, with the bridge caveats.
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NVIDIA NVHBM: Moving the Memory Controller Into the Stack
NVIDIA NVHBM: moving the memory controller into the HBM stack for Fusion partners.
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OpenAI Jalapeño: Spec Sheet, InferenceX Numbers, and the Tokens-per-Megawatt Bet
OpenAI Jalapeño at Hot Chips: InferenceX STP vs Blackwell, and the tokens-per-megawatt bet.
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AMD’s Threadripper Halo Station: Spec Sheet, HBM Math, and the DGX Station Bet It Is Making
AMD Threadripper Halo Station: HBM capacity, discrete PCIe vs coherent DGX Station.
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K2 Horizon Ships Six Open Models — and Publishes the Reward-Hack Audit on Its Own Terminal-Bench Score
IFM’s K2 Horizon open fleet: sizes, MoVA, and the Terminal-Bench contamination delta.
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GPT-6 Astra Is Live: Spec Sheet, Vendor Benches, and Where It Beats Fable on Cost-per-Task
OpenAI’s GPT-6 Astra launch: benches, cache math, and how I would route it against Fable 5.1.
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Claude Fable 5.1 Is the New Default for Agentic Coding Fleets: Here’s the Spec Sheet
A practitioner reading of Fable 5.1: Terminal-Bench numbers, cache-read pricing, and a migration plan.
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A first look at NVIDIA Cluster Readiness Engine
A practitioner reading of NVCRE v0.8.0 from the official docs: catalog, APIs, and first certification.
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