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Insights on AI inference benchmarking, GPU performance, and ML infrastructure.

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Allamdannouncementb200b300benchmarkcanndeepseekdisaggdynamofp4gb200gb300glm5gpuh100h200huaweiinferencekimimi355xminimaxnvfp4nvidianvl72qwenrocmrubinsglangtrtllmvllmwide-ep
July 23, 2026·20 min read

Vera Rubin NVL72 vs GB200 NVL72? Inference TCO & Architecture Analysis

Rubin LUT Based Tensor Core, Feynman, Rack Scale, Perf Per MegaWatt, Perf Per Dollar, Software Improvements, Public Rubin Software, PyTorch, vLLM, OpenAI Triton

benchmarkgpuinferencenvidiarubingb200gb300deepseektrtllmdynamo
June 9, 2026·29 min read

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time — Huawei, GB300 NVL72, MI355X, B200

Day 0 Inference Performance, InferenceX, 100x performance improvement in 26 Days, Cost per Million Tokens, Huawei 950DT Inference Trace Analysis

benchmarkgpuinferencedeepseeknvidiaamdhuaweigb300b300b200mi355xh200sglangvllmtrtllmcann
May 23, 2026·10 min read

GB200 NVL72 vs B200 on DeepSeek R1 670B: Up to 4.4x Throughput per GPU at 125 tok/s/user

DeepSeek R1 FP4 1k/1k. NVL72's 72-GPU NVLink scale-up fabric lets decode run wide EP up to EP=32, where B200's 8-GPU NVLink island caps out at EP=8 over RoCEv2

benchmarkgpuinferencedeepseeknvidiagb200b200nvl72trtllmdynamowide-epdisagg
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