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vLLM reports B300 DEP8 MTP3 validation and sparse prefill latency gains

2 articles1 sourcesince Oct 14Last article 1h ago ·

Overview

AISummary of 2 articles

vLLM reports that its sparse prefill path on B300 DEP8 now runs the indexer logits kernel 43% faster and the top-k kernel 84% faster, cutting overall prefill latency by 2.2%.

The measurements use MTP3, FP8 KV, a 60K-token input and the MegaMoE path, and the change also removes 7 runtime JIT warmups and caps chunks at 4,096 tokens.

In a separate post, vLLM says MTP3 scored 0.9667 on AIME25 against a 0.9500 baseline, while GPQA came in at 0.9242 versus 0.9268 and OCRBench at 0.895 versus 0.896. vLLM says two validation rounds on the tested build recorded zero request errors, and that final-release validation is not yet complete.

Written by AI from the articles below · updated Oct 14, 11:29 PM ET

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Developments

2 developments

  1. Oct 14, 11:26 PM ET · 1 article
    vLLM reports MTP3 validation results against baseline on B300 DEP8
    vLLM: vLLM reports MTP3 benchmark results on B300 DEP8 hardware
  2. Oct 14, 11:26 PM ET · 1 article
    vLLM cuts sparse prefill latency with indexer and top-k kernel optimizations
    vLLM: vLLM cuts sparse prefill indexer and top-k kernel latency on B300

Article timeline

The articles in this story. Times are ET.

Oct 14
  1. vLLMOfficial
    vLLM reports MTP3 benchmark results on B300 DEP8 hardware

    AIvLLM says MTP3 scored 0.9667 on AIME25, up from the 0.9500 baseline, with GPQA at 0.9242 versus 0.9268 and OCRBench at 0.895 versus 0.896. The post reports two validation rounds with zero request errors on the tested build, and states that final-release validation is not yet complete.

    Image from @vllm_project's post
  2. vLLMOfficial
    vLLM cuts sparse prefill indexer and top-k kernel latency on B300

    AIvLLM reports that its sparse prefill path now runs its indexer logits kernel 43% faster and its top-k kernel 84% faster, cutting overall prefill latency by 2.2%. The measurements come from B300 DEP8 runs with MTP3, FP8 KV, a 60K-token input and the MegaMoE path. The change also removes 7 runtime JIT warmups and caps chunks at 4,096 tokens.

    Image from @vllm_project's post

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