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[MiniMax-M3] Retune decode indexer launch grid for occupancy - #49229

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kyleliang-nv:agent/minimax-m3-decode-indexer-grid
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kyleliang-nv wants to merge 1 commit into
vllm-project:mainfrom
kyleliang-nv:agent/minimax-m3-decode-indexer-grid

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@kyleliang-nv kyleliang-nv commented Jul 20, 2026

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Purpose

Cherry-pick public vLLM commit 8b00f41 to retune the MiniMax-M3 decode indexer launch grids:

  • TARGET_GRID: 512 → 4096
  • TOPK_TARGET_GRID: 64 → 512

While testing MiniMax-M3 on B300-agg with TP4 at concurrency 24 using a large agentic benchmark client, I observed total throughput improve from 26.5K to 38.2K TPS/GPU (+44%) and mean ITL improve from 38.2 ms to 26.0 ms (-32%). The larger grids expose more parallel work for the decode indexer on high-SM-count GPUs.

Duplicate check: searches for open PRs mentioning the MiniMax-M3 decode indexer, TARGET_GRID, or MiniMax occupancy found no matching change. The referenced commit is not in upstream main at the time of opening.

AI assistance disclosure: OpenAI Codex assisted with the cherry-pick, duplicate checks, validation command, and PR description.

Test Plan

  • Run the repository pre-commit hooks on the changed file.
  • Compare B300-agg TP4 concurrency-24 performance before and after the change with the same benchmark setup.

Test Result

  • .venv/bin/pre-commit run --files vllm/models/minimax_m3/common/ops/index_topk.py: passed.
  • B300-agg TP4, concurrency 24: 26.5K → 38.2K TPS/GPU (+44%); mean ITL 38.2 ms → 26.0 ms (-32%).

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…oject#130)

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
(cherry picked from commit 8b00f41)
Assisted-by: OpenAI Codex
@kyleliang-nv
kyleliang-nv force-pushed the agent/minimax-m3-decode-indexer-grid branch from d4d3f05 to 0966040 Compare July 20, 2026 17:06
@mergify mergify Bot added the minimax label Aug 19, 2026
venkywonka added a commit to venkywonka/vllm that referenced this pull request Sep 10, 2026
Cap score chunks by the existing page bound without discarding useful
parallelism. Bound partial top-k chunks by twice the padded selection
width so short contexts avoid excessive partial results and merge work.
Keep the existing occupancy targets and graph-safe shape inputs.

Extend decode correctness coverage to 9- and 65-page bounds, including
padded and speculative query layouts. This is a measured follow-up to
the owner grid policy in PR vllm-project#49229; its author's branch is unchanged.

Co-authored-by: OpenAI Codex (gpt-6-astra, xhigh) <noreply@openai.com>
Signed-off-by: venkywonka <23023424+venkywonka@users.noreply.github.com>
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