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[Klaud Cold] Update minimaxm3-fp8-h200-vllm-agentic-mtp vLLM image to v0.29.0 (digest-pinned) / 将 minimaxm3-fp8-h200-vllm-agentic-mtp 的 vLLM 镜像更新至 v0.29.0（按摘要固定） #2953

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[Klaud Cold] Update minimaxm3-fp8-h200-vllm-agentic-mtp vLLM image to v0.29.0 (digest-pinned) / 将 minimaxm3-fp8-h200-vllm-agentic-mtp 的 vLLM 镜像更新至 v0.29.0（按摘要固定） #2953

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937d423
perf(minimaxm3): pin H200 vLLM AgentX MTP image to v0.29.0
Klaud-Cold Sep 10, 2026
7568b8f
docs(changelog): record minimaxm3 H200 vLLM v0.29.0 image refresh
Klaud-Cold Sep 10, 2026
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2 changes: 1 addition & 1 deletion configs/nvidia-master.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -7649,7 +7649,7 @@ minimaxm3-fp8-h100-vllm-agentic-mtp:
- { tp: 8, spec-decoding: mtp, kv-offloading: dram, kv-offload-backend: { name: mooncake, version: "0.3.11.post1" }, conc-list: [6, 8] }

minimaxm3-fp8-h200-vllm-agentic-mtp:
image: vllm/vllm-openai:nightly-d9105ea8001e0a6d77a96327d17515bb5791fb36
image: vllm/vllm-openai:v0.29.0@sha256:c2914767605584b6d8f45686b82de173ecc99e781897aa3d0a66dacd72c51ae1
model: MiniMaxAI/MiniMax-M3-MXFP8
model-prefix: minimaxm3
runner: cluster:h200-dgxc
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6 changes: 6 additions & 0 deletions perf-changelog.yaml
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Expand Up @@ -7021,3 +7021,9 @@
- "Refresh the full GB200 Dynamo-vLLM AgentX configuration across the configured aggregate and disaggregated topology points."
- "Retain aggregate SimpleCPU-offload concurrency 20 and 30, and configure Mooncake host KV storage, NIXL over UCX, explicit thinking mode, and the committed MiniMax-M3 EAGLE3-GQA acceptance target."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2807

- config-keys:
- minimaxm3-fp8-h200-vllm-agentic-mtp
description:
- "Update vLLM image from vllm/vllm-openai:nightly-d9105ea8001e0a6d77a96327d17515bb5791fb36 (2026-09-07 upstream nightly, tag commit vllm-project/vllm@d9105ea8) to vllm/vllm-openai:v0.29.0 pinned by manifest digest sha256:c2914767605584b6d8f45686b82de173ecc99e781897aa3d0a66dacd72c51ae1 (vLLM release v0.29.0, tag commit vllm-project/vllm@98dff2a8, Docker Hub tag pushed 2026-09-09T06:06Z, CUDA 13.0 build). benchmarks/single_node/agentic/minimaxm3_fp8_h200_mtp.sh is unchanged: TRITON_ATTN attention, fp8 KV, EAGLE3 with the Inferact MiniMax-M3 EAGLE3-GQA draft and the committed golden synthetic acceptance length 2.78, Mooncake 0.3.11.post1 DRAM offload on the host-tier arm; the resident TP8 c1/c2/c4/c6/c8/c10 and Mooncake DRAM offload c12/c14 grid is unchanged."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2953
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