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[Klaud Cold] minimaxm3-fp8-mi325x-vllm-agentic-mtp: MiniMax-M3 MI325X AgentX EAGLE3 recipe with golden-AL synthetic acceptance / MiniMax-M3 MI325X AgentX EAGLE3 配方(黄金 AL 合成接受) - #2426

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[Klaud Cold] minimaxm3-fp8-mi325x-vllm-agentic-mtp: MiniMax-M3 MI325X AgentX EAGLE3 recipe with golden-AL synthetic acceptance / MiniMax-M3 MI325X AgentX EAGLE3 配方(黄金 AL 合成接受)#2426
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Summary

Adds minimaxm3-fp8-mi325x-vllm-agentic-mtp — the EAGLE3 speculative-decoding (spec-decoding: mtp) variant of the MiniMax-M3 MXFP8 MI325X (gfx942) AgentX recipe. One new benchmark script, one master-config entry, one changelog entry; launch_mi325x-amds.sh already composes agentic/ + _mtp, so no launcher change.

Speculative configmethod: eagle3 on Inferact/MiniMax-M3-EAGLE3, num_speculative_tokens: 3. No drafter attention_backend override, unlike the CUDA recipes: the FlashInfer "page size 128 requires GQA/MQA" limitation that forces FLASH_ATTN for the MHA EAGLE3 head is FlashInfer-specific, and this server runs TRITON_ATTN throughout — the same reasoning fixed_seq_len/minimaxm3_fp8_mi325x_mtp.sh documents.

Synthetic forced AL — throughput runs set rejection_sample_method: synthetic with synthetic_acceptance_length: 2.83, the committed golden AL for MiniMax-M3 EAGLE3 at K=3, thinking_on (golden_al_distribution/minimaxm3_eagle3.yaml), per the AgentX policy in golden_al_distribution/README.md. The minimaxm3_eagle3_gqa.yaml curve belongs to the Inferact/MiniMax-M3-EAGLE3-GQA draft (run 29784780049) and is not mixed in. EVAL_ONLY runs drop synthetic acceptance and keep real target verification.

No in-place SupportsEagle3 patch. vllm/vllm-openai-rocm:nightly-04c2a8deac44fdb1ca3e2b5ec3e6bf16f3f6a914 is built from upstream 2026-06-23, after vllm-project/vllm#45546 (EAGLE3 on the AMD MiniMax-M3 model) merged on 2026-06-14. Only the older vllm-openai-rocm:minimax-m3 bring-up image still needs the runtime patch that the fixed-seq-len MI325X recipe carries.

Serve shape is otherwise identical to the non-MTP agentic sibling (Mooncake host-DRAM KV offload over TCP with the HIP-built transfer engine, --block-size 128, --language-model-only, --kv-cache-dtype fp8, --attention-backend TRITON_ATTN, gmu 0.90 (the 0.98 TP4 bump dropped), minimax_m3 parsers, VLLM_USE_BREAKABLE_CUDAGRAPH=0, max-num-seqs 2*CONC). Cudagraph capture stays at the sibling default rather than being raised to MAX_NUM_SEQS*(1+3) tokens as on the CUDA agentic MTP recipes, matching the already-merged ROCm MiniMax-M3 MTP recipes.

Search space is TP4, TP4/EP4, TP8, TP8/EP8 and TP8/DEP8, GPU-resident only on the AgentX MTP concurrency grid: [1, 4, 8, 12, 16] (DEP/dp-attn [8, 12, 16]). Every step is at least 2 concurrency apart and every arm stops hard at conc 16. The non-MTP entry's three Mooncake host-DRAM arms are dropped — Mooncake is not used on AMD (see the revision note below). 23 generated jobs.

Validation: bash -n clean; both YAMLs parse; generate_sweep_configs.py test-config emits 23 agentic-coding configs with spec-decoding: mtp on cluster:mi325x-amds.

中文说明

新增 minimaxm3-fp8-mi325x-vllm-agentic-mtp:MiniMax-M3 MXFP8 MI325X(gfx942)AgentX(智能体编码)配方的 EAGLE3 投机解码(spec-decoding: mtp)变体。包含一个新脚本、一条 master 配置条目与一条 changelog 条目;launch_mi325x-amds.sh 已能拼出 agentic/ + _mtp 路径,启动器无需改动。

投机解码配置method: eagle3,草稿头 Inferact/MiniMax-M3-EAGLE3num_speculative_tokens: 3。与 CUDA 配方不同,drafter 无需固定注意力后端:迫使 CUDA 侧为 MHA EAGLE3 头指定 FLASH_ATTN 的「page size 128 需要 GQA/MQA」限制是 FlashInfer 特有的,而这里服务端整体运行 TRITON_ATTN(与 fixed_seq_len/minimaxm3_fp8_mi325x_mtp.sh 的说明一致)。

合成强制 AL:吞吐量测试设置 rejection_sample_method: syntheticsynthetic_acceptance_length: 2.83,即 MiniMax-M3 EAGLE3 在 K=3、thinking_on 下已提交的黄金 AL(golden_al_distribution/minimaxm3_eagle3.yaml),遵循 golden_al_distribution/README.md 的 AgentX 规则。minimaxm3_eagle3_gqa.yaml 属于 Inferact/MiniMax-M3-EAGLE3-GQA 草稿头(run 29784780049),两条曲线不混用。EVAL_ONLY 关闭合成接受、保留真实验证。

无需运行时 SupportsEagle3 补丁vllm/vllm-openai-rocm:nightly-04c2a8deac44fdb1ca3e2b5ec3e6bf16f3f6a914 基于上游 2026-06-23 的提交,晚于 2026-06-14 合入的 vllm-project/vllm#45546。只有较旧的 vllm-openai-rocm:minimax-m3 镜像仍需该补丁。

服务参数与非 MTP 版本一致(基于 HIP 构建的 Mooncake TCP 主机 DRAM KV 卸载、--block-size 128--language-model-only--kv-cache-dtype fp8--attention-backend TRITON_ATTN、gmu 0.90(不再对 TP4 提升至 0.98)、minimax_m3 解析器、VLLM_USE_BREAKABLE_CUDAGRAPH=0max-num-seqs 2*CONC)。cudagraph 捕获上限保持与非 MTP 版本相同,未像 CUDA 侧那样提高到 MAX_NUM_SEQS*(1+3) token,这与已合并的 ROCm MiniMax-M3 MTP 配方一致。

搜索空间为仅 GPU 常驻的 TP4、TP4/EP4、TP8、TP8/EP8 与 TP8/DEP8,采用 AgentX MTP 并发网格 [1, 4, 8, 12, 16](DEP/dp-attn 为 [8, 12, 16])。相邻并发间隔至少为 2,且一律止于并发 16。非 MTP 条目中的 Mooncake 主机 DRAM 分支已全部删除 —— AMD 上不使用 Mooncake(见下方修订说明)。共生成 23 个作业。

验证bash -n 通过;两个 YAML 均可解析;generate_sweep_configs.py test-config 生成 23 条 cluster:mi325x-amds 上的 agentic-coding 配置。

🤖 Generated with Claude Code


Revision (post-first-sweep)

  1. --gpu-memory-utilization 0.90. The first agentic job on [Klaud Cold] minimaxm3-fp8-h100-vllm-agentic-mtp: MiniMax-M3 H100 AgentX EAGLE3 recipe with golden-AL synthetic acceptance / MiniMax-M3 H100 AgentX EAGLE3 配方(黄金 AL 合成接受) #2423 (TP8/EP8 c9, run 30515793863) died mid-warmup: all 8 ranks raised torch.OutOfMemoryError 96 MiB short, killing the engine core (EngineDeadError) and tripping AIPerf's terminal warmup failure. The recipe had inherited the non-MTP agentic sibling's gmu, which has no draft head to house; the proven MTP sibling on each of these SKUs runs 0.90 (explicit on H100/H200, vLLM's default on the ROCm ones). Applied to all four MiniMax PRs.
  2. Concurrency grid. Steps of at least 2 and a hard stop at conc 16, replacing the dense integer sampling copied from the STP siblings.

中文:(1) --gpu-memory-utilization 改为 0.90 —— #2423 的首个智能体作业(TP8/EP8 c9,run 30515793863)在预热阶段 8 个 rank 全部 OOM(仅差 96 MiB),导致 engine core 崩溃并触发 AIPerf 终止性预热失败;此前沿用了非 MTP 版本的取值,而该版本无需为草稿头预留显存,各 SKU 上已验证的 MTP 配置均为 0.90。四个 MiniMax PR 均已修正。(2) 并发网格:相邻间隔至少为 2,且一律止于 16。

Revision 2 — no Mooncake on AMD

The MI300X dram-offload job (TP8 mtp mooncake c8, run 30517360090) failed. The HIP-built Mooncake transfer engine runs over TCP on these clusters and the store collapses mid-replay, repeating ServerSession::readBody failed ... Connection reset by peer until AIPerf aborts. Per maintainer direction, Mooncake is not used on AMD: all host-DRAM arms are removed from this recipe along with the in-script Mooncake build/launch plumbing, and the script now hard-fails if a dram row is ever pointed at it rather than silently serving GPU-resident under a dram label. The Qwen3.5 AMD AgentX PRs are unaffected — they use SGLang HiCache, not Mooncake.

中文:MI300X 的 dram 卸载作业(TP8 mtp mooncake c8,run 30517360090)失败 —— 基于 HIP 构建的 Mooncake 传输引擎在这些集群上走 TCP,运行中 store 会崩溃,持续输出 ServerSession::readBody failed ... Connection reset by peer 直至 AIPerf 中止。按维护者要求,AMD 上不使用 Mooncake:本配方删除全部主机 DRAM 分支及脚本内的 Mooncake 构建/启动逻辑;若仍传入 dram 配置将直接报错退出,而不会在 dram 标签下静默执行 GPU 常驻测试。Qwen3.5 的 AMD AgentX PR 不受影响 —— 它们使用的是 SGLang HiCache,而非 Mooncake。

…den-AL synthetic acceptance

Add minimaxm3-fp8-mi325x-vllm-agentic-mtp, the spec-decoding=mtp variant of the
MiniMax-M3 MXFP8 MI325X agentic-coding recipe: Inferact/MiniMax-M3-EAGLE3 draft
head, 3 speculative tokens, no drafter backend pin (server-wide TRITON_ATTN),
and synthetic acceptance pinned to the committed golden AL 2.83
(minimaxm3_eagle3.yaml, thinking_on, K=3). EVAL_ONLY keeps real verification.
The pinned ROCm nightly postdates vllm-project/vllm#45546, so no in-place
SupportsEagle3 patch is needed.

中文:新增 minimaxm3-fp8-mi325x-vllm-agentic-mtp,即 MiniMax-M3 MXFP8 MI325X 智能体
编码配方的投机解码(spec-decoding=mtp)变体:Inferact/MiniMax-M3-EAGLE3 草稿头、
3 个投机 token;服务端整体使用 TRITON_ATTN,drafter 无需固定注意力后端;合成接受
长度固定为黄金 AL 2.83(minimaxm3_eagle3.yaml,thinking_on,K=3)。EVAL_ONLY 保留
真实验证。所选 ROCm nightly 镜像晚于 vllm-project/vllm#45546,无需运行时补丁。

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
中文:补充 perf-changelog 中 #2426 的 pr-link。

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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LGTM — mechanical addition of a new AgentX EAGLE3/MTP recipe variant following the repo's established pattern for sibling MI300X/MI355X MiniMax-M3 MTP recipes.

Extended reasoning...

Overview

Adds minimaxm3-fp8-mi325x-vllm-agentic-mtp: one new benchmark shell script (minimaxm3_fp8_mi325x_mtp.sh), one master-config entry in configs/amd-master.yaml, and one perf-changelog.yaml entry. No launcher or shared library changes. The new script is a near-verbatim copy of the already-merged non-MTP sibling (minimaxm3_fp8_mi325x.sh), with the only functional delta being the --speculative-config block (EAGLE3 draft head, 3 speculative tokens, synthetic-AL pinning for throughput runs, real verification for EVAL_ONLY).

Security risks

None. This is CI/benchmark infrastructure — a shell script that downloads public HF models, builds/caches Mooncake from a pinned upstream tag, and launches vLLM with fixed flags. No user-facing surface, no secrets, no auth/crypto changes.

Level of scrutiny

Low-to-moderate is appropriate. This is a config/benchmark-recipe addition, not production-critical code, and it follows an extremely well-established pattern already present dozens of times in amd-master.yaml (including near-identical MI300X/MI355X MiniMax-M3 EAGLE3/MTP variants). I spot-checked the specific factual claims in the PR description against the repo: golden_al_distribution/minimaxm3_eagle3.yaml does contain thinking_on: {3: 2.83}, matching the pinned synthetic_acceptance_length, and the new script's non-speculative serve flags are identical to the existing minimaxm3_fp8_mi325x.sh sibling.

Other factors

No bugs were reported by the automated bug-hunting pass, and I found no additional correctness issues in my own read of the diff. The search-space trimming and job-count math in the description are internally consistent with the YAML search-space entries. This is a config-only addition with no shared-code blast radius, so I'm comfortable approving without further human review.

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Draft-head note for reviewers. This recipe uses Inferact/MiniMax-M3-EAGLE3 with golden AL 2.83 (minimaxm3_eagle3.yaml, thinking_on, K=3), matching the fixed-seq-len MTP sibling on this same SKU.

Worth knowing: #2337 (merged 2026-07-29) moved B200/B300 fp8 to the Inferact/MiniMax-M3-EAGLE3-GQA head, with the drafter backend going TRITON_ATTN → FLASH_ATTN and K kept at 3. The Hopper and gfx942 fixed-seq-len MTP recipes were not part of that swap and still run the non-GQA head, so this PR follows them — draft and curve stay matched, which is the part that matters for the AgentX contract. If you want the Hopper/ROCm SKUs to follow Blackwell onto the GQA head, it is a two-line change here: the draft id, and AL 2.83 → 2.78 (minimaxm3_eagle3_gqa.yaml, thinking_on, K=3). Say the word and I will make that swap before the sweep spends much more GPU time.

中文:本配方使用 Inferact/MiniMax-M3-EAGLE3 草稿头,黄金 AL 为 2.83minimaxm3_eagle3.yaml,thinking_on,K=3),与同 SKU 的固定序列长度 MTP 配方保持一致。

需要说明的是:#2337(2026-07-29 合并)已将 B200/B300 fp8 切换到 Inferact/MiniMax-M3-EAGLE3-GQA 草稿头,drafter 注意力后端由 TRITON_ATTN 改为 FLASH_ATTN,K 仍为 3。Hopper 与 gfx942 的固定序列长度 MTP 配方未包含在该次切换中,仍使用非 GQA 草稿头,因此本 PR 与之保持一致 —— 关键在于草稿头与 AL 曲线相互匹配,这正是 AgentX 规则所要求的。若希望 Hopper/ROCm SKU 也跟随 Blackwell 切到 GQA 草稿头,只需改两处:草稿头 ID,以及 AL 2.83 → 2.78(minimaxm3_eagle3_gqa.yaml,thinking_on,K=3)。如需切换请告知,我会在扫描消耗更多 GPU 前完成。

…c grid steps >=2, stops at 16

Two corrections:
- gpu-memory-utilization 0.90 (was 0.95, and 0.98 at TP4). The H100 twin died
  mid-warmup with torch.OutOfMemoryError on all 8 ranks (run 30515793863) at the
  non-MTP sibling's value; fixed_seq_len/minimaxm3_fp8_mi325x_mtp.sh passes no
  gmu flag at all, i.e. vLLM's 0.90 default.
- Concurrency grid: GPU-resident [1,4,8,12,16], Mooncake [4,8,12,16], DEP
  [8,12,16]. Every step is >=2 and every arm stops hard at 16; 74 jobs -> 34.

中文:两处修正:(1) gpu-memory-utilization 改为 0.90(原为 0.95,TP4 为 0.98)——
本配方的 H100 版本在非 MTP 取值下于预热阶段 8 个 rank 全部 OOM(run 30515793863),
而 fixed_seq_len/minimaxm3_fp8_mi325x_mtp.sh 未设置该参数(即 vLLM 默认 0.90)。
(2) 并发网格:GPU 常驻 [1,4,8,12,16]、Mooncake [4,8,12,16]、DEP [8,12,16];相邻
并发间隔至少为 2,且一律止于 16,作业数由 74 降至 34。

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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functionstackx and others added 2 commits July 30, 2026 02:03
…on AMD

Mooncake is not used on AMD. The HIP-built transfer engine runs over TCP on
these clusters and the store collapses mid-replay ("ServerSession::readBody
failed ... Connection reset by peer" until AIPerf aborts), as the MI300X sibling
hit in run 30517360090.

Remove all three host-DRAM arms and the in-script Mooncake build/launch
plumbing. The recipe is GPU-resident only (TP4, TP4/EP4, TP8, TP8/EP8, TP8/DEP8;
34 jobs -> 23) and hard-fails if a dram row is ever pointed at it.

中文:AMD 上不再使用 Mooncake —— 基于 HIP 构建的传输引擎在这些集群上走 TCP,运行中
store 会崩溃(持续输出 "ServerSession::readBody failed ... Connection reset by peer"
直至 AIPerf 中止),MI300X 版本已在 run 30517360090 中复现。删除全部三条主机 DRAM
分支及脚本内的 Mooncake 构建/启动逻辑,改为仅 GPU 常驻(TP4、TP4/EP4、TP8、TP8/EP8、
TP8/DEP8,作业数由 34 降至 23);若仍传入 dram 配置将直接报错退出。

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
…325x-agentic-mtp

# Conflicts:
#	perf-changelog.yaml
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