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glm5.1-fp4-mi355x-sglang: bump image to v0.5.13.post1-20260622 + enable aiter allreduce fusion#1905

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glm5.1-fp4-mi355x-image-bump-arfusion
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glm5.1-fp4-mi355x-sglang: bump image to v0.5.13.post1-20260622 + enable aiter allreduce fusion#1905
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glm5.1-fp4-mi355x-image-bump-arfusion

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@jiacao-amd

@jiacao-amd jiacao-amd commented Jun 23, 2026

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What

  • Bump glm5.1-fp4-mi355x-sglang image v0.5.12.post1-20260529 -> v0.5.13.post1-20260622.
  • Add --enable-aiter-allreduce-fusion to the GLM5.1 fp4 mi355x launch script.

Why

  • The 20260622 image (aiter dev240) is faster at decode.
  • --enable-aiter-allreduce-fusion fuses TP all-reduce + RMSNorm (atom-style local_device_load_rmsnorm).

Validation

Trigger CI (incl. GSM8K eval) on this PR:

/sweep test-config --config-files .github/configs/amd-master.yaml --config-keys glm5.1-fp4-mi355x-sglang

…le aiter allreduce fusion

- Bump sglang image v0.5.12.post1-20260529 -> v0.5.13.post1-20260622: the older
  image's aiter (dev98) does not tolerate the host ROCm 7.1.1 x container 7.2.0
  mismatch on MI355X and produces garbled output; the newer aiter (dev240) does.
  The newer build is also faster at decode.
- Add --enable-aiter-allreduce-fusion: fuse TP all-reduce + RMSNorm (atom-style
  local_device_load_rmsnorm). Marginal perf; gated by CI GSM8K eval.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Thanks for the contribution! For vLLM & SGLang, please ensure that your recipes is similar to the official vLLM recipes and/or the SGLang cookbook

If it is not, please create a PR first before we can merge your single node PR into the master branch. Let's ensure that the documentation is first class such that the entire ML community can benefit from your hard work! Thank you

PR authors are responsible for ensuring that after merging, all GitHub Action jobs fully pass. A lot of the time, failures are just flakes and simply re-running the failed jobs will fix it. If re-running failed jobs is attempted, PR authors are responsible for ensuring it passes. See GitHub's docs on re-running failed jobs: https://docs.github.com/en/actions/how-tos/manage-workflow-runs/re-run-workflows-and-jobs#re-running-failed-jobs-in-a-workflow

As a rule of thumb, generally, PR authors should request a review & get a PR approval from the respective companies' CODEOWNERS before requesting a review from core maintainers.

If additional help is needed, PR authors can reach out to core maintainers over Slack.


感谢你的贡献!对于 vLLM 与 SGLang,请确保你的 recipe 与官方 vLLM recipes 和/或 SGLang cookbook 保持一致

如果不一致,请先创建一个 PR,之后我们才能将你的单节点 PR 合并到 master 分支。让我们确保文档保持一流水准,使整个 ML 社区都能从你的辛勤工作中受益!谢谢

PR 作者有责任确保合并后所有 GitHub Action 任务完全通过。 很多时候失败只是偶发抖动(flake),重新运行失败的任务即可解决。如果选择重新运行失败的任务,PR 作者有责任确保其最终通过。参见 GitHub 关于重新运行失败任务的文档:https://docs.github.com/en/actions/how-tos/manage-workflow-runs/re-run-workflows-and-jobs#re-running-failed-jobs-in-a-workflow

一般而言,PR 作者应先向相应公司的 CODEOWNERS 请求审阅并获得 PR 批准,然后再请求核心维护者审阅。

如需更多帮助,PR 作者可通过 Slack 联系核心维护者。

@jiacao-amd

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/sweep test-config --config-files .github/configs/amd-master.yaml --config-keys glm5.1-fp4-mi355x-sglang

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@jiacao-amd Kicking off a sweep.

Run: https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28049943426
Command: test-config --config-files .github/configs/amd-master.yaml --config-keys glm5.1-fp4-mi355x-sglang
Pinned ref: 65a9952
Approval: not required (trusted collaborator).

@jiacao-amd

jiacao-amd commented Jun 23, 2026

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Perf: image bump (v0.5.12→v0.5.13) + --enable-aiter-allreduce-fusion

GLM-5.1-MXFP4, MI355X. Old = run 26694739752 (v0.5.12.post1-20260529, no AR fusion). New = run 28049943426 (v0.5.13.post1-20260622 + AR fusion). Same 20 configs; tput/gpu = total tok/s per GPU, intvty = per-user decode speed (tok/s/user).

1k / 1k

tp conc tput/gpu old→new Δ tput intvty old→new Δ intvty
2 4 186→201 +7.8% 48.3→53.3 +10.2%
2 8 312→346 +10.9% 40.3→44.8 +11.0%
2 16 498→539 +8.0% 32.0→34.6 +8.1%
2 32 760→818 +7.6% 24.6→26.5 +7.6%
2 64 1134→1195 +5.4% 18.3→19.3 +5.4%
2 128 1630→1712 +5.0% 13.2→13.8 +5.1%
2 256 2077→2285 +10.0% 8.4→9.2 +10.1%
4 4 109→122 +11.4% 56.7→63.2 +11.5%
4 8 195→215 +10.2% 50.5→55.7 +10.4%
4 16 332→349 +4.9% 42.6→44.7 +4.9%

8k / 1k

tp conc tput/gpu old→new Δ tput intvty old→new Δ intvty
2 4 705→764 +8.5% 41.7→45.5 +9.0%
2 8 1121→1219 +8.7% 33.3→36.3 +9.0%
2 16 1619→1727 +6.7% 23.9→25.5 +6.7%
2 32 2213→2362 +6.7% 16.4→17.5 +6.8%
2 64 2878→3050 +6.0% 10.5→11.1 +6.0%
2 128 3187→3384 +6.2% 8.1→8.6 +6.1%
2 256 3034→3397 +12.0% 7.5→8.5 +12.3%
4 4 423→464 +9.8% 49.8→54.7 +9.9%
4 8 656→781 +19.2% 38.7→46.2 +19.2%
4 16 1082→1169 +8.0% 31.9→34.4 +7.8%

Average throughput/GPU gain: +8.1% (1k/1k), +9.2% (8k/1k) — consistent +5–19% across all concurrencies. (Most of the gain is the newer aiter in v0.5.13; AR fusion contributes marginally.)

@jiacao-amd

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/sweep test-config --config-files .github/configs/amd-master.yaml --config-keys glm5.1-fp4-mi355x-sglang

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@jiacao-amd Kicking off a sweep.

Run: https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28058547561
Command: test-config --config-files .github/configs/amd-master.yaml --config-keys glm5.1-fp4-mi355x-sglang
Pinned ref: f492841
Approval: not required (trusted collaborator).

@functionstackx

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@jiacao-amd use the pr label of "full-sweep-enabled" instead of /sweep plz and then ping an AMD CODEOWNER for inital review https://github.com/SemiAnalysisAI/InferenceX/blob/main/docs/PR_REVIEW_CHECKLIST.md

@jiacao-amd

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@jiacao-amd use the pr label of "full-sweep-enabled" instead of /sweep plz and then ping an AMD CODEOWNER for inital review https://github.com/SemiAnalysisAI/InferenceX/blob/main/docs/PR_REVIEW_CHECKLIST.md

done

@jiacao-amd jiacao-amd force-pushed the glm5.1-fp4-mi355x-image-bump-arfusion branch from f492841 to 65a9952 Compare June 23, 2026 22:52
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