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2 changes: 1 addition & 1 deletion inferencex-e2e/configs/amd-master.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -988,7 +988,7 @@ qwen3.5-fp8-mi325x-sglang-mtp:
# DeepSeek-V4-Pro-0813 FP4 AgentX on one MI355X node using vLLM DSpark K6.
# Keep the historical config key for changelog compatibility.
dsv4-fp4-mi355x-vllm-agentic-mtp:
image: vllm/vllm-openai-rocm:nightly-e9757321527ca1ecd514c07c1418dd2c53da3d19
image: vllm/vllm-openai-rocm:nightly-5d35ce3934a7804b298559d2d99eec33792e1eb9@sha256:0c030ba9e2e5fd2f45f2a048a1c8bb239d9674b63297166b79e258b4ce65c6cc
model: deepseek-ai/DeepSeek-V4-Pro-0813
model-prefix: dsv4
runner: cluster:mi355x-amds
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8 changes: 8 additions & 0 deletions inferencex-e2e/perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -11413,3 +11413,11 @@
- Restore the MI355X MiniMax-M3 FP4 vLLM AgentX TP2/TP4 grid from run 34609443618 attempt 2 using SRT recipes. Update nightly-2a02f6efe319c885e3ccbcecde402e0028f9ec1e to nightly-df6603f0583375f244d1ac6d36265462b7490392 (2026-10-22, digest sha256:81899892d73777a4ae81e16f39e749169687f29249505eb4c56da83bd097d41c).
- Enable upstream MiniMax-M3 monokernel at TP4 with Model Runner V2, AITER MoE, FP8 KV/indexer and block size 128; keep TP2 on ordinary decode. Preserve EAGLE3-GQA with three draft tokens and use automatic golden acceptance for throughput with real verification for evals.
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4418

- config-keys:
- dsv4-fp4-mi355x-vllm-agentic-mtp
scenario-type:
- agentic-coding
description:
- Update the vLLM ROCm image from nightly-e9757321 to nightly-5d35ce39, pinned by digest.
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4578
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