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2 changes: 1 addition & 1 deletion configs/nvidia-master.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -1216,7 +1216,7 @@ qwen3.5-fp8-b200-sglang:
- { tp: 4, ep: 1, conc-start: 4, conc-end: 256 }

qwen3.5-fp8-b200-sglang-agentic-mtp:
image: lmsysorg/sglang:v0.5.16-cu130
image: lmsysorg/sglang:nightly-dev-cu13-20260907-30705c00
model: Qwen/Qwen3.5-397B-A17B-FP8
model-prefix: qwen3.5
runner: cluster:b200-nscale
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8 changes: 8 additions & 0 deletions perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -6921,3 +6921,11 @@
- "Pick up the latest automatic ROCm DeepSeek-V4 optimizations, including fused mHC post/pre plus RMSNorm, gfx950 C4A top-k dispatch, fused C4 compressor GEMMs, fused SWA q/kv RMSNorm plus q FP8 quantization, and medium-batch cooperative top-k tuning."
- "Keep the existing VLLM_ROCM_USE_AITER=1, VLLM_ROCM_USE_AITER_MOE=1, and --moe-backend aiter settings, and explicitly add VLLM_ROCM_USE_AITER_FUSION_SHARED_EXPERTS=1 plus VLLM_ROCM_QUICK_REDUCE_QUANTIZATION=INT4 to both STP and MTP paths. The current checkpoint's shared-expert path does not satisfy the latest vLLM fusion conditions, so that fusion flag self-disables while preserving recipe parity."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2792

- config-keys:
- qwen3.5-fp8-b200-sglang-agentic-mtp
scenario-type:
- agentic-coding
description:
- "Update SGLang image from lmsysorg/sglang:v0.5.16-cu130 (v0.5.16 release, cu130) to lmsysorg/sglang:nightly-dev-cu13-20260907-30705c00 (2026-09-07 cu13 dev nightly, digest sha256:19b8fa1223cc339c1eae7a5b703f1a8c2543b5b119155bf3d7efaef18f77f007, tag commit sgl-project/sglang@30705c00). Docker Hub last pushed the tag at 2026-09-07T01:43:42Z. Engine flags, NEXTN MTP settings, golden acceptance length 3.39, and the TP4/TP8 concurrency and HiCache grids are unchanged."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2861
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