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[Klaud Cold] Update qwen3.8next-fp8-h100-sglang-agentic-mtp SGLang image to dev-cu13-qwen38-next-local (2026-09-07, digest-pinned) #2876

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[Klaud Cold] Update qwen3.8next-fp8-h100-sglang-agentic-mtp SGLang image to dev-cu13-qwen38-next-local (2026-09-07, digest-pinned) #2876

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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 @@ -7461,7 +7461,7 @@ qwen3.5-fp8-h100-sglang-agentic-mtp:
# the smaller part: TP8/EP8 rather than the cookbook's TP4/EP4, since 172.8 GiB
# at TP4 leaves too little of an 80 GB card for the 256k-capped traces.
qwen3.8next-fp8-h100-sglang-agentic-mtp:
image: lmsysorg/sglang:qwen38flashnext
image: lmsysorg/sglang:dev-cu13-qwen38-next-local@sha256:9d2a843c706c74bc259c0d9abf360551eb2734e1e7d255ab012a6965f10480b6
model: Qwen/Qwen3.8-Flash-Next-FP8
model-prefix: qwen3.8next
runner: cluster:h100-dgxc
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8 changes: 8 additions & 0 deletions perf-changelog.yaml
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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:
- qwen3.8next-fp8-h100-sglang-agentic-mtp
scenario-type:
- agentic-coding
description:
- "Move the image from the mutable model-branch tag lmsysorg/sglang:qwen38flashnext (last re-pushed 2026-09-03T20:54:46Z, digest sha256:5ae5816783d58e2e56e84d2e863f5441425056f500b7fbd7448c4aae017a2521) to the newest Qwen3.8-Flash-Next model-branch build, lmsysorg/sglang:dev-cu13-qwen38-next-local@sha256:9d2a843c706c74bc259c0d9abf360551eb2734e1e7d255ab012a6965f10480b6 (Docker Hub last pushed 2026-09-07T11:12:42Z), pinned by digest so every node runs the same build. Qwen3.8-Flash-Next (architecture Qwen4ExpForConditionalGeneration) is not in SGLang main, v0.5.19, or the 2026-09-07 nightly (nightly-dev-cu13-20260907-30705c00), so no upstream nightly can serve it; the model-branch dev images are the only lineage. benchmarks/single_node/agentic/qwen3.8next_fp8_h100_mtp.sh is unchanged: TP8/EP8, mem-fraction 0.75, flashinfer attention (sm_90), native NEXTN MTP at three speculative tokens, float32 Mamba SSM state, golden thinking_on acceptance length 2.32; the conc [1, 4, 8, 12, 16] grid is unchanged. The sweep is the validation that this branch build still carries the fixes the recipe relies on."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2876
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