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Update glm5-fp8-b300-sglang and -mtp SGLang image to v0.5.12-cu130 #1421

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Merged
functionstackx merged 4 commits into from
May 18, 2026
+20 −4
Merged

Update glm5-fp8-b300-sglang and -mtp SGLang image to v0.5.12-cu130 #1421

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db458da
Update glm5-fp8-b300-sglang and glm5-fp8-b300-sglang-mtp SGLang image…
github-actions[bot] May 17, 2026
9c0438f
Merge remote-tracking branch 'origin/main' into HEAD
May 17, 2026
1d3503e
fix(glm5-fp8-b300): disable JIT DeepGemm to bypass sglang v0.5.12 B30…
May 18, 2026
3c17700
Merge branch 'main' into claude/issue-1154-glm5-fp8-b300-sglang
functionstackx May 18, 2026
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4 changes: 2 additions & 2 deletions .github/configs/nvidia-master.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -2250,7 +2250,7 @@ glm5-fp8-b200-sglang-agentic:
- { tp: 8, ep: 1, offloading: none, conc-list: [1, 2, 4, 8, 16, 32, 64, 128] }

glm5-fp8-b300-sglang:
image: lmsysorg/sglang:v0.5.11-cu130
image: lmsysorg/sglang:v0.5.12-cu130
model: zai-org/GLM-5-FP8
model-prefix: glm5
runner: b300
Expand All @@ -2269,7 +2269,7 @@ glm5-fp8-b300-sglang:
- { tp: 8, ep: 1, conc-start: 4, conc-end: 256 }

glm5-fp8-b300-sglang-mtp:
image: lmsysorg/sglang:v0.5.11-cu130
image: lmsysorg/sglang:v0.5.12-cu130
model: zai-org/GLM-5-FP8
model-prefix: glm5
runner: b300
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6 changes: 5 additions & 1 deletion benchmarks/single_node/glm5_fp8_b300.sh
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Expand Up @@ -25,7 +25,11 @@ if [[ "$MODEL" != /* ]]; then hf download "$MODEL"; fi

pip install --no-deps "transformers==5.2.0" "huggingface-hub==1.4.1"

export SGL_ENABLE_JIT_DEEPGEMM=1
# Workaround for sgl-project/sglang#25551: v0.5.12 DeepGemm TMA-descriptor
# regression on B300 (sm_120) crashes CUDA graph capture with
# CUDA_ERROR_ILLEGAL_ADDRESS. Disabling JIT DeepGemm bypasses the affected
# kernel path. Restore to =1 once the upstream regression is fixed.
export SGL_ENABLE_JIT_DEEPGEMM=0

SERVER_LOG=/workspace/server.log
PORT=${PORT:-8888}
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6 changes: 5 additions & 1 deletion benchmarks/single_node/glm5_fp8_b300_mtp.sh
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Expand Up @@ -25,7 +25,11 @@ if [[ "$MODEL" != /* ]]; then hf download "$MODEL"; fi

pip install --no-deps "transformers==5.2.0" "huggingface-hub==1.4.1"

export SGL_ENABLE_JIT_DEEPGEMM=1
# Workaround for sgl-project/sglang#25551: v0.5.12 DeepGemm TMA-descriptor
# regression on B300 (sm_120) crashes CUDA graph capture with
# CUDA_ERROR_ILLEGAL_ADDRESS. Disabling JIT DeepGemm bypasses the affected
# kernel path. Restore to =1 once the upstream regression is fixed.
export SGL_ENABLE_JIT_DEEPGEMM=0
export SGLANG_ENABLE_SPEC_V2=1

SERVER_LOG=/workspace/server.log
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8 changes: 8 additions & 0 deletions perf-changelog.yaml
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Expand Up @@ -2747,3 +2747,11 @@
description:
- "Update SGLang image from v0.5.9-rocm700-mi30x to v0.5.12-rocm700-mi30x"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1425

- config-keys:
- glm5-fp8-b300-sglang
- glm5-fp8-b300-sglang-mtp
description:
- "Update SGLang image from v0.5.11-cu130 to v0.5.12-cu130"
- "Disable JIT DeepGemm (SGL_ENABLE_JIT_DEEPGEMM=0) to bypass v0.5.12 DeepGemm TMA-descriptor regression on B300 — see sgl-project/sglang#25551"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1421
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