Skip to content

[Klaud Cold] Update dsr1-fp4-b200-sglang SGLang image to v0.5.19-cu130 / 将 dsr1-fp4-b200-sglang 的 SGLang 镜像更新至 v0.5.19-cu130 #2989

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Klaud-Cold wants to merge 2 commits into
base: main
Choose a base branch
from
+8 −1
Open

[Klaud Cold] Update dsr1-fp4-b200-sglang SGLang image to v0.5.19-cu130 / 将 dsr1-fp4-b200-sglang 的 SGLang 镜像更新至 v0.5.19-cu130 #2989

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f35d7be
config: update dsr1-fp4-b200-sglang SGLang image to v0.5.19-cu130
Klaud-Cold Sep 11, 2026
25f8f98
changelog: record dsr1-fp4-b200-sglang image update to v0.5.19-cu130
Klaud-Cold Sep 11, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion configs/nvidia-master.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -860,7 +860,7 @@ dsr1-fp8-b300-dynamo-trt:
ep: 8
dp-attn: true
dsr1-fp4-b200-sglang:
image: lmsysorg/sglang:v0.5.16-cu130
image: lmsysorg/sglang:v0.5.19-cu130
model: nvidia/DeepSeek-R1-0528-FP4-V2
model-prefix: dsr1
runner: cluster:b200-nscale
Expand Down
7 changes: 7 additions & 0 deletions perf-changelog.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7162,3 +7162,10 @@
description:
- "Use the pinned SGLang nightly-dev-cu13-20260901-07c8f729 image with FlashInfer 0.6.18, which includes the BF16 TRTLLM MoE allocation fix for small-batch Blackwell execution. Model, TP8, HiCache, MTP settings and concurrency grid are unchanged."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2829

- config-keys:
- dsr1-fp4-b200-sglang
description:
- "Update SGLang image from lmsysorg/sglang:v0.5.16-cu130 (build commit sgl-project/sglang@fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1, CUDA 13.0.1, FlashInfer 0.6.14, sgl-kernel 0.4.5) to the v0.5.19 release image lmsysorg/sglang:v0.5.19-cu130 (digest sha256:d6e7288627be8b02be88e4bba38e73f6d50e2826869f753c13a4c4385ab3eda9, build commit sgl-project/sglang@0bcd822377da7b5718e674eaf9c870d349424dd1, CUDA 13.0.3, FlashInfer 0.6.18, sgl-kernel 0.4.6.post1)."
- "benchmarks/single_node/fixed_seq_len/dsr1_fp4_b200.sh is unchanged: nvidia/DeepSeek-R1-0528-FP4-V2 with modelopt_fp4, trtllm_mla attention, flashinfer_trtllm MoE, fp8_e4m3 KV cache, TP4/EP1 concurrency 1-32 and TP4/EP4 DP-attention concurrency 64-256 on the 8k1k workload."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2989
Loading