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Show how to use cu13 image with B300 (#17170)

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Signed-off-by: vincentzed <207368749+vincentzed@users.noreply.github.com>
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Yi Zhong
2026-01-15 15:25:20 -05:00
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@@ -21,6 +21,10 @@ For example, on GB200, you will need to do the following. Otherwise, it will ins
uv pip install "sglang" --extra-index-url https://download.pytorch.org/whl/cu129 uv pip install "sglang" --extra-index-url https://download.pytorch.org/whl/cu129
``` ```
On B300 (SM103), we recommend using the image at lmsysorg/sglang:dev-cu13.
Please, do not re-install the project as editable inside the docker image, since it will override the version of
libraries specified by the cu13 docker image.
**Quick fixes to common problems** **Quick fixes to common problems**
- If you encounter `OSError: CUDA_HOME environment variable is not set`. Please set it to your CUDA install root with either of the following solutions: - If you encounter `OSError: CUDA_HOME environment variable is not set`. Please set it to your CUDA install root with either of the following solutions: