Skip to content
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

[ci][fix] typo fix #11245

Closed
wants to merge 1 commit into from
Closed

[ci][fix] typo fix #11245

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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 .buildkite/run-gh200-test.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ set -ex
# Try building the docker image
DOCKER_BUILDKIT=1 docker build . \
--target test \
-platform "linux/arm64" \
--platform "linux/arm64" \
-t gh200-test \
--build-arg max_jobs=66 \
--build-arg nvcc_threads=2 \
Expand Down
5 changes: 1 addition & 4 deletions docs/source/serving/deploying_with_docker.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -54,16 +54,13 @@ of PyTorch Nightly and should be considered **experimental**. Using the flag `--
# Example of building on Nvidia GH200 server. (Memory usage: ~12GB, Build time: ~1475s / ~25 min, Image size: 7.26GB)
$ DOCKER_BUILDKIT=1 sudo docker build . \
--target vllm-openai \
-platform "linux/arm64" \
--platform "linux/arm64" \
-t vllm/vllm-gh200-openai:latest \
--build-arg max_jobs=66 \
--build-arg nvcc_threads=2 \
--build-arg torch_cuda_arch_list="9.0+PTX" \
--build-arg vllm_fa_cmake_gpu_arches="90-real"




To run vLLM:

.. code-block:: console
Expand Down
Loading