A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 11, 08:45 UTC
[docker] Allow kv_connectors install to fail on arm64 (#30806)
Signed-off-by: Amr Mahdi <amrmahdi@meta.com>
Amr Mahdi committed
Dec 17, 2025 at 02:41 UTC
c0a88df7f771a48247a934e8821e6e230b3fc5a4
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docker/Dockerfile
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@@ -621,7 +621,7 @@ ENV UV_HTTP_TIMEOUT=500
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=requirements/kv_connectors.txt,target=/tmp/kv_connectors.txt,ro \
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if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then \
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- uv pip install --system -r /tmp/kv_connectors.txt; \
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+ uv pip install --system -r /tmp/kv_connectors.txt || true; \
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fi
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ENV VLLM_USAGE_SOURCE production-docker-image