Some optimizations
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18
Dockerfile
18
Dockerfile
@@ -223,7 +223,8 @@ RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# Copy artifacts from Builder Stage
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COPY --from=builder /workspace/wheels /workspace/wheels
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install /workspace/wheels/*.whl
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uv pip install /workspace/wheels/*.whl && \
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rm -rf /workspace/wheels
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# Setup Env for Runtime
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ENV TORCH_CUDA_ARCH_LIST=12.1a
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@@ -239,3 +240,18 @@ RUN chmod +x $VLLM_BASE_DIR/run-cluster-node.sh
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# Final extra deps
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install ray[default] fastsafetensors "apache-tvm-ffi<0.2"
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# Cleanup
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# RUN uv pip uninstall absl-py apex argon2-cffi \
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# argon2-cffi-bindings arrow asttokens astunparse async-lru audioread babel beautifulsoup4 \
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# black bleach comm contourpy cycler datasets debugpy decorator defusedxml dllist dm-tree \
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# execnet executing expecttest fastjsonschema fonttools fqdn gast hypothesis \
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# ipykernel ipython ipython_pygments_lexers isoduration isort jedi joblib jupyter-events \
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# jupyter-lsp jupyter_client jupyter_core jupyter_server jupyter_server_terminals jupyterlab \
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# jupyterlab_code_formatter jupyterlab_code_formatter jupyterlab_pygments jupyterlab_server \
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# jupyterlab_tensorboard_pro jupytext kiwisolver matplotlib matplotlib-inline matplotlib-inline \
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# mistune ml_dtypes mock nbclient nbconvert nbformat nest-asyncio notebook notebook_shim \
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# opt_einsum optree outlines_core overrides pandas pandocfilters parso pexpect polygraphy pooch \
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# pyarrow pycocotools pytest-flakefinder pytest-rerunfailures pytest-shard pytest-xdist \
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# scikit-learn scipy Send2Trash soundfile soupsieve soxr spin stack-data \
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# wcwidth webcolors xdoctest Werkzeug
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@@ -258,7 +258,8 @@ RUN mkdir -p tiktoken_encodings && \
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# No need to copy source code, as it's already in the site-packages
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COPY --from=builder /workspace/wheels /workspace/wheels
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install /workspace/wheels/*.whl
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uv pip install /workspace/wheels/*.whl && \
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rm -rf /workspace/wheels
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# Setup Env for Runtime
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ENV TORCH_CUDA_ARCH_LIST="12.0;12.1"
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@@ -274,3 +275,4 @@ RUN chmod +x $VLLM_BASE_DIR/run-cluster-node.sh
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# Final extra deps
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install ray[default] fastsafetensors
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@@ -1,6 +1,9 @@
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# syntax=docker/dockerfile:1.6
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FROM nvcr.io/nvidia/pytorch:26.01-py3
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# =========================================================
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# STAGE 1: Base Image (Installs Dependencies)
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# =========================================================
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FROM nvcr.io/nvidia/pytorch:26.01-py3 AS base
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PIP_BREAK_SYSTEM_PACKAGES=1
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@@ -42,7 +45,7 @@ COPY fastsafetensors.patch .
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# Install fastsafetensors
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install -U fastsafetensors
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uv pip install -U fastsafetensors ray[default] "apache-tvm-ffi<0.2"
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# --- VLLM SOURCE CACHE BUSTER ---
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# Change THIS argument to force a fresh git clone and rebuild of vLLM
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@@ -92,7 +95,17 @@ ENV TIKTOKEN_ENCODINGS_BASE=$VLLM_BASE_DIR/tiktoken_encodings
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COPY run-cluster-node.sh $VLLM_BASE_DIR/
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RUN chmod +x $VLLM_BASE_DIR/run-cluster-node.sh
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# Final extra deps
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install ray[default] fastsafetensors "apache-tvm-ffi<0.2"
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# Cleanup unneeded packages to reduce image size
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# RUN uv pip uninstall absl-py apex argon2-cffi \
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# argon2-cffi-bindings arrow asttokens astunparse async-lru audioread babel beautifulsoup4 \
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# black bleach comm contourpy cycler datasets debugpy decorator defusedxml dllist dm-tree \
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# execnet executing expecttest fastjsonschema fonttools fqdn gast hypothesis \
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# ipykernel ipython ipython_pygments_lexers isoduration isort jedi joblib jupyter-events \
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# jupyter-lsp jupyter_client jupyter_core jupyter_server jupyter_server_terminals jupyterlab \
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# jupyterlab_code_formatter jupyterlab_code_formatter jupyterlab_pygments jupyterlab_server \
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# jupyterlab_tensorboard_pro jupytext kiwisolver matplotlib matplotlib-inline matplotlib-inline \
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# mistune ml_dtypes mock nbclient nbconvert nbformat nest-asyncio notebook notebook_shim \
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# opt_einsum optree outlines_core overrides pandas pandocfilters parso pexpect polygraphy pooch \
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# pyarrow pycocotools pytest-flakefinder pytest-rerunfailures pytest-shard pytest-xdist \
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# scikit-learn scipy Send2Trash soundfile soupsieve soxr spin stack-data \
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# wcwidth webcolors xdoctest Werkzeug
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