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docs: update Dockerfile comments for GPU architecture compatibility
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@@ -1,9 +1,11 @@
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# Use DaoCloud mirrored vllm image for China region for gpu with Ampere architecture and above (Compute Capability>=8.0)
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# Use DaoCloud mirrored vllm image for China region for gpu with Ampere、Ada Lovelace、Hopper architecture (8.0 <= Compute Capability <= 9.0)
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# Compute Capability version query (https://developer.nvidia.com/cuda-gpus)
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# only support x86_64 architecture
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FROM docker.m.daocloud.io/vllm/vllm-openai:v0.10.1.1
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# Use DaoCloud mirrored vllm image for China region for gpu with Turing architecture and below (Compute Capability<8.0)
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# FROM docker.m.daocloud.io/vllm/vllm-openai:v0.10.2
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# Use DaoCloud mirrored vllm image for China region for gpu with Volta、Turing、Blackwell architecture (Compute Capability < 8.0 or Compute Capability >= 10.0)
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# support x86_64 architecture and ARM(AArch64) architecture
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# FROM docker.m.daocloud.io/vllm/vllm-openai:v0.11.0
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# Install libgl for opencv support & Noto fonts for Chinese characters
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RUN apt-get update && \
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@@ -1,9 +1,11 @@
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# Use the official vllm image for gpu with Ampere architecture and above (Compute Capability>=8.0)
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# Use the official vllm image for gpu with Ampere、Ada Lovelace、Hopper architecture (8.0 <= Compute Capability <= 9.0)
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# Compute Capability version query (https://developer.nvidia.com/cuda-gpus)
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# only support x86_64 architecture
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FROM vllm/vllm-openai:v0.10.1.1
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# Use the official vllm image for gpu with Turing architecture and below (Compute Capability<8.0)
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# FROM vllm/vllm-openai:v0.10.2
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# Use the official vllm image for gpu with Volta、Turing、Blackwell architecture (Compute Capability < 8.0 or Compute Capability >= 10.0)
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# support x86_64 architecture and ARM(AArch64) architecture
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# FROM vllm/vllm-openai:v0.11.0
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# Install libgl for opencv support & Noto fonts for Chinese characters
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RUN apt-get update && \
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