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Docker Desktop 4.31 was released yesterday and includes NVIDIA Container Toolkit 1.15.0, which resolves this issue.
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Please see NVIDIA/nvidia-container-toolkit#520 .
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wsl以及cudaGetDeviceCount错误……我遇到过一个类似的故障,原因是wsl外面安装了向日葵远程工具,向日葵创建的虚拟显卡干扰了wsl里面的vllm。
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wsl以及cudaGetDeviceCount错误……我遇到过一个类似的故障,原因是wsl外面安装了向日葵远程工具,向日葵创建的虚拟显卡干扰了wsl里面的vllm。
我卸载了向日葵,运行还是报错
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Stumbled over this issue while looking around to see if there have been any fixes.
I just checked the Nvidia driver feedback thread and it's actually a listed known issue:
PyTorch-CUDA Docker not compatible with CUDA 12.5/GRD 555.85 [4668302]
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Docker Desktop 时遇到此症状,则表示正在修复(升级捆绑的 nvidia-container-toolkit);预计什么时候修复更新?
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Docker Desktop 时遇到此症状,则表示正在修复(升级捆绑的 nvidia-container-toolkit);预计什么时候修复更新?
We are moving as quickly with it as we can, but I don't have an ETA yet, which is why I didn't list one in the other issue.
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