Hi, I have tested docker 4.0 with win11, it works.
But I can’t use any cuda image from hub.
I have tried:
docker run --gpus all -it --rm nvcr.io/nvidia/pytorch:21.08-py3 bash
docker run --gpus all -it --rm nvidia/cuda:11.4.1-devel-ubuntu18.04 bash
docker run --gpus all -it --rm nvidia/cuda:10.2-devel-ubuntu18.04 bash
WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available.
Use 'nvidia-docker run' to start this container; see
NOTE: MOFED driver for multi-node communication was not detected.
Multi-node communication performance may be reduced.
NOTE: The SHMEM allocation limit is set to the default of 64MB. This may be
insufficient for PyTorch. NVIDIA recommends the use of the following flags:
nvidia-docker run --ipc=host ...
When running the NGC Deep Learning (DL) Framework GPU containers in WSL 2, you may encounter a message:
The NVIDIA Driver was not detected. GPU functionality will not be available.
Note that this message is an incorrect warning for WSL 2 and will be fixed in future releases of the DL Framework containers to correctly detect the NVIDIA GPUs. The DL Framework containers will still continue to be accelerated using CUDA on WSL 2.