Use RTX 3090 with PyTorch

~~ * Information as of October 24, 2020. ~~ ** PyTorch 1.7 was released on October 28th, and it is compatible with CUDA 11 and can be used with RTX3090. ** **

Therefore, if you simply upgrade to PyTorch 1.7, you can use it with RTX3080 / 3090.

The following is old information.

Task

PyTorch 1.6 does not currently support RTX 3080/3090 and throws the following error.

GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.

Solutions

The workaround is to install the development version of PyTorch 1.8.

pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu110/torch_nightly.html

Although it is cu110, there is no problem because it works even if you are using cuda11.1.

version information

NVIDIA-SMI 455.23.05 Driver Version: 455.23.05 CUDA Version: 11.1/Ubuntu 20.04

result

I used to use 2070 SUPER, but the learning speed is about 3 times faster. Also, jax worked normally.

Ref.

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