Pytorch Cuda 12.6 News Patched 99%
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: If you are using a newer Blackwell GPU, you should bypass 12.6 and use CUDA 12.8 or 13.0 to take full advantage of the hardware's native compute capabilities. Get Started - PyTorch
Tests on 8x H100 GPUs with a Llama 2 70B model (TP=8):
: Official NVIDIA PyTorch Containers (e.g., version 24.12) have been refreshed to use CUDA 12.6.3 as their base, bundled with cuDNN 9.5.1 and NCCL 2.23.4 . Installation Guide for CUDA 12.6
Here is some draft content related to PyTorch and CUDA 12.6:
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: If you are using a newer Blackwell GPU, you should bypass 12.6 and use CUDA 12.8 or 13.0 to take full advantage of the hardware's native compute capabilities. Get Started - PyTorch
Tests on 8x H100 GPUs with a Llama 2 70B model (TP=8):
: Official NVIDIA PyTorch Containers (e.g., version 24.12) have been refreshed to use CUDA 12.6.3 as their base, bundled with cuDNN 9.5.1 and NCCL 2.23.4 . Installation Guide for CUDA 12.6
Here is some draft content related to PyTorch and CUDA 12.6: