Web Reference: Mar 27, 2025 · as of now, pytorch which supports cuda 12.8 is not released yet. but unofficial support released nightly version of it. here are the commands to install it. so with this pytorch version you can use it on rtx 50XX. I've got 5080 and it works just fine. Oct 31, 2025 · This then causes the crash in the PyTorch memory manager (CUDACachingAllocator). You could either optimize host memory or consider follow the steps Convert the PyTorch model to use TensorRT which is specifically designed to run on the Jetson with maximum efficiency and minimal memory overhead. Good luck with your implementation! Jan 23, 2025 · WSL 2 For the best experience, we recommend using PyTorch in a Linux environment as a native OS or through WSL 2 in Windows. To start with WSL 2 on Windows, refer to Install WSL 2 and Using NVIDIA GPUs with WSL2. Docker For Day 0 support, we offer a pre-packed container containing PyTorch with CUDA 12.8 to enable Blackwell GPUs.
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