Upgrade to latest CUDA on Jetson without upgrading JetPack

Now with cuda 12.2. Driver is too old…

import torch
torch.cuda.is_avaible()
Traceback (most recent call last):
File “”, line 1, in
AttributeError: module ‘torch.cuda’ has no attribute ‘is_avaible’. Did you mean: ‘is_available’?
torch.cuda.is_available()
/home/jetson/miniconda3/envs/prueba/lib/python3.11/site-packages/torch/cuda/init.py:138: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11040). Please update your GPU driver by downloading and installing a new version from the URL: Official Drivers | NVIDIA Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at /home/jetson/Projects/pytorch/c10/cuda/CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() > 0
False