`nvidia-smi Fri Oct 10 11:49:15 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4
...`
I am using a python package that is kind of bleeding edge in development. It is an astrophotography package called SetAstroSuitePro. It has many functions that can be greatly enhanced with the GPU. Previous versions of SAS Pro were compatible with my machine and did well utilizing CUDA version 12.4.
Now though, the developers have introduced a new version which uses a later version of pytorch which must be installed. However, as I understand your webpage, version 12.4 is no longer supported in this pytorch version. 12.6 is the lowest version supported.
Would it be possible for me to install this package following the pattern of the commands supplied on this page:
If that will not work, what is the best way to get v12.6 onto my system? Can it be done without upgrading the driver (which the Software Updates app will not allow due to version mismatch issues).
The posted command should work but will install the last PyTorch version built with CUDA 12.4, which is torch==2.6.0.
The PyTorch binaries ship with their own CUDA runtime dependencies and your locally installed CUDA toolkit won’t be used. Your Ada Lovelace GPU is supported in all of our builds and you would only need to properly install an NVIDIA driver (corresponding to the desired major CUDA version).
Properly install an NVIDIA driver. Driver 550.163.01 is the most recent that can be installed on the system using normal means (Software Updates app). Higher offered versions like 570 and 580 fail at installation due to unresolved dependencies. I guess I should try the command and see if the software works.