NVIDIA GeForce RTX 5060 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation

[tokenwise]

Area of Concern

• [X ] Server
• Installer
• Server Dashboard or Explorer
• Installation issue of one or more Modules. Please post the issue on the module's Issue list directly
• Behaviour of one or more Modules Please post the issue on the module's Issue list directly
• Something else

Server Info

• CodeProject.AI 2.9.5
• Windows 11
• 16Gb
• NVIDIA GeForce 5060 Ti 16GB
• Using Docker? no

Describe the bug
NVIDIA GeForce RTX 5060 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 compute_37.

Expected behavior
It should work. Modern 50-series NVIDIA GeForce GPUs should be supported, just need to bump up to a more recent PyTorch to fix the issue

Additional context
An end-user cannot easily replace the PyTorch functionality in CodeProject

[tokenwise]

Please move this to the YOLOv8 module list

[bradpedersen]

Also fails with the same error using a Nvidia GeForce RTX 5070 with the "codeproject/ai-server:cuda12_2-2.9.7" docker image.