Hello everyone,
I am currently working on a computer vision project where GPU acceleration is crucial for performance. Despite activating the GPU through the green icon in the top right corner of my Studio environment, Torch indicates that CUDA is not available (torch.cuda.is_available() returns False). Here are the details of my setup and the issue I’m encountering:
System Information:
- CUDA Compiler Version:
nvccreports CUDA compilation tools release 12.4. - GPU Information: According to
lspci, my system has an NVIDIA Tesla T4 GPU (revision a1). - NVIDIA Driver and CUDA Version:
nvidia-smireports NVIDIA Driver Version 535.183.06 and CUDA Version 12.2.
Current GPU Status:
- nvidia-smi Output:
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.183.06 Driver Version: 535.183.06 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | | N/A 31C P8 9W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+
