Dear NVIDIA CUDA Developer Community,
I am writing to seek assistance regarding the compatibility of CUDA with my GPU. I have been experiencing challenges in finding a compatible CUDA version for my GPU model. I am using a [NVIDIA RTX A1000 Laptop GPU].
The installation process for both CUDA 11,10, 9 and 12 seemed to proceed without errors. However, upon running the command
print(torch.cuda.is_available()) in Python, it consistently returns
False , indicating that CUDA is not available on my system.
After further investigation, I suspect that I might not have correctly added the CUDA binaries and libraries to the system’s PATH. I would greatly appreciate guidance on the proper steps to ensure CUDA is properly added to the PATH environment variable.
I have already attempted the following steps:
- Located the CUDA installation directory, which is located at [insert CUDA installation path].
- Accessed the system’s environment variables settings and modified the “Path” variable to include the CUDA “bin” directory, [insert CUDA bin directory].
I am reaching out to the CUDA developer community with the hope that you can provide guidance, insights, or alternative suggestions to resolve this compatibility issue. I am eager to utilize CUDA for GPU computing and would greatly appreciate any assistance you can offer in identifying a compatible CUDA version for my GPU.
If there are any specific diagnostic steps, additional configurations, or troubleshooting recommendations that I should consider, please kindly provide them. Your expertise and support in resolving this matter would be invaluable.
Thank you for your time and consideration. I eagerly await your response and guidance.