Problem in accessing NVIDIA GEFORCE RTX 4080 GPU from my Anaconda JupyterLab notebook

AI & Data Science Deep Learning (Training & Inference) cuDNN
1

Dear all,
Somebody, please help me.
I just bought an HP OMEN laptop. Please help me set up my local laptop to run deep learning codes for CUDA in Jupyter Notebook with my GPU (also CPU optimally).

I have difficulty accessing the NVIDIA GEFORCE RTX 4080 GPU from my Anaconda JupyterLab notebook, when used with Windows 11. CUDA version is 12.4

I have downloaded the Cuda toolkit, but when I go to Jupyter notebooks and type the command torch.cuda.is_available(), I get a ‘false’ for output

(base) PS C:\windows\system32> conda activate pytorchenv
(pytorchenv) PS C:\windows\system32> python -c “import torch; print(‘CUDA Available:’, torch.cuda.is_available()); print(‘CUDA Device Name:’, torch.cuda.get_device_name(0) if torch.cuda.is_available() else ‘CUDA not available’)”
CUDA Available: False
CUDA Device Name: CUDA not available

2

Normally cuda is not available is caused by Pytorch and cuda version mismatch .
Can you validate that?

Thanks