I’ve been trying to use the Dedicated Deployment’s dev-gpu
through Jupyter Notebook. But after starting the Dedicated deployment and launching the notebook, the following code inside a .ipynb
file returns False
:
import torch
torch.cuda.is_available()
Also, when I run the command nvidia-smi
in the Jupyter Notebook terminal, I get the following error:
bash: nvidia-smi: command not found
Do I need to install any additional packages or make some configuration changes to enable the dedicated deployment’s GPU usage on the Jupyter Notebook?
I also ran the deployment with machine type selected as GPU.