## IT Justification

Really easy. Go to GCP or AWS. Find out the type of GPU compute instance you need. Remember, the TensorBook has 64G of memory. For me, it’s about $400/month and I run models constantly. My Lambda laptop cost ~$4,000. So the payback in this case is ~10 months. There’s a bigger benefit. With the Lam…

## Lambda Tensorbook - Unable to recognize GPU with PyTorch

### Feb 26, 2022

ubuntu desktop

Reinstalling the Lambda stack did not help. But thanks, I really appreciate your help.
Should I reinstall the nVidia drivers?
Seems like something is out of sync.
Thanks.

### Command Output

No. I get the following. I have not tried changing the installation.
Command ‘nvidia-smi’ not found, but can be installed with:
```
sudo apt install nvidia-utils-435 # version 435.21-0ubuntu7, or
sudo apt install nvidia-utils-440 # version 440.82+really.440.64-0ubuntu6
```

### Note

I have also upgraded the system:
```
sudo apt-get update && sudo apt-get upgrade -y
```
And still no GPU.

### Description of the Issue

I’m unable to recognize the GPU when installing PyTorch. Initially, I could recognize the GPU by rebooting, but that no longer works. I have followed the instructions at this post to create a Conda environment and install PyTorch with GPU support:
```
conda create -n pytorch-gpu python=3.8
```