quay.io/jupyter/pytorch-notebook:cuda12-python-3.11.8
.
See the Quickstart tutorial to see how to get an API key and select a different GPU.
We will be running the instance on an A6000 GPU at $0.57/hr.
Make sure to replace <api-key>
with your account’s API Key.
jupyter-notebook
and click on the Logs
tab.
http://shadecloud:8888/lab?token=736db552017247000023364f8e215cebebaa2f4431b4b015
Make sure to save the token from that url. In this example, the token is 736db552017247000023364f8e215cebebaa2f4431b4b015
but your token will be different.
http://<ip_address>:8888
On this page, you will need to paste in the token you saved earlier and click the Login
button.
After logging in with your token, your Jupyter Notebook instance is up and running!
You can use the following code to check for the GPU on your machine.