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# gpu-jupyter
#### Leverage the power of Jupyter and use your NVIDEA GPU and use Tensorflow and Pytorch in collaborative notebooks.
![Jupyterlab Overview](/extra/jupyterlab-overview.png)
## Contents
@ -30,7 +31,7 @@ As soon as you have access to your GPU locally (it can be tested via a Tensorflo
./start-local.sh
```
This will run jupyter on the default port [localhost:8888](localhost:8888). The general usage is:
This will run jupyter on the default port [localhost:8888](http://localhost:8888). The general usage is:
```bash
./start-local.sh -p [port] # port must be an integer with 4 or more digits.
```
@ -40,4 +41,5 @@ In order to stop the local deployment, run:
./stop-local.sh
```
## Deployment in the Docker Swarm