Hello_User/gpu-jupyter
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Chris
2019-11-14 12:14:20 +01:00
committed by GitHub
parent 48838347c2
commit 1d2789d828
1 changed files with 3 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@@ -1,6 +1,7 @@
# 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