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
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -1,6 +1,7 @@
# gpu-jupyter # gpu-jupyter
#### Leverage the power of Jupyter and use your NVIDEA GPU and use Tensorflow and Pytorch in collaborative notebooks. #### 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 ## 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 ./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 ```bash
./start-local.sh -p [port] # port must be an integer with 4 or more digits. ./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 ./stop-local.sh
``` ```
## Deployment in the Docker Swarm