https://github.com/cainmagi/dockerfiles

A collection of dockerfiles for NVIDIA DGX-230 machine.
https://github.com/cainmagi/dockerfiles

docker docker-image docker-image-builder dockerfile dockerfiles-linux jupyter jupyter-lab jupyterlab nvidia-docker xubuntu

Last synced: 11 days ago
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A collection of dockerfiles for NVIDIA DGX-230 machine.

• Host: GitHub
• URL: https://github.com/cainmagi/dockerfiles
• Owner: cainmagi
• License: mit
• Created: 2018-06-15T16:55:44.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-11-30T12:51:43.000Z (about 2 years ago)
• Last Synced: 2024-10-30T16:49:30.937Z (about 2 months ago)
• Topics: docker, docker-image, docker-image-builder, dockerfile, dockerfiles-linux, jupyter, jupyter-lab, jupyterlab, nvidia-docker, xubuntu
• Language: Shell
• Homepage: https://cainmagi.github.io/Dockerfiles
• Size: 4.25 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Dockerfile Collection for DGX-230

## Master branch

Here we provide a submodule `noVNCbin` cloned from 

[https://github.com/novnc/noVNC](https://github.com/novnc/noVNC)

and we also provide a wrapping script `noVNC` which calls the `noVNCbin` scripts here.

To make use of this service, just copy this branch to your `/usr/local/bin/` like

```Bash

/etc/ssl/

`---vncssl.cnf

/usr/local/bin/

|---noVNC

`---noVNCbin

    |---utils

    |   |---launch.sh

    |   `---...

    `---...

```

And you could use such simple command on your Bash:

```Bash

noVNC IP=192.168.127.128:5901 PORT=6080

```

where `5901` is the entry (input) port and `6080` is the service (output) port.

## Dockerfiles

Here is the list of each dockerfile:

1. xubuntu at the branch [**xubuntu**](https://github.com/cainmagi/Dockerfiles/tree/xubuntu)

    Run such a command to build the newest image online:

    ```Bash

    nvidia-docker build -t xubuntu:1.0 https://github.com/cainmagi/Dockerfiles.git#xubuntu

    ```

2. jupyterlab at the branch  [**jupyterlab**](https://github.com/cainmagi/Dockerfiles/tree/jupyterlab)

    Run such a command to build the newest image online:

    ```Bash

    nvidia-docker build -t jlab:1.0 https://github.com/cainmagi/Dockerfiles.git#jupyterlab

    ```

## Update records

See the update records in [docs-DGX branch](https://github.com/cainmagi/Dockerfiles/blob/docs-DGX/index.md#update-records).