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To view the manual for using images, click here.

To view the detailed graphic guides, click here.

To view extra manuals about xUbuntu, click here.

Docker image info list

Here we would show the list of currently built images. Please check each item to find the information of any specific image.

Table of contents

xUbuntu

The following images are built based on xubuntu branch.

nvcr.io/uoh053018/xubuntu-tf:1.8-2.10.1

X-Ubuntu Tensorflow 2

The xubuntu TensorFlow 2.x image. Currently, the TensorFlow version is 2.10.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.8-2.10.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:22.12-tf2-py3 --build-arg BASE_LAUNCH=/opt/nvidia/nvidia_entrypoint.sh --build-arg WITH_EXTRA_APPS=cpgo --build-arg INIT_UID=$(id -u) --build-arg INIT_GID=$(id -g) https://github.com/Y326s/DGX-DockerImages.git#xubuntu-1.8

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.8-2.10.1

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.8-1.13.1

X-Ubuntu Tensorflow 1.13.1

The xubuntu TensorFlow 1.x image. Currently, the TensorFlow version is 1.13.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.8-1.13.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:19.03-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg WITH_EXTRA_APPS=cgo --build-arg INIT_UID=$(id -u) --build-arg INIT_GID=$(id -g) https://github.com/Y326s/DGX-DockerImages.git#xubuntu-1.8

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.8-1.13.1

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.8-1.14.0

X-Ubuntu PyTorch

The xubuntu latest PyTorch image. Currently, the PyTorch version is 1.14.0a0+410ce96.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.8-1.14.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:22.12-py3 --build-arg BASE_LAUNCH=/opt/nvidia/nvidia_entrypoint.sh --build-arg WITH_EXTRA_APPS=cpgxo --build-arg INIT_UID=$(id -u) --build-arg INIT_GID=$(id -g) https://github.com/Y326s/DGX-DockerImages.git#xubuntu-1.8

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.8-1.14.0

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.8-1.2.0

X-Ubuntu PyTorch

The xubuntu PyTorch 1.2.0 image. Currently, the PyTorch version is 1.2.0a0+f6aac41 image.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.8-1.2.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:19.07-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg WITH_EXTRA_APPS=cpgo --build-arg INIT_UID=$(id -u) --build-arg INIT_GID=$(id -g) https://github.com/Y326s/DGX-DockerImages.git#xubuntu-1.8

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.8-1.2.0

This image contains:

nvcr.io/uoh053018/xubuntu-matlab:r2022a

X-Ubuntu MATLAB R2022a

The xubuntu MATLAB R2022a image.

This image is built based on the xubuntu-tc:1.7-1.12.0 image. The MATLAB and other packages are installed manually. Note that a license is needed if you want to launch MATLAB.

Because the layer of installing MATLAB is too large, we have not found a method for pushing the image to our NGC account. Maybe we could solve this problem in the future.

This image contains:

Authorization

If you want to authorize (or de-authorize) MATLAB by an individual license, just click the “Activate” (“Deactivate”) button is OK. Remember to configure the licensed user as xubuntu.

MATLAB R2020a Authorization
MATLAB Authorization

If you want to authorize (or de-authorize) MATLAB by a computer-level license, you need to use the following command,

sudo matlab-activate  # Activate MATLAB R2022a
sudo matlab-deactivate  # Deactivate MATLAB R2022a
Compiler

Currently, it seems that GCC 6.3.x is no longer required by MATLAB Compiler. Instead, using GCC 9.x is good enough. See this page :link:.

nvcr.io/uoh053018/xubuntu-tf:1.7-2.8.0

X-Ubuntu Tensorflow 2

The xubuntu TensorFlow 2.x image. Currently, the TensorFlow version is 2.8.0.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.7-2.8.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:22.03-tf2-py3 --build-arg BASE_LAUNCH=/opt/nvidia/nvidia_entrypoint.sh --build-arg JLAB_VER=3 --build-arg WITH_EXTRA_APPS=cpgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.7-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.7-2.8.0

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.7-1.13.1

X-Ubuntu Tensorflow 1.13.1

The xubuntu TensorFlow 1.x image. Currently, the TensorFlow version is 1.13.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.7-1.13.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:19.03-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=cgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.7-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.7-1.13.1

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.7-1.12.0

X-Ubuntu PyTorch

The xubuntu latest PyTorch image. Currently, the PyTorch version is 1.9.0a0+2ecb2c7.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.7-1.12.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:22.03-py3 --build-arg BASE_LAUNCH=/opt/nvidia/nvidia_entrypoint.sh --build-arg JLAB_VER=3 --build-arg WITH_EXTRA_APPS=cpgxo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.7-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.7-1.12.0

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.7-1.2.0

X-Ubuntu PyTorch

The xubuntu PyTorch 1.2.0 image. Currently, the PyTorch version is 1.2.0a0+f6aac41 image.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.7-1.2.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:19.07-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=3 --build-arg WITH_EXTRA_APPS=cpgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.7-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.7-1.2.0

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.6-2.4.0

X-Ubuntu Tensorflow 2

The xubuntu TensorFlow 2.x image. Currently, the TensorFlow version is 2.4.0.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.6-2.4.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:21.05-tf2-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.6-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.6-2.4.0

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.6-1.13.1

X-Ubuntu Tensorflow 1.13.1

The xubuntu TensorFlow 1.x image. Currently, the TensorFlow version is 1.13.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.6-1.13.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:19.03-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=go https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.6-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.6-1.13.1

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.6-1.9.0

X-Ubuntu PyTorch

The xubuntu latest PyTorch image. Currently, the PyTorch version is 1.9.0a0+2ecb2c7.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.6-1.9.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:21.05-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.6-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.6-1.9.0

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.6-1.2.0

X-Ubuntu PyTorch

The xubuntu PyTorch 1.2.0 image. Currently, the PyTorch version is 1.2.0a0+f6aac41 image.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.6-1.2.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:19.07-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.6-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.6-1.2.0

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.5-2.3.1

X-Ubuntu Tensorflow 2

The xubuntu TensorFlow 2.x image. Currently, the TensorFlow version is 2.3.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.5-2.3.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:20.12-tf2-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.5-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.5-2.3.1

This image contains:

nvcr.io/uoh053018/xubuntu-tf:1.5-1.13.1

X-Ubuntu Tensorflow 1.13.1

The xubuntu TensorFlow 1.x image. Currently, the TensorFlow version is 1.13.1.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tf:1.5-1.13.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:19.03-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=go https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.5-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tf:1.5-1.13.1

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.5-1.2.0

X-Ubuntu PyTorch

The xubuntu PyTorch 1.2.0 image. Currently, the PyTorch version is 1.2.0a0+f6aac41 image.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.5-1.2.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:19.07-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.5-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.5-1.2.0

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.5-1.8.0

X-Ubuntu PyTorch

The xubuntu latest PyTorch image. Currently, the PyTorch version is 1.8.0a0+1606899.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.5-1.8.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:20.12-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.5-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.5-1.8.0

This image contains:

nvcr.io/uoh053018/xubuntu-tc:1.5-1.0.0

X-Ubuntu PyTorch 1.0

The xubuntu PyTorch 1.0 image. Currently, the PyTorch version is 1.0.0a0+056cfaf.

This image is built based on the following command:

docker build -t nvcr.io/uoh053018/xubuntu-tc:1.5-1.0.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:19.01-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=2 --build-arg WITH_EXTRA_APPS=pgo https://github.com/cainmagi/Dockerfiles.git#xubuntu-v1.5-u20.04

This image has been also uploaded to our NGC account, check here for viewing details. With our NVIDIA account, you could pull the image directly by:

docker pull nvcr.io/uoh053018/xubuntu-tc:1.5-1.0.0

This image contains:

nvcr.io/uoh053018/xubuntu-matlab:r2020b

X-Ubuntu MATLAB R2020b

The xubuntu MATLAB R2020b image.

This image is built based on the xubuntu-tf:1.4-2.3.1 image. The MATLAB and other packages are installed manually. Note that a license is needed if you want to launch MATLAB.

Because the layer of installing MATLAB is too large, we have not found a method for pushing the image to our NGC account. Maybe we could solve this problem in the future.

This image contains:

nvcr.io/uoh053018/xubuntu-matlab-xp:r2020b

X-Ubuntu MATLAB R2020b (Windows XP Theme)

This image is configured based on xubuntu-matlab:r2020b. All the installed packages are the same. The only difference is that it is switched to a Windows XP theme. This image is an example showing how to make the xUbuntu like Windows.

Jupyter Lab

The following images are built based on jupyterlab branch. Actually, the xUbuntu images have been already equipped with Jupyter Lab. However, the versions of all of those JLab releases are 2.2.9. Here we provide images with Jupyter Lab 3.0.6. The JLab 3 has just quitted the pre-release stage for not very long. Currently, the newest version is 3.0.6. It means most extensions designed for JLab 1 or 2 would not support JLab 3. However, some useful extensions only support JLab 3, like Chinese localization, variable inspector, and language linter. These images are provided for those who want to try the newest Jupyter Lab. All of them do not support desktop applications.

jlab3-tf:2.3.1

Jupyter Lab 3 and Tensorflow 2

The xubuntu TensorFlow 2.x image. Currently, the TensorFlow version is 2.3.1.

This image is built based on the following command:

docker build -t jlab3-tf:2.3.1 --build-arg BASE_IMAGE=nvcr.io/nvidia/tensorflow:20.12-tf2-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=3 --build-arg JLAB_EXTIERS=2 https://github.com/cainmagi/Dockerfiles.git#jlab-v1.2

This image contains:

jlab3-tc:1.0

Jupyter Lab 3 and PyTorch

The xubuntu latest PyTorch image. Currently, the PyTorch version is 1.8.0a0+1606899.

This image is built based on the following command:

docker build -t jlab3-tc:1.8.0 --build-arg BASE_IMAGE=nvcr.io/nvidia/pytorch:20.12-py3 --build-arg BASE_LAUNCH=/usr/local/bin/nvidia_entrypoint.sh --build-arg JLAB_VER=3 --build-arg JLAB_EXTIERS=2 https://github.com/cainmagi/Dockerfiles.git#jlab-v1.2

This image contains: