> ## Documentation Index
> Fetch the complete documentation index at: https://docs.domino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# NVIDIA NGC

## NVIDIA GPU Cloud (NGC) offers pre-built containers

They have both general-purpose and domain-specific offerings for machine learning and deep learning workloads on NVIDIA GPUs.

Domino enhances NGC containers for use in Domino and for general data science work.

**Add Domino compatibility**\
Domino automatically manages code and data versioning as part of the container lifecycle and as a result we require specific additional software in the container.

**Add Data Source drivers**\
Domino adds drivers for Data Sources such as Snowflake, Oracle, and Microsoft SQL to make it easy to connect to a Data Source without needing to manually add drivers.

**Add Workspaces**\
When an NGC container doesn’t include an interactive notebook, Domino adds Jupyter to the image so you can interactively develop in the image. When there’s a notebook already included, Domino configures the existing notebook to work.

Domino builds the latest versions of NGC containers with a preference for Ubuntu base images. If there’s an Environment that you’re looking for which is not available, request it from [ngc-request@dominodatalab.com](mailto:ngc-request@dominodatalab.com).

## Add an NGC image to Domino

1. Choose the NGC container from the list of [available containers](#available-containers).

2. Create a new Compute Environment in Domino.

3. Use the link from the container you selected as the base compute Environment (for example, `quay.io/domino/ngc-pytorch:20.12-py3`)

4. Enter the following in the **Workspace Definition** area:

```yaml theme={null}
jupyter:
 title: "Jupyter (Python, R, Julia)"
 iconUrl: "/assets/images/workspace-logos/Jupyter.svg"
 start: [ "/opt/domino/workspaces/jupyter/start" ]
 httpProxy:
   port: 8888
   rewrite: false
   internalPath: "/{{ownerUsername}}/{{projectName}}/{{sessionPathComponent}}/{{runId}}/{{   requireSubdomain: false
jupyterlab:
 title: "JupyterLab"
 iconUrl: "/assets/images/workspace-logos/jupyterlab.svg"
 start: [  "/opt/domino/workspaces/jupyterlab/start" ]
 httpProxy:
   internalPath: "/{{ownerUsername}}/{{projectName}}/{{sessionPathComponent}}/{{runId}}/{{   port: 8888
   rewrite: false
   requireSubdomain: false
```

## Available containers

### RAPIDS

|                       | [https://ngc.nvidia.com/catalog/containers/nvidia:rapidsai:rapidsai](https://ngc.nvidia.com/catalog/containers/nvidia:rapidsai:rapidsai) |
| --------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Domino registry path: | `quay.io/domino/ngc-rapids:0.18-cuda11.0-runtime-ubuntu20.04-py3.8`                                                                      |
| Versions:             | RAPIDS 0.18, Ubuntu 18.04, CUDA 11                                                                                                       |
| Base Image:           | `docker pull nvcr.io/nvidia/rapidsai/rapidsai:0.18-cuda11.0-base-ubuntu18.04`                                                            |
| Notes:                | N/A                                                                                                                                      |

### PyTorch

|                       | [https://ngc.nvidia.com/catalog/containers/nvidia:pytorch](https://ngc.nvidia.com/catalog/containers/nvidia:pytorch) |
| --------------------- | -------------------------------------------------------------------------------------------------------------------- |
| Domino registry path: | `quay.io/domino/ngc-pytorch:20.12-py3`                                                                               |
| Versions:             | Ubuntu 18.04, CUDA 11                                                                                                |
| Base Image:           | `docker pull nvcr.io/nvidia/pytorch:21.02-py3`                                                                       |
| Notes:                | N/A                                                                                                                  |

### TensorFlow

|                       | [https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow](https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow) |
| --------------------- | -------------------------------------------------------------------------------------------------------------------------- |
| Domino registry path: | `quay.io/domino/ngc-tensorflow:20.12-tf1-py3`                                                                              |
| Versions:             | TensorFlow v21.03, Ubuntu 18.04, CUDA 11                                                                                   |
| Base Image:           | `docker pull nvcr.io/nvidia/tensorflow:21.03-tf1-py3`                                                                      |
| Notes:                | N/A                                                                                                                        |

### Clara Train

|                       | [https://ngc.nvidia.com/catalog/containers/nvidia:clara-train-sdk](https://ngc.nvidia.com/catalog/containers/nvidia:clara-train-sdk) |
| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
| Domino registry path: | `quay.io/domino/ngc-clara-train:v3.1.01`                                                                                             |
| Versions:             | Clara v3.1.01, Ubuntu 18.04, CUDA 11                                                                                                 |
| Base Image:           | `docker pull nvcr.io/nvidia/clara-train-sdk:v3.1.01`                                                                                 |
| Notes:                | N/A                                                                                                                                  |

### MXNet

|                       | [https://ngc.nvidia.com/catalog/containers/nvidia:mxnet](https://ngc.nvidia.com/catalog/containers/nvidia:mxnet) |
| --------------------- | ---------------------------------------------------------------------------------------------------------------- |
| Domino registry path: | `quay.io/domino/ngc-mxnet:20.12-py3`                                                                             |
| Versions:             | MXNet v21.03, Ubuntu 18.04, CUDA 11                                                                              |
| Base Image:           | `docker pull nvcr.io/nvidia/mxnet:21.03-py3`                                                                     |
| Notes:                | N/A                                                                                                              |