NVIDIA GPU Cloud (NGC) provides a variety of pre-built containers for machine learning and deep learning workloads on NVIDIA GPUs. There are a variety of images, both general purpose and domain specific offerings.
Domino takes NGC containers and we add a variety of software to enhance those containers for use in Domino and for general data science work.
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Adding 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 to work
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Adding data source drivers - Domino adds drivers for a variety of data sources in order to make it easy to connect to a data source without needing to manually add drivers. We include Snowflake, Oracle, Microsoft SQL, and so on.
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Adding workspaces - When an NGC container doesn’t include an interactive notebook, we add Jupyter to the image so that you can interactively develop in the image. When there’s a notebook already included, we configure that existing notebook to work.
We build 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, you can request it from ngc-request@dominodatalab.com.
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Choose the NGC container from the list below
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Create a new compute environment in Domino
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Use the "Link" from below as the base compute environment (for example, quay.io/domino/ngc-pytorch:20.12-py3)
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Enter the following in the Workspace Definition area:
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}}/{{#if pathToOpen}}tree/{{pathToOpen}}{{/if}}"
requireSubdomain: false
jupyterlab:
title: "JupyterLab"
iconUrl: "/assets/images/workspace-logos/jupyterlab.svg"
start: [ "/opt/domino/workspaces/jupyterlab/start" ]
httpProxy:
internalPath: "/{{ownerUsername}}/{{projectName}}/{{sessionPathComponent}}/{{runId}}/{{#if pathToOpen}}tree/{{pathToOpen}}{{/if}}"
port: 8888
rewrite: false
requireSubdomain: falseRAPIDS
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