GPU infrastructure and automation tools

The DeepOps project encapsulates best practices in the deployment of GPU server clusters and sharing single powerful nodes. DeepOps can also be adapted or used in a modular fashion to match site-specific cluster needs. For example:

• An on-prem data center of NVIDIA DGX servers where DeepOps provides end-to-end capabilities to set up the entire cluster management stack
• An existing cluster that needs a resource manager / batch scheduler, where DeepOps is used to install Slurm, Kubernetes, or a hybrid of both
• A single machine where no scheduler is desired, only NVIDIA drivers, Docker, and the NVIDIA Container Runtime

For detailed help or guidance, read through our Getting Started Guide or pick one of the deployment options documented below.

DeepOps supports using Ansible 2.9.x. Ansible 2.10.x and newer are not currently supported.

DeepOps currently supports the following Linux distributions:

• Ubuntu 18.04 LTS, 20.04 LTS

Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters.

Consult the DeepOps Slurm Deployment Guide for instructions on building a GPU-enabled Slurm cluster using DeepOps.

For more information on Slurm in general, refer to the official Slurm docs.

To update from a previous version of DeepOps to a newer release, please consult the DeepOps Update Guide.

This project is released under the BSD 3-clause license.

NVIDIA DGX customers should file an NVES ticket via NVIDIA Enterprise Services.

Otherwise, bugs and feature requests can be made by filing a GitHub Issue.

To contribute, please issue a signed pull request against the master branch from a local fork. See the contribution document for more information.