> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/clara/parabricks/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/clara/parabricks/_mcp/server.

# NVIDIA Parabricks WDL/Nextflow Workflows

Parabricks containers are compatible with WDL and NextFlow for building
customized workflows, combining GPU and CPU-powered tasks with different
compute requirements, and deploying at scale.

These enable workflows to be deployed on cloud batch services and local
clusters, such as SLURM, in a well-managed process, pulling from a combination
of Parabricks and third-party containers, and running these on pre-defined nodes.

![](/clara/parabricks/_files/parabricks-clara.docs.buildwithfern.com/64d520699cb51913ada7fa8f2cc4beb938047eba63a860d16fe6f6f8aa83e5eb/assets/images/Workflow_diagram.png)

For more information on running these workflows, and to view the open-source reference
workflows, which can be easily forked/edited, visit the Parabricks
Workflows repository [https://github.com/clara-parabricks-workflows](https://github.com/clara-parabricks-workflows). This repository
includes recommended instance configurations for deploying the GPU-based tools on cloud
and you can easily fork or edit it.