Community Support Integrations
This page is for Self-Hosted, version v3.0 (default).
For other versions, use one of these documentation indexes:
- v3.0 (default): https://docs.nvidia.com/run-ai/self-hosted/v3.0/llms.txt
- v2.26: https://docs.nvidia.com/run-ai/self-hosted/v2.26/llms.txt
- v2.25: https://docs.nvidia.com/run-ai/self-hosted/v2.25/llms.txt
- v2.24: https://docs.nvidia.com/run-ai/self-hosted/v2.24/llms.txt
The following integrations are not supported out of the box by NVIDIA Run:ai but are commonly used alongside the platform. Reference guides are available for each.
| Tool | Category | Additional Information |
|---|---|---|
| Apache Airflow | Orchestration | It is possible to schedule Airflow workflows with the NVIDIA Run:ai Scheduler. Sample code: How to integrate NVIDIA Run:ai with Apache Airflow. |
| Argo workflows | Orchestration | It is possible to schedule Argo workflows with the NVIDIA Run:ai Scheduler. Sample code: How to integrate NVIDIA Run:ai with Argo Workflows. |
| Dataiku | AI platform | It is possible to run and govern GPU workloads using Dataiku with the NVIDIA Run:ai Scheduler. See From Stranded GPUs to Governed Inference for more details. |
| ClearML | Experiment tracking | It is possible to schedule ClearML workloads with the NVIDIA Run:ai Scheduler. |
| JupyterHub | Development | It is possible to submit NVIDIA Run:ai workloads via JupyterHub. |
| Kubeflow notebooks | Development | It is possible to launch a Kubeflow notebook with the NVIDIA Run:ai Scheduler. Sample code: How to integrate NVIDIA Run:ai with Kubeflow. |
| Kubeflow Pipelines | Orchestration | It is possible to schedule kubeflow pipelines with the NVIDIA Run:ai Scheduler. Sample code: How to integrate NVIDIA Run:ai with Kubeflow. |
| MLFlow | Model Serving | It is possible to use ML Flow together with the NVIDIA Run:ai Scheduler. |
| Ray | Training, inference, data processing | It is possible to schedule Ray jobs with the NVIDIA Run:ai Scheduler. Sample code: How to Integrate NVIDIA Run:ai with Ray. |
| SeldonX | Orchestration | It is possible to schedule Seldon Core workloads with the NVIDIA Run:ai Scheduler. |
| Spark | Orchestration | It is possible to schedule Spark workflows with the NVIDIA Run:ai Scheduler. |
| Weights & Biases | Experiment tracking | It is possible to schedule W&B workloads with the NVIDIA Run:ai Scheduler. Sample code: How to integrate with Weights and Biases. |