Deploying RAPIDS

Deployment documentation to get you up and running with RAPIDS anywhere.

Local Machine

Use RAPIDS on your local workstation or server.

docker conda pip WSL2

Local

Cloud

Use RAPIDS on the cloud.

Amazon Web Services Google Cloud Platform Microsoft Azure IBM Cloud

Cloud

HPC

Use RAPIDS on high performance computers and supercomputers.

SLURM

HPC

Platforms

Use RAPIDS on compute platforms.

Kubernetes Kubeflow Coiled Databricks Google Colab

Platforms

Tools

There are many tools to deploy RAPIDS.

containers dask-kubernetes dask-operator dask-helm-chart dask-gateway

Tools

Workflow Examples

For inspiration see our example notebooks with opinionated deployments of RAPIDS to boost machine learning workflows.

xgboost optuna mlflow ray tune

Workflow Examples

Guides

Detailed guides on how to deploy and optimize RAPIDS.

Microsoft Azure Infiniband MIG

Guides

NVIDIA NIM Microservices

NVIDIA NIM Microservices using RAPIDS to accelerate your AI deployment.

Natural Language Processing Data Processing

NVIDIA NIM Microservices

Developer

Build on RAPIDS in your development environments.

CI

Developer