Deployment Documentation for Data Science

NVIDIA CUDA-X Deployment Documentation helps you get up and running with CUDA-X libraries for data science anywhere.

Local Machine

Use CUDA-X on your local workstation or server.

docker conda pip WSL2

Local

Cloud

Use CUDA-X in the cloud.

Amazon Web Services Google Cloud Platform Microsoft Azure IBM Cloud

Cloud

HPC

Use CUDA-X on high performance computers and supercomputers.

SLURM

HPC

Platforms

Use CUDA-X on compute platforms.

Kubernetes Kubeflow Coiled Databricks Google Colab

Platforms

Tools

There are many tools to deploy CUDA-X.

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

Tools

Workflow Examples

For inspiration, see our example notebooks with opinionated deployments of CUDA-X to boost machine learning workflows.

xgboost optuna mlflow ray tune

Workflow Examples

Guides

Detailed guides on how to deploy and optimize CUDA-X.

Microsoft Azure Infiniband MIG

Guides

NVIDIA NIM Microservices

NVIDIA NIM Microservices using CUDA-X to accelerate your AI deployment.

Natural Language Processing Data Processing

NVIDIA NIM Microservices

Developer

Build on CUDA-X in your development environments.

CI

Developer