Linux / amd64
Linux / arm64
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
NVIDIA RAPIDS includes XGBoost, cuDF for Data Frames, cuML for Machine Learning, cuGraph for Graph processing, RMM for memory management, and spatiotemporal operations.
The NVIDIA RAPIDS Production Branch, exclusively available with NVIDIA AI Enterprise, is a 9-month supported, API-stable branch that includes monthly fixes for high and critical software vulnerabilities. This branch provides a stable and secure environment for building your mission-critical AI applications. The NVIDIA RAPIDS production branch releases every six months with a three-month overlap in between two releases.
Before you start, ensure that your environment is set up by following one of the deployment guides available in the NVIDIA AI Enterprise Documentation.
For more information on RAPIDS, visit the following links:
For the optimized performance, it is highly recommended to deploy the supported NVIDIA AI Enterprise Infrastructure software in conjunction with your AI software.
Production Branch - October 2023 (23h2) is compatible with NVIDIA AI Enterprise Infrastructure 4.0 and NVIDIA AI Enterprise Infrastructure 4.1.
Important Note: For Rapids Production Branch release 23.06.03-runtime or higher, vulnerability GHSA-5wvp-7f3h-6wmm in pyarrow 11.0.0 is resolved in cuDF. If cuDF is not imported, apply the pyarrow-hotfix to any library that is importing pyarrow.
Please review the Security Scanning tab to view the latest security scan results.
For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Get access to knowledge base articles and support cases or submit a ticket.
Visit the NVIDIA AI Enterprise Documentation Hub for release documentation, deployment guides and more.
Go to the NVIDIA Licensing Portal to manage your software licenses. licensing portal for your products. Get Your Licenses