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 - May 2024 (24h1) is compatible with NVIDIA AI Enterprise Infrastructure 5.
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Visit the NVIDIA AI Enterprise Documentation Hub for release documentation, deployment guides and more.
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