What Is NVIDIA RAPIDS?

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.

What Is NVIDIA RAPIDS Long Term Support for the Whole Stack?

The NVIDIA RAPIDS LWS, exclusively available with NVIDIA AI Enterprise, offers a stable, API-stable branch with three years of support. This branch ensures fixes for high and critical software vulnerabilities every three months, providing a reliable software distribution tailored to your specific NVIDIA hardware. This guarantees both hardware and software support for the extended timelines required by your critical use cases. Major releases occur every three years, with minor releases, including bug fixes and patches for high and critical CVEs, every three months.

Getting started with NVIDIA RAPIDS LWS

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:

• RAPIDS.ai website

• RAPIDS User Guides

• RAPIDS Documentation

Compatible Infrastructure Software Versions

For the optimized performance, it is highly recommended to deploy the supported NVIDIA AI Enterprise Infrastructure software in conjunction with your AI software.

The newest release of Long-Term Support Branches 2 is compatible with NVIDIA AI Enterprise Infrastructure 1.6.

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