RAPIDS is an open-source suite of GPU-accelerated data science libraries built on CUDA-X by NVIDIA. It aims to accelerate data science workflows including DataFrame operations, machine learning, graph analytics, and data visualization with zero code changes for popular tools like pandas, scikit-learn, and Apache Spark. RAPIDS is best suited for data scientists, analysts, and engineers seeking to optimize performance on single GPUs or scale to distributed systems while using familiar PyData tools.
Visit RAPIDS's official website for product details and getting started.
Comprehensive guides and API references for using RAPIDS libraries.
A step-by-step guide for setting up and using RAPIDS for data science workflows.