RAPIDS™ is an open-source suite of GPU-accelerated data science and AI libraries that provide APIs matching the most popular open-source data tools. It accelerates performance by orders of magnitude, at scale, across data pipelines. RAPIDS is part of NVIDIA CUDA-X and offers an optimized hardware-to-software stack for the entire data science pipeline.

Features

• Massive Speedups: RAPIDS delivers faster pipelines, enabling more experimentation and improving outcomes.
• Zero-Code-Change Accelerators: Quickly accelerate existing workloads with familiar Python APIs.
• Modular Libraries: A flexible, open-source platform with over 100 software integrations, promoting collaboration.
• Runs Everywhere: RAPIDS runs on all major clouds, on local machines, or on-premises.
• Accelerated Data Pipeline: Libraries that speed up widely adopted operations and algorithms, reducing time to insight.

Benefits

• Faster Data Processing: Achieve up to 150x faster performance with cuDF, 13x faster with Polars, 50x faster with cuML, and 48x faster with cuGraph.
• Flexible Across Workloads: Simplifies the development process with a modular, interoperable selection of libraries.
• Industry Solutions: Supports data preparation, machine learning, deep learning, and MLOps, keeping data science pipelines running smoothly at any scale.
• Enterprise Adoption: Proven success in various industries, including finance, advertising, retail, and public sector, with significant cost savings and performance improvements.