NVIDIA RAPIDS

NVIDIA RAPIDS is the open-source GPU acceleration platform for end-to-end data science and analytics, delivering massive speedups over traditional CPU-based workflows.

RAPIDS is a suite of open-source software libraries designed to execute entire data science pipelines on NVIDIA GPUs, eliminating critical data transfer bottlenecks. It leverages NVIDIA CUDA primitives and the Apache Arrow columnar data format for maximum efficiency. Key components include cuDF (a GPU DataFrame with a familiar Pandas-like API) and cuML (accelerated machine learning algorithms matching scikit-learn’s API). This architecture enables significant performance gains—often 30–40x faster than CPU-only systems—and supports zero-code-change acceleration for existing workflows. For example, companies like Walmart use RAPIDS cuML to accelerate XGBoost for large-scale forecasting, driving faster, more accurate business predictions.

https://rapids.ai/