NVIDIA is committed to simplifying, unifying, and accelerating open source DS. By optimizing the entire stack—from hardware to software—and by removing bottlenecks, we enable data scientists to do more than ever, with much less.
Using RAPIDS, scientists can focus on seamless integration with familiar APIs and interoperability with the broader open-source DS community. They can build complete end-to-end pipelines on RAPIDS, including ETL, feature engineering, ML/DL modeling, inference, and visualization—all while removing typical serialization costs and providing speedups of up to 50X.