The RAPIDS suite of software libraries, built on CUDA-X AI, 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 that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. About NVIDIA.
- Public dec
- 10 minutes to cuDF and Dask_cuDF
- 10 minutes to cuDF and cuPy
- How to create user-defined functions in RAPIDS cuDF
- RAPIDS on Medium.com - is a great place to catch up with RAPIDS new functionality
- RAPIDS: NVIDIA Developer Blog
- With RayTune and RAPIDS, you can now tune Random Forest Classifiers 30x faster - while getting a 5% accuracy boost
- See other NVIDIA blogs
- RAPIDS in Kaggle competition LinkedIn
- Here is the first ever successful implementation of NVIDIA #rapids library in a Kaggle kernel. It achieves 600X speedup of the kNN as compared to #sklearn LinkedIn
- RAPIDS Kaggle Kernel - RAPIDS Getting Started
- cuSpatial: Spatiotemporal Processing using CUDA | blog | GitHub
- RAPIDS and supported libraries
- See other CUDA libraries
- See other NVIDIA libraries
- Accelerating Python in Banking: Video | Slides
- Accelerating time to value with XGBoost on NVIDIA GPUs: Video | Slides
- Accelerated Machine Learning with RAPIDS by Akshit Arora (Slides)
- See other NVIDIA Webinars
- RAPIDS
- RAPIDS Accelerates Data Science End-to-End
- RAPIDS: The Rise of Notebooks Extended
- cyBERT: Neural network, that’s the tech; To free your staff from, bad regex
- NVIDIA RAPIDS Accelerates Kubeflow Pipeline with GPUs on Kubernetes
- Run RAPIDS on Google Colab — For Free
- NVIDIA Launches GPU-Acceleration Platform for Data Science, Volvo Selects NVIDIA DRIVE
- RAPIDS: NVIDIA Developer Blog programming-and-performance/nvidia-rapids-/)
- Run RAPIDS on Kubernetes env
- Install RAPIDS on Jetson TX2
- RAPIDS Forum
- RAPIDS YouTube channel
- RAPIDS Community
- AI Computing Model
- Technologies
- Cloud and Data center
- Research at NVIDIA
- Autonomous Machines
- Deep Learning & AI
- Design and Pro Visualisation
- Gaming
- Support
Contributions are very welcome, please share back with the wider community (and get credited for it)!
Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.
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