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| # RAPIDS | ||
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| The RAPIDS suite of software libraries, built on [CUDA-X AI](https://www.developer.nvidia.com/machine-learning), 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](https://www.nvidia.com/en-gb/about-nvidia/). | ||
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| ## Home | ||
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| - [RAPIDS - Open GPU Data Science](https://rapids.ai/index.html) | ||
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| ## Docs | ||
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| - [Public dec](https://docs.rapids.ai/overview) | ||
| - [10 minutes to cuDF and Dask_cuDF](https://medium.com/rapids-ai/10-minutes-to-rapids-cudf-and-dask-cudf-3d16fcb84139) | ||
| - [10 minutes to cuDF and cuPy](https://medium.com/rapids-ai/10-minutes-to-cudf-and-cupy-e131cac0439b) | ||
| - [How to create user-defined functions in RAPIDS cuDF](https://medium.com/rapids-ai/user-defined-functions-in-rapids-cudf-2d7c3fc2728d) | ||
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| ## Blogs | ||
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| - [Rapids on Medium.com](https://medium.com/rapids-ai) - is a great place to catch up with RAPIDS new functionality | ||
| - [RAPIDS: NVIDIA Developer Blog](https://devblogs.nvidia.com/tag/rapids/) | ||
| - See other [NVIDIA blogs](https://blogs.nvidia.com/) | ||
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| ## Tutorials (with notebooks) | ||
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| - [Introduction to RAPIDS, cdDF, Dask, Dask_cuDF, XGBoost...](https://github.com/rapidsai/notebooks-contrib/tree/master/getting_started_notebooks/intro_tutorials) | ||
| - Also see **[Notebooks](#notebooks)** | ||
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| ## Notebooks | ||
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| - [cuML example notebooks](https://github.com/rapidsai/notebooks/tree/master/cuml) | ||
| - [Intermediate level notebooks](https://github.com/rapidsai/notebooks-contrib/tree/master/intermediate_notebooks) | ||
| - [Advanced level notebooks](https://github.com/rapidsai/notebooks-contrib/tree/master/advanced_notebooks/tutorials) | ||
| - [DBScan notebook](https://github.com/rapidsai/notebooks/blob/master/tutorials/DBSCAN_Demo_Full.ipynb) | ||
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| ## Librares | ||
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| - cuSpatial: Spatiotemporal Processing using CUDA | [blog](https://medium.com/rapids-ai/releasing-cuspatial-to-accelerate-geospatial-and-spatiotemporal-processing-b686d8b32a9) | [GitHub](https://github.com/rapidsai/cuspatial) | ||
| - See other [CUDA libraries](https://docs.nvidia.com/cuda-libraries/index.html) | ||
| - See other [NVIDIA libraries](https://developer.nvidia.com/nvidia-management-library-nvml) | ||
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| ## Webinars: | ||
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| - Accelerating Python in Banking: [Video](http://go.nvidianews.com/dc/Ty58ol2Ube3I8pgmu_WArvStj6XbWRGXWkAZY1LzhWTzLXNHPKS0BV7BGSc_UfLnrsN9qjvyMiH8wtAcnwkDDJE_zyT20X09IhXpUleXnkormNn_I7YN7wCQbIT2P_Y67fyNRPBnfaI7L9zGOJhCom0G7IhBu0tm6dtU1yJ3Hi3MgnKoJ-9JiyUSQYldQvKh-SCGl0PxIVWPv8SGIN1RfB85dtbGPENq_oQmFGMrrdQ=/x0O0020g0DVb6MF0uEm7RNn) | [Slides](https://info.nvidia.com/rs/156-OFN-742/images/FS%20Webinar%20Deck.pdf) | ||
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| - Accelerating time to value with XGBoost on NVIDIA GPUs: [Video](http://go.nvidianews.com/dc/Ty58ol2Ube3I8pgmu_WArvStj6XbWRGXWkAZY1LzhWTzLXNHPKS0BV7BGSc_UfLnrsN9qjvyMiH8wtAcnwkDDFDtKliOU6Zkt26zjxUl0_65UUdvWmEP_nGV2zaig74zMzbXHBd3ZGsItQME0RixBzSo3sucCenUbYn1ddp8kKSRKyuAw9l1B7ovytLEJfu-I7ZYlDZlwMLPj8Nl0wpOUsXgTACAIyem682A91XzX0E=/s011b6W0RFME0O2nm700E0N) | [Slides](https://info.nvidia.com/rs/156-OFN-742/images/NVIDIA_XGBoost-webinar-20190627.pdf) | ||
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| - See other [NVIDIA Webinars](https://www.nvidia.com/en-gb/about-nvidia/webinar-portal/) | ||
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| ## Developers | ||
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| - [RAPIDS](https://www.developer.nvidia.com/rapids) | ||
| - [](https://devblogs.nvidia.com/gpu-accelerated-analytics-rapids/) | ||
| - [RAPIDS: The Rise of Notebooks Extended](https://news.developer.nvidia.com/rapids-the-rise-of-notebooks-extended/) | ||
| - [cyBERT: Neural network, that’s the tech; To free your staff from, bad regex](https://news.developer.nvidia.com/cybert-rapids-ai/) | ||
| - [NVIDIA RAPIDS Accelerates Kubeflow Pipeline with GPUs on Kubernetes](https://news.developer.nvidia.com/nvidia-rapids-accelerates-kubeflow-pipeline-with-gpus-on-kubernetes/) | ||
| - [Run RAPIDS on Google Colab — For Free](https://news.developer.nvidia.com/run-rapids-on-google-colab/) | ||
| - [NVIDIA Launches GPU-Acceleration Platform for Data Science, Volvo Selects NVIDIA DRIVE](https://blogs.nvidia.com/blog/2018/10/10/gtc-europe-keynote-rapids-volvo-clara-ai/) | ||
| - [RAPIDS: NVIDIA Developer Blog](https://devblogs.nvidia.com/tag/rapids/) | ||
| programming-and-performance/nvidia-rapids-/) | ||
| - [Run RAPIDS on Kubernetes env](https://devtalk.nvidia.com/default/topic/1068597/run-rapids-on-kubernetes-env/?offset=1) | ||
| - [Install RAPIDS on Jetson TX2](https://devtalk.nvidia.com/default/topic/1069140/install-rapids-on-jetson-tx2/?offset=2) | ||
| - [RAPIDS Forum](https://devtalk.nvidia.com/default/topic/1066888/cuda-) | ||
| - [RAPIDS YouTube channel](https://www.youtube.com/playlist?list=PL5B692fm6--tQAPcRgSpE6FxPqQi5VtwE) | ||
| - [RAPIDS Community](https://rapids.ai/community.html) | ||
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| ### Drivers | ||
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| - [GeForce Drivers](https://www.geforce.co.uk/drivers) | ||
| - [Download Drivers](https://www.nvidia.co.uk/Download/index.aspx?lang=en-uk) | ||
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| ## Other resources | ||
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| - [AI Computing Model](https://www.nvidia.com/en-gb/about-nvidia/ai-computing/) | ||
| - [Technologies](https://www.nvidia.com/en-gb/technologies/) | ||
| - [Cloud and Data center](https://www.nvidia.com/en-gb/data-center/) | ||
| - [Research at NVIDIA](https://www.nvidia.com/en-us/research/) | ||
| - [Autonomous Machines](https://www.nvidia.com/en-gb/autonomous-machines/) | ||
| - [Deep Learning & AI](https://www.nvidia.com/en-gb/deep-learning-ai/) | ||
| - [Design and Pro Visualisation](https://www.nvidia.com/en-gb/design-visualization/) | ||
| - **Gaming** | ||
| - [GeForce Gaming](https://www.nvidia.com/en-gb/geforce/) | ||
| - [Shield](https://www.nvidia.com/en-gb/shield/) | ||
| - [Support](https://www.nvidia.com/en-gb/support/) | ||
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| # Contributing | ||
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| Contributions are very welcome, please share back with the wider community (and get credited for it)! | ||
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| Please have a look at the [CONTRIBUTING](../../CONTRIBUTING.md) guidelines, also have a read about our [licensing](../../LICENSE.md) policy. | ||
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| --- | ||
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| Back to [Cloud/DevOps/Infras page](../../README.md) |