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RAPIDS AI

RAPIDS is a suite of software libraries for executing end-to-end data science & analytics pipelines entirely on GPUs.

  • RAPIDS Releases
  • DataFrames
  • Machine Learning
  • Data Visualization
  • Graph Analytics
  • NLP
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  • RAPIDS Release 22.04

    RAPIDS Release 22.04

    Scaling and simplifying developer experience
    Go to the profile of Sophie Watson
    Sophie Watson
    Apr 14
    Accelerating Topic modeling with RAPIDS and BERT models

    Accelerating Topic modeling with RAPIDS and BERT models

    Topic modeling for text processing, Deep Learning based embedding creation, reduction, and clustering on GPUs.
    Go to the profile of Vibhu Jawa
    Vibhu Jawa
    Mar 15
    RAPIDS Release 22.02

    RAPIDS Release 22.02

    Bringing more integration points, expanding functionality, and improving performance.
    Go to the profile of Sophie Watson
    Sophie Watson
    Feb 9
    RAPIDS Release 21.12

    RAPIDS Release 21.12

    RAPIDS 21.12 strengthens the GPU analytics foundation, improves ecosystem compatibility, and brings new functionality and integrations.
    Go to the profile of Nick Becker
    Nick Becker
    Dec 16, 2021
    Time Moves Forward — RAPIDS Hits Its Three Year Milestone

    Time Moves Forward — RAPIDS Hits Its Three Year Milestone

    Release 21.10 continues to work toward the vision of making GPU speed available to everyone
    Go to the profile of Paul Mahler
    Paul Mahler
    Oct 11, 2021
    Accelerating TF-IDF for Natural Language Processing with Dask and RAPIDS

    Accelerating TF-IDF for Natural Language Processing with Dask and RAPIDS

    Learn how to use RAPIDS and Dask to make NLP pipelines for indexing, summation, and text clustering much faster.
    Go to the profile of Vibhu Jawa
    Vibhu Jawa
    Sep 16, 2021
    A Cook’s Tour of RAPIDS Release 21.08

    A Cook’s Tour of RAPIDS Release 21.08

    We’re excited to announce the release of RAPIDS version 21.08! See the latest core features and community updates.
    Go to the profile of Paul Mahler
    Paul Mahler
    Aug 16, 2021
    Streamline Your Model Builds with PyCaret + RAPIDS on NVIDIA GPUs

    Streamline Your Model Builds with PyCaret + RAPIDS on NVIDIA GPUs

    With GPU acceleration, PyCaret modeling times can be between 2 and 200 times faster depending on the workload.
    Go to the profile of Sofia Sayyah
    Sofia Sayyah
    Aug 12, 2021
    Up and Running with RAPIDS and Paperspace Gradient

    Up and Running with RAPIDS and Paperspace Gradient

    See what kinds of workloads are accelerated with RAPIDS and how to get started right away on Paperspace Gradient
    Go to the profile of David Banys
    David Banys
    Jul 12, 2021
    Accelerating Node.js JavaScript for Visualization and Beyond with RAPIDS on GPUs

    Accelerating Node.js JavaScript for Visualization and Beyond with RAPIDS on GPUs

    Introducing node-RAPIDS
    Go to the profile of Allan Enemark
    Allan Enemark
    Jul 8, 2021
    Build a Fully Interactive Dashboard in a Few Lines of Python

    Build a Fully Interactive Dashboard in a Few Lines of Python

    New Features Added to RAPIDS cuXfilter GPU-Accelerated Cross Filtering Library
    Go to the profile of Allan Enemark
    Allan Enemark
    Jun 30, 2021
    What is the difference between Dask and RAPIDS?

    What is the difference between Dask and RAPIDS?

    Together, Dask and RAPIDS allow you to scale up and scale out production Python workloads at the same time.
    Go to the profile of Jacob Tomlinson
    Jacob Tomlinson
    Jun 22, 2021
    RAPIDS Release 21.06

    RAPIDS Release 21.06

    RAPIDS Versioning for Continuous Improvement
    Go to the profile of Paul Mahler
    Paul Mahler
    Jun 17, 2021
    Making RAPIDS cuDF IO Readers and Writers More Reliable with Fuzz Testing

    Making RAPIDS cuDF IO Readers and Writers More Reliable with Fuzz Testing

    Learn how we’re fuzz testing IO readers and writers with randomly generated data and parameters to catch bugs and improve reliability
    Go to the profile of prem sagar gali
    prem sagar gali
    May 18, 2021
    More Progress for Big Impact in the Latest RAPIDS Release

    More Progress for Big Impact in the Latest RAPIDS Release

    RAPIDS 0.19 Released at GTC Spring 2021
    Go to the profile of Jake Schmitt
    Jake Schmitt
    Apr 26, 2021
    Lookout, nested types are now supported in RAPIDS cuDF!

    Lookout, nested types are now supported in RAPIDS cuDF!

    RAPIDS cuDF release 0.19 introduces improved support for nested types such as lists and structs.
    Go to the profile of Ashwin Srinath
    Ashwin Srinath
    Apr 19, 2021
    Monitoring Dask + RAPIDS with Prometheus + Grafana

    Monitoring Dask + RAPIDS with Prometheus + Grafana

    Use Prometheus and Grafana to instrument your RAPIDS deployment and monitor how your workflows are performing on your system.
    Go to the profile of Jacob Tomlinson
    Jacob Tomlinson
    Apr 9, 2021
    RAPIDS Release 0.18

    RAPIDS Release 0.18

    Checkout the latest features and updates.
    Go to the profile of Alex Ravenel
    Alex Ravenel
    Mar 2, 2021
    Run RAPIDS on Microsoft Windows 10 using WSL 2 — The Windows Subsystem for Linux

    Run RAPIDS on Microsoft Windows 10 using WSL 2 — The Windows Subsystem for Linux

    A tutorial to run RAPIDS and your favorite Linux software, including NVIDIA CUDA, on Windows.
    Go to the profile of Marlene Mhangami
    Marlene Mhangami
    Feb 17, 2021
    Filtered Reading with RAPIDS & Dask to Optimize ETL

    Filtered Reading with RAPIDS & Dask to Optimize ETL

    See why you should push the filtering operation down to the read calls whenever possible.
    Go to the profile of Ayush Dattagupta
    Ayush Dattagupta
    Feb 8, 2021
    RAPIDS Accelerator for Apache Spark v0.3 Release

    RAPIDS Accelerator for Apache Spark v0.3 Release

    This release is focused on improvements in three main areas: performance, functionality, and user experience.
    Go to the profile of Karthikeyan Rajendran
    Karthikeyan Rajendran
    Jan 28, 2021
    More Performance for Less with cuDF Python Scalars

    More Performance for Less with cuDF Python Scalars

    Simply sprinkling RAPIDS cuDF scalars into your workflow can result in nontrivial speedup without any additional code changes.
    Go to the profile of Brandon B. Miller
    Brandon B. Miller
    Jan 27, 2021
    Bursting Data Science Workloads to GPUs on Google Cloud Platform with Dask Cloud Provider

    Bursting Data Science Workloads to GPUs on Google Cloud Platform with Dask Cloud Provider

    Scale RAPIDS from a local machine to a multi-GPU cluster on GCP with Dask. Explore w/ affordable cloud resources and scale when ready.
    Go to the profile of Jacob Tomlinson
    Jacob Tomlinson
    Jan 15, 2021
    GPU Accelerated SHAP values with XGBoost 1.3 and RAPIDS

    GPU Accelerated SHAP values with XGBoost 1.3 and RAPIDS

    TL;DR — With the release of XGBoost 1.3 comes an exciting new feature for model interpretability — GPU accelerated SHAP values. SHAP…
    Go to the profile of Rory Mitchell
    Rory Mitchell
    Jan 12, 2021
    How to Guide: Using RAPIDS on JFrog Artifactory

    How to Guide: Using RAPIDS on JFrog Artifactory

    Covers setup of remote repositories on Artifactory 7.x and RAPIDS conda installation
    Go to the profile of Akshit Arora
    Akshit Arora
    Dec 17, 2020
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