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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.
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RAPIDS Release 22.04
RAPIDS Release 22.04
Scaling and simplifying developer experience
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.
Vibhu Jawa
Mar 15
RAPIDS Release 22.02
RAPIDS Release 22.02
Bringing more integration points, expanding functionality, and improving performance.
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.
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
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.
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.
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.
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
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
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
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.
Jacob Tomlinson
Jun 22, 2021
RAPIDS Release 21.06
RAPIDS Release 21.06
RAPIDS Versioning for Continuous Improvement
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
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
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.
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.
Jacob Tomlinson
Apr 9, 2021
RAPIDS Release 0.18
RAPIDS Release 0.18
Checkout the latest features and updates.
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.
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.
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.
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.
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.
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…
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
Akshit Arora
Dec 17, 2020
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