RAPIDS AI

GPU-accelerated machine learning is producing fascinating results across a wide range of fields on a seemingly daily basis. While neural…

Authors: Thomson Comer, Michael Wang and Mark Harris

Making sure your holiday season is full of presents.

By: Vibhu Jawa and Randy Gelhausen

by Michael Wang, Thomson Comer, Mark Harris, Ben Jarmak

Ever wish you could apply your own custom functions to string data columns in cuDF? Well, now you can! Recently cuDF introduced support for…

Serving cake, pip, and Windows at our fourth birthday party!

Numba is the Just-In-Time compiler used in RAPIDS cuDF to implement high-performance User-Defined Functions (UDFs) by turning user-supplied…

We’re excited to announce General Availability of Dask-SQL on GPUs! This matters to you because it means more interoperability between data…

We are announcing General Availability for RAPIDS on Windows 11 via WSL, the Windows Subsystem for Linux. Usability is now part of our…

Improved performance, new features, extended functionality and greater stability

RAPIDS 22.06 brings new support for massive graphs, and expands the support for Multi-Node Multi-GPU algorithms.

Scaling and simplifying developer experience

Topic modeling for text processing, Deep Learning based embedding creation, reduction, and clustering on GPUs.

Bringing more integration points, expanding functionality, and improving performance.

RAPIDS 21.12 strengthens the GPU analytics foundation, improves ecosystem compatibility, and brings new functionality and integrations.

Release 21.10 continues to work toward the vision of making GPU speed available to everyone

Learn how to use RAPIDS and Dask to make NLP pipelines for indexing, summation, and text clustering much faster.

We’re excited to announce the release of RAPIDS version 21.08! See the latest core features and community updates.

With GPU acceleration, PyCaret modeling times can be between 2 and 200 times faster depending on the workload.

See what kinds of workloads are accelerated with RAPIDS and how to get started right away on Paperspace Gradient

Introducing node-RAPIDS

New Features Added to RAPIDS cuXfilter GPU-Accelerated Cross Filtering Library

Together, Dask and RAPIDS allow you to scale up and scale out production Python workloads at the same time.