cuDF

Jan 13, 2025

Upcoming Webinar: Inside the RAPIDS-Accelerated Polars GPU Engine

In the webinar on January 28th, you'll get an inside look of the new GPU engine to learn how Polars' declarative API and query optimizer enable seamless GPU...
1 MIN READ
Dec 19, 2024

Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for...
11 MIN READ
Dec 19, 2024

RAPIDS 24.12 Introduces cuDF on PyPI, CUDA Unified Memory for Polars, and Faster GNNs

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up groupby aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the...
8 MIN READ
Dec 05, 2024

Unified Virtual Memory Supercharges pandas with RAPIDS cuDF

cuDF-pandas, introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x...
5 MIN READ
Nov 28, 2024

Supercharging Deduplication in pandas Using RAPIDS cuDF

A common operation in data analytics is to drop duplicate rows. Deduplication is critical in Extract, Transform, Load (ETL) workflows, where you might want to...
12 MIN READ
Nov 21, 2024

Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask

As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis...
5 MIN READ
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Oct 08, 2024

NVIDIA CUDA-X Now Accelerates the Polars Data Processing Library

Polars, one of the fastest-growing data analytics tools, has just crossed 9M monthly downloads. As a modern DataFrame library, it is designed for efficiently...
3 MIN READ
Sep 17, 2024

Polars GPU Engine Powered by RAPIDS cuDF Now Available in Open Beta

Today, Polars released a new GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs, allowing data scientists to process...
4 MIN READ
Sep 11, 2024

Scaling Up to One Billion Rows of Data in pandas using RAPIDS cuDF

The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has...
11 MIN READ
Image of a person taking a hands-on lab at GTC
Sep 04, 2024

Hands-On Training at NVIDIA AI Summit in Washington, DC

Immerse yourself in NVIDIA technology with our full-day, hands-on technical workshops at our AI Summit in Washington D.C. on October 7, 2024.
1 MIN READ
Aug 30, 2024

Accelerating Predictive Maintenance in Manufacturing with RAPIDS AI

The International Society of Automation (ISA) reports that 5% of plant production is lost annually due to downtime. Putting that into a different context,...
12 MIN READ
Aug 29, 2024

Just Released: RAPIDS 24.08

RAPIDS 24.08 is now available with significant updates geared towards processing larger workloads and seamless CPU/GPU interoperability.
1 MIN READ
Aug 21, 2024

Build Efficient Recommender Systems with Co-Visitation Matrices and RAPIDS cuDF

Recommender systems play a crucial role in personalizing user experiences across various platforms. These systems are designed to predict and suggest items that...
12 MIN READ
Aug 09, 2024

RAPIDS cuDF Unified Memory Accelerates pandas up to 30x on Large Datasets

NVIDIA has released RAPIDS cuDF unified memory and text data processing features that help data scientists continue to use pandas when working with larger and...
6 MIN READ
May 14, 2024

RAPIDS on Databricks: A Guide to GPU-Accelerated Data Processing

In today's data-driven landscape, maximizing performance and efficiency in data processing and analytics is critical. While many Databricks users are familiar...
10 MIN READ
May 14, 2024

RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab

At Google I/O'24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly...
3 MIN READ