cuDF

Apr 17, 2025

Grandmaster Pro Tip: Winning First Place in Kaggle Competition with Feature Engineering using NVIDIA cuDF-pandas

Feature engineering remains one of the most effective ways to improve model accuracy when working with tabular data. Unlike domains such as NLP and computer...
5 MIN READ
Apr 10, 2025

Efficiently Scaling Polars GPU Parquet Reader

When working with large datasets, the performance of your data processing tools becomes critical. Polars, an open-source library for data manipulation known for...
4 MIN READ
A diagram of how JSON data is processed.
Feb 20, 2025

JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF

JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications and large language models...
10 MIN READ
Feb 06, 2025

Get Started with GPU Acceleration for Data Science

In data science, operational efficiency is key to handling increasingly complex and large datasets. GPU acceleration has become essential for modern workflows,...
8 MIN READ
A diagram of how JSON data is processed.
Jan 29, 2025

Accelerating JSON Processing on Apache Spark with GPUs

JSON is a popular format for text-based data that allows for interoperability between systems in web applications as well as data management. The format has...
9 MIN READ
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
Decorative image.
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