RAPIDS

Aug 22, 2025

How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows

Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make...
7 MIN READ
Aug 22, 2025

NVIDIA Hardware Innovations and Open Source Contributions Are Shaping AI

Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. These models are...
8 MIN READ
Aug 07, 2025

Efficient Transforms in cuDF Using JIT Compilation

RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code...
9 MIN READ
Aug 07, 2025

Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0

Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long...
7 MIN READ
Aug 01, 2025

7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows

You've been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10...
8 MIN READ
Jul 23, 2025

Serverless Distributed Data Processing with Apache Spark and NVIDIA AI on Azure

The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from...
9 MIN READ
Jul 18, 2025

3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs

If you work with pandas, you’ve probably hit the wall. It’s that moment when your trusty workflow, so elegant on smaller datasets, grinds to a halt on a...
4 MIN READ
Jul 17, 2025

Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced...
6 MIN READ
Jul 03, 2025

RAPIDS Adds GPU Polars Streaming, a Unified GNN API, and Zero-Code ML Speedups

RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU...
6 MIN READ
Jun 27, 2025

How to Work with Data Exceeding VRAM in the Polars GPU Engine

In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB)...
4 MIN READ
Jun 18, 2025

AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science

NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to...
8 MIN READ
Decorative image.
Jun 12, 2025

Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell

The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an...
7 MIN READ
Picture of moss-covered trees in a forest.
Jun 05, 2025

Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML

Tree-ensemble models remain a go-to for tabular data because they're accurate, comparatively inexpensive to train, and fast. But deploying Python inference on...
11 MIN READ
Jun 02, 2025

Supercharging Fraud Detection in Financial Services with Graph Neural Networks (Updated)

Note: This blog post was originally published on Oct. 28, 2024, but has been edited to reflect new updates. Fraud in financial services is a massive problem....
10 MIN READ
An illustration for RAPIDS.
May 29, 2025

RAPIDS Brings Zero-Code-Change Acceleration, IO Performance Gains, and Out-of-Core XGBoost

Over the past two releases, RAPIDS introduced zero-code-change acceleration for Python machine learning, huge IO performance improvements, larger-than-memory...
10 MIN READ
May 22, 2025

Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML

What does it take to win a Kaggle competition in 2025? In the April Playground challenge, the goal was to predict how long users would listen to a podcast—and...
7 MIN READ