RAPIDS

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
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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
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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
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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
May 19, 2025

Spotlight: Atgenomix SeqsLab Scales Health Omics Analysis for Precision Medicine

In traditional clinical medical practice, treatment decisions are often based on general guidelines, past experiences, and trial-and-error approaches. Today,...
9 MIN READ
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May 15, 2025

Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled

Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup...
10 MIN READ
May 15, 2025

Predicting Performance on Apache Spark with GPUs

The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform...
9 MIN READ
May 08, 2025

Accelerate Deep Learning and LLM Inference with Apache Spark in the Cloud

Apache Spark is an industry-leading platform for big data processing and analytics. With the increasing prevalence of unstructured data—documents, emails,...
10 MIN READ
May 07, 2025

Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator

Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable...
7 MIN READ
May 01, 2025

Stacking Generalization with HPO: Maximize Accuracy in 15 Minutes with NVIDIA cuML

Stacking generalization is a widely used technique among machine learning (ML) engineers, where multiple models are combined to boost overall predictive...
7 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
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Apr 03, 2025

Accelerating Apache Parquet Scans on Apache Spark with GPUs

As data sizes have grown in enterprises across industries, Apache Parquet has become a prominent format for storing data. Apache Parquet is a columnar storage...
8 MIN READ