RAPIDS

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
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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
Mar 11, 2025

Efficient ETL with Polars and Apache Spark on NVIDIA Grace CPU

The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The...
7 MIN READ
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Mar 06, 2025

Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change

The NVIDIA RAPIDS Accelerator for Apache Spark software plug-in pioneered a zero code change user experience (UX) for GPU-accelerated data processing. It...
5 MIN READ
Stock board
Mar 04, 2025

GPU-Accelerate Algorithmic Trading Simulations by over 100x with Numba

Quantitative developers need to run back-testing simulations to see how financial algorithms perform from a profit and loss (P&L) standpoint. Statistical...
12 MIN READ
Feb 27, 2025

High-Performance Remote IO With NVIDIA KvikIO

Workloads processing large amounts of data, especially those running on the cloud, will often use an object storage service (S3, Google Cloud Storage, Azure...
9 MIN READ