Data Science

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 06, 2025
What’s New and Important in CUDA Toolkit 13.0
The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it...
18 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 24, 2025
Optimizing Vector Search for Indexing and Real-Time Retrieval with NVIDIA cuVS
AI-powered search demands high-performance indexing, low-latency retrieval, and seamless scalability. NVIDIA cuVS brings GPU-accelerated vector search and...
7 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 17, 2025
New Learning Pathway: Deploy AI Models with NVIDIA NIM on GKE
Get hands-on with Google Kubernetes Engine (GKE) and NVIDIA NIM when you join the new Google Cloud and NVIDIA community.
1 MIN READ

Jul 14, 2025
Upcoming Livestream: Techniques for Building High-Performance RAG Applications
Discover leaderboard-winning RAG techniques, integration strategies, and deployment best practices.
1 MIN READ

Jul 11, 2025
Forecasting the Weather Beyond Two Weeks Using NVIDIA Earth-2
Being able to predict extreme weather events is essential as such conditions become more common and destructive. Subseasonal climate forecasting—predicting...
9 MIN READ

Jul 10, 2025
From Terabytes to Turnkey: AI-Powered Climate Models Go Mainstream
In the race to understand our planet’s changing climate, speed and accuracy are everything. But today’s most widely used climate simulators often struggle:...
7 MIN READ

Jul 09, 2025
Delivering the Missing Building Blocks for NVIDIA CUDA Kernel Fusion in Python
C++ libraries like CUB and Thrust provide high-level building blocks that enable NVIDIA CUDA application and library developers to write speed-of-light code...
5 MIN READ

Jul 07, 2025
Think Smart and Ask an Encyclopedia-Sized Question: Multi-Million Token Real-Time Inference for 32X More Users
Modern AI applications increasingly rely on models that combine huge parameter counts with multi-million-token context windows. Whether it is AI agents...
8 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

Jul 01, 2025
Per-Tensor and Per-Block Scaling Strategies for Effective FP8 Training
In this blog post, we’ll break down the main FP8 scaling strategies—per-tensor scaling, delayed and current scaling, and per-block scaling (including the...
10 MIN READ