Data Science

Jan 14, 2026

How to Write High-Performance Matrix Multiply in NVIDIA CUDA Tile

This blog post is part of a series designed to help developers learn NVIDIA CUDA Tile programming for building high-performance GPU kernels, using matrix...

13 MIN READ

Jan 13, 2026

Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics

NVIDIA cuOpt is a GPU-accelerated optimization engine designed to deliver fast, high-quality solutions for large, complex decision-making problems. Mixed...

7 MIN READ

Jan 09, 2026

Multi-Agent Warehouse AI Command Layer Enables Operational Excellence and Supply Chain Intelligence

Warehouses have never been more automated, more data-rich, or more operationally demanding than they are now—yet they still rely on systems that can’t keep...

11 MIN READ

Jan 05, 2026

New Software and Model Optimizations Supercharge NVIDIA DGX Spark

Since its release, NVIDIA has continued to push performance of the Grace Blackwell-powered DGX Spark through continuous software optimization and close...

6 MIN READ

Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.

Dec 31, 2025

AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025

2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI...

4 MIN READ

Dec 17, 2025

Migrate Apache Spark Workloads to GPUs at Scale on Amazon EMR with Project Aether

Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow, require large...

7 MIN READ

Dec 17, 2025

Solving Large-Scale Linear Sparse Problems with NVIDIA cuDSS

Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm...

16 MIN READ

Dec 15, 2025

Reducing CUDA Binary Size to Distribute cuML on PyPI

Starting with the 25.10 release, pip-installable cuML wheels can now be downloaded directly from PyPI. No more complex installation steps or managing Conda...

8 MIN READ

Dec 15, 2025

NVIDIA CUDA-X Powers the New Sirius GPU Engine for DuckDB, Setting ClickBench Records

Sirius, an open-source GPU native SQL engine, achieved a new performance record on Clickbench—a widely used analytics benchmark. Developed by University of...

7 MIN READ

Dec 15, 2025

How to Train Scientific Agents with Reinforcement Learning

The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling...

13 MIN READ

Dec 05, 2025

NVIDIA Kaggle Grandmasters Win Artificial General Intelligence Competition

NVIDIA researchers on Friday won a key Kaggle competition many in the field treat as a real-time pulse check on humanity’s progress toward artificial general...

3 MIN READ

Dec 04, 2025

NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains

NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release,...

11 MIN READ

Dec 04, 2025

Simplify GPU Programming with NVIDIA CUDA Tile in Python

The release of NVIDIA CUDA 13.1 introduces tile-based programming for GPUs, making it one of the most fundamental additions to GPU programming since CUDA was...

7 MIN READ

Dec 04, 2025

Focus on Your Algorithm—NVIDIA CUDA Tile Handles the Hardware

With its largest advancement since the NVIDIA CUDA platform was invented in 2006, CUDA 13.1 is launching NVIDIA CUDA Tile. This exciting innovation introduces a...

5 MIN READ

Nov 24, 2025

Model Quantization: Concepts, Methods, and Why It Matters

AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address...

12 MIN READ

Nov 19, 2025

Breaking Through Reinforcement Learning Training Limits with Scaling Rollouts in BroRL

When training large language models (LLMs) with reinforcement learning from verifiable rewards (RLVR), one of the most compelling questions is how to overcome...

7 MIN READ