A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

To register for a course and other upcoming training courses: Visit the UTSA Human Resources Training & Development website. Choose Search/Enroll/Withdraw, select the CT (computer/web) category from ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Key changes make GPUs easier to program, more efficient, and harder for rivals to replace. New features enhance AI development, further locking developers into Nvidia's ecosystem. Nvidia ( NVDA) had ...

Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Jensen Huang, NVIDIA, and the World’s Most Coveted Microchip stands apart from most books written about artificial ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Jennifer Findley, an international art advisor and founder of the JFiN Collective, has built a career at the intersection of ...

Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...

Most recently, successful, more transparent AI language models came from Chinese developers. With Nemotron 3 Nano, Nvidia is ...