Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.

NVIDIA's CUDA (Compute Unified Device Architecture) makes programming and using thousands of simultaneous threads straightforward. CUDA turns workstations, clusters—and even laptops—into massively ...

Over the past few years, investors have witnessed in real time how breakthroughs in artificial intelligence (AI) have sparked ...

In this special guest feature from Scientific Computing World, Robert Roe investigates AMD’s new suite of open-source tools that convert code from CUDA into C++. As HPC clusters and software increase ...

House of Zen promises 3.5x improvement in inference and 3x uplift in training perf over last-gen software AMD closed the performance gap with Nvidia's Blackwell accelerators with the launch of the ...

Nvidia has placed Warp under an Apache 2 license. The Python framework is used for performance-hungry physical simulations, data generation and spatial computing. It compiles Python functions just in ...

Nvidia may be best-known for its GPUs, but the company's CUDA software architecture is the driving force behind the company's dominance. By offering a comprehensive ecosystem across hardware and ...

Over the past few years, Nvidia has cemented its position as the undisputed leader in artificial intelligence (AI). Its graphics processing units (GPUs) are more than just hardware -- they serve as ...