One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

Innovative parallel computing design using domestic hardware underscores Beijing's broader strategy to blunt 'chokepoint' risks in critical tech Computer researchers in China using domestically made ...

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the increased complexity of writing code and the ever-growing demand for compute power.

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

NVIDIA (NVDA) Quantum-X800 InfiniBand for Highest-Performance AI-Dedicated Infrastructure NVIDIA Spectrum-X800 Ethernet for AI-Optimized Networking in Every Data Center NVIDIA Software Distributes ...

In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...