Follow along below for all the latest updates about Nvidia’s DLSS 5 upgrades. Jensen Huang, on the critical reaction to DLSS 5: “Well, first of all, they’re completely wrong.” “The reason for that is ...

CUDA allowed NVIDIA GPUs to do what CPUs never could—fast, parallel computation for AI and machine learning. Analysts say this breakthrough laid the foundation for modern AI applications. From ...

Apple has long built its brand around a tightly integrated hardware and services ecosystem. In AI and high-performance computing (HPC), however, the platform has been limited by the absence of support ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

What does a $20 billion acquisition mean for the future of AI hardware? That’s the question on everyone’s mind as NVIDIA, a titan in the tech world, officially acquires Groq, a rising star in AI ...

The debate of AMD (NASDAQ: AMD) versus Nvidia (NASDAQ: NVDA) hardware for tasks like gaming or PCs is one that could wage forever. But the debate of Nvidia versus AMD hardware for artificial ...

On Monday, President Trump announced via Truth Soc ial that he will approve the sale of Nvidia’s (NVDA) H200 chips to certain companies in China and other countries. The move is a positive for Nvidia, ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering, tightening ...

Nvidia’s Blackwell systems sales are “off the charts” according to CEO Jensen Huang, but analysts see fast growth for custom AI chips, known as ASICs. These smaller, cheaper, more narrowly focused AI ...

Nvidia defended the economics of the artificial intelligence spending boom after "Big Short" investor Michael Burry questioned the life cycle of its advanced chips and whether buyers will ever see a ...