Dubbed the "Nvidia killer," Cerebras' wafer-scale engine has reportedly crushed Nvidia's H200 in raw AI training power: 125 ...

NVIDIA isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...

China business continues to face geopolitical hurdles, which could pose longer-term competitive risks for the AI chipmaker.

Nvidia's graphics processing units (GPUs) are the dominant chips for AI training and inference (or application deployment), ...

But while AI has been Nvidia's latest big market, investors shouldn't expect that gravy train to last forever, as it faces increasing competition in the market for cutting-edge computing hardware.

That's why some of the best stocks to buy on the market are arguably companies that have a hand in this industry. Two of them stand out as among the best investments to make with $1,000 right now: ...

Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...