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

It's not about AI. It's about replacing general-purpose computing with what Jensen Huang calls Advanced Computing.

The South Korean government will pursue a dual-track strategy to become one of the world's top three AI powers, advancing both upgrades to domestically produced neural processing units (NPU) and ...

Alaa Mohasseb does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

What if the key to unlocking the full potential of artificial intelligence was sitting right inside your computer? As AI continues to transform industries, from healthcare to creative arts, the tools ...

We may receive a commission on purchases made from links. When it comes to acronym overabundance, Nvidia's computer peripherals are a chief offender. We've already talked about what "RTX" means on an ...

Much attention has been focused in the news on the useful life of graphics processing units, the dominant chips for artificial intelligence. Though the pervasive narrative suggests GPUs have a short ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Nvidia CEO Jensen Huang offered a technical explanation for why he does not believe artificial intelligence is a "bubble" and demand for advanced hardware is real, durable, and justified — not ...