Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Nvidia CEO Jensen Huang talks up efforts by the AI technology giant to pave the way for self-evolving, multi-agent systems ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Recognizes its top-performing interns at the annual Excellence Gala in Montréal with winners receiving a $2,000 scholarship ...

Anthropic is investing $100 million in a new partner network to help global businesses adopt Claude AI through specialised ...

Nvidia CEO Jensen Huang is set to detail the company’s hardware and software plans to a large crowd in San Jose, California, ...

She Code Africa, a pan-African non-profit focused on increasing women’s participation in technology, has partnered with global tech giant HP ...

A university dedicated exclusively to cybersecurity, located in Wuhan, Central China's Hubei Province, will begin enrolling ...

Nvidia introduced the DGX Station at GTC 2026, a desktop supercomputer with 20 petaflops of AI performance and 748GB of coherent memory that can run trillion-parameter AI models locally without the ...

Struggling to keep your old MacBook running as fast as you want? There are some simple tips you can follow that may help to get more life out of your laptop.

At GTC 2026, Jensen Huang’s real message wasn’t about hardware. It was about inference, agents, and Nvidia’s attempt to define the next phase of the AI economy.