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

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.

The shift would mark a rare departure from the philosophy that has guided Nvidia for most of its 33-year history: that a ...

Nvidia CEO Jensen Huang sees $1T GPU demand by 2027 as AI inference surges; CUDA ecosystem and cloud partners fuel growth.

'We're Going to Accelerate Everybody,’ Huang Said at the Company's GTC Event ...

By Stephen Nellis and Max A. Cherney SAN JOSE, California, March 16 (Reuters) - Nvidia said the revenue opportunity for its ...

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 ...

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

Extreme photorealism may be just around the corner ...

Nvidia Chief Executive Jensen Huang outlined a huge array of new products at the company's annual GTC conference Monday, both ...

At Nvidia GTC 2026, HPE unveiled new AI systems and services built around Nvidia’s Vera Rubin architecture as well as ...