Nvidia outlined plans to scale AI factories and research hubs in Europe, expanded partnerships with Schneider Electric and Siemens and expanded model choices for sovereign AI and NIM Microservices.
Nvidia expands its DGX Cloud Lepton GPU marketplace with the addition of AWS and Microsoft Azure to its roster of providers.
Nvidia said its GB200 NVL72 rack scale systems outperformed Hopper by a wide margin based on MLPerf Training submissions across categories.
Nvidia reported strong first quarter results as its data center demand remains strong. The company’s writedown for H20 chips designed for China was also lower than expected.
Since the start of the generative AI boom, demand for Nvidia GPUs has been insatiable. Nvidia is still raking in cash from its AI infrastructure, but there are few recent developments indicating that the industry is maturing a bit.
Nvidia CEO Jensen Huang said at Computex: "Nothing gives me more joy than when you buy everything from Nvidia. I just want you guys to know that, but it gives me tremendous joy when you buy anything from Nvidia."
Nvidia said its NeMo Microservices are generally available as it aims to enable developers to leverage a "data flywheel" that enables enterprises to scale AI agents.
According to Nvidia, the US government informed the company April 9 that its H20 chips would require a license to be sold in China for the "indefinite future."
When a technology is evolving as fast as artificial intelligence, CFOs and the finance department struggle to crowbar AI infrastructure investments into traditional depreciation models. Here's a look at the moving parts.
Nvidia's GTC conference kicked off with a long keynote from CEO Jensen Huang, a roadmap extending in 2028 and an integrated AI stack that's hard for rivals to match.
Oracle and Nvidia expanded their partnership in a move that will bring Nvidia AI Enterprise, Nvidia Blackwell GB200 NVL72 and agentic AI blueprints to Oracle Cloud Infrastructure.
Nvidia launched DGX Spark, formerly Project Digits, and DGX Stations as it aims to bring AI supercomputers to students, developers, researchers and data scientists.
