Nvidia announced the transformation of data centers into AI factories
Nvidia reported a late series of hardware milestones and modernization to support advancing the company’s aspirations.
The most important technology that will help implement Nvidia’s vision is the company’s Grace superchips. At Computex, Nvidia reported that various hardware vendors, including ASUS, Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn, will build Grace base systems that are supposed to start shipping in the first half of 2023.
Grace superchip should be available in several different configurations. The first alternative is a two-chip architecture connected with Nvidia’s NVLink interconnect. The second concept is called the Grace Hopper Superchip, which connects the Grace CPU with an Nvidia Hopper GPU.
Niteshift, founded by two Datadog veterans, has raised $7M to build a model-agnostic cloud infrastructure layer for AI coding agents, betting that enterprises will want to avoid vendor lock-in with the major AI labs.
PhysicsX, a London-based AI engineering startup, has raised $300M at a $2.4B valuation to scale its physics simulation platform across industries like aerospace, semiconductors, and automotive.
Suno raised $400 million at a $5.4 billion valuation—more than doubling its worth in seven months—despite facing copyright lawsuits from Universal Music Group and Sony alleging unauthorized use of over 61,000 copyrighted works in its AI training data.
OpenAI expanded Codex with six role-specific plugins for jobs like sales and investment banking, a Sites feature for sharing work as hosted interactive webpages, and inline Annotations for targeted edits, as non-developer users grow three times faster than developers on the platform.
Inherent emerged from stealth with a $50M seed round co-led by Index Ventures and Radical Ventures to develop Faraday, an AI system designed to reimagine scientific discovery by enabling open-ended human-AI collaboration on unsolved research problems.
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