The danger of AI is not that it will become conscious and hate us, but that it will become competent and ignore us."
—Eliezer Yudkowsky
Latest corporate news, GPU platform announcements, Blackwell chip scaling, and market leadership developments from NVIDIA.
Cambridge-based CuspAI has launched the AI Materials Foundry, a coalition of more than 45 tech giants and research groups including NVIDIA, Meta, Samsung and Hyundai Motor Group, alongside a $450 million Series B that values the two-year-old startup at $2.6 billion.
From rendering video game graphics to powering nearly every AI model on the planet, NVIDIA’s rise is no accident. We break down the three-decade stack of bets — GPUs, CUDA, and now open models — that made one chipmaker the most valuable company in history.
Beyond the corporate scorecard, the numbers point to a quieter shift: open model families are becoming the default foundation on which academic AI research is now built, with one chip-maker sitting squarely at the centre of it.
NVIDIA and Palantir have joined forces to deploy Nemotron open models inside secure, air-gapped environments for US government agencies and critical infrastructure operators.
NVIDIA says its Rubin-generation DSX reference design can run AI data centres on a closed-loop liquid cooling system with near-zero water use, a claim that has drawn praise from Elon Musk and Aravind Srinivas.
A new study from NVIDIA Research and Rutgers University warns that training AI agents to chase visible metrics such as KPIs and profit-and-loss can override their built-in safety alignment , but only when the agent must read the dashboard to know what pays off.
Cerebras nearly doubled first-quarter revenue and narrowed its net loss in its first earnings report as a public company, driven by growing demand for AI inference infrastructure. The company is expanding its footprint through a multi-year OpenAI agreement valued at more than $20 billion and a partnership with Amazon Web Services.
Indium phosphide, a compound semiconductor made from indium and phosphorus, has become a critical enabler of the optical chips that move data inside AI data centres.
The companies will combine NVIDIA’s AI platforms with Doosan’s expertise in robotics, energy and industrial systems.
Nvidia has released a collection of open-source physical AI skills and tools that enable coding agents to automate workflows across robotics, autonomous vehicles, vision AI and industrial digital twins.
