Tech • IA • Crypto
42 articles analyzed by AI / 56 total
NVIDIA announced on July 2, 2026, that it will begin taking a share of revenue from cloud providers, marking a significant shift in the economics of cloud services and impacting how cloud providers and NVIDIA collaborate financially.
A startup demonstrated a nuclear microreactor live on stage powering an Nvidia RTX Spark desktop PC, while collaborating with Nvidia to build a 30MW closed-loop AI factory that uses no local water, signaling innovation in sustainable AI infrastructure energy solutions.
OpenAI plans to develop a 10-GW AI data center in Ohio with support from Nvidia, representing a major infrastructure expansion in AI computing as of June 10, 2026.
On July 2, 2026, Nvidia introduced a revenue-sharing financing program targeting AI cloud providers, aiming to accelerate adoption of Nvidia’s AI and data center solutions through flexible payment structures linked to revenue.
Legrand delivered an Nvidia-powered supercomputer to Yerevan State University in Armenia on July 2, 2026, enhancing the university’s computational research capabilities and demonstrating Nvidia’s growing role in academic data centers.
Singapore authorities seized a $42 million mansion and froze $772,000 in bank accounts related to suspects accused of smuggling Nvidia AI GPU data center servers to China, who now face fraud and money laundering charges, reported on July 2, 2026.
Nvidia partnered with the nuclear energy startup Valar Atomics to test microreactor technology powering AI data centers, a pioneering effort to enhance sustainability and reliability in high-performance computing energy on July 2, 2026.
On July 2, 2026, Nvidia announced a new revenue-sharing model for AI startups that allows them to exchange computing power for a share of future profits, offering an alternative to token-based funding and providing easier access to Nvidia’s hardware and infrastructure.
Nvidia is serving as a financial backstop for customer GPUs by taking a share of cloud service revenue, indicating a strategic move to deepen its involvement in cloud infrastructure and monetization of AI hardware deployments.
Nvidia introduced a new liquid cooling system aimed at significantly reducing water consumption in AI data centers, reflecting the company’s focus on sustainable data center technologies, though experts have urged caution about implementation challenges.