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Startup activates nuclear microreactor live on stage to power an Nvidia RTX Spark desktop PC

The firm is collaborating with Nvidia to construct a 30MW closed-loop AI factory that does not rely on local water sources. The demonstration highlights potential solutions for AI's energy and water demands.

Published 2 July 2026 · ID 2026-07-02-startup-activates-nuclear-microreactor-live-on-stage-to-power-an-nvidia-rtx-spar

A startup demonstrated a nuclear microreactor live on stage, successfully powering an Nvidia RTX Spark desktop PC. This event marked a significant step in the company’s collaboration with Nvidia to develop a 30MW closed-loop AI factory. The reactor, named Ward 250, was activated during a public event, showcasing its ability to supply power to high-performance computing hardware.

The demonstration took place during a live event where the startup, Valar Atomics, highlighted its partnership with Nvidia. A team member plugged an Nvidia RTX desktop unit into the reactor, which was then turned up to 37% of its full power to activate the Blackwell-powered PC. The company also displayed a website that runs solely on a server powered by the reactor, indicating the potential for nuclear energy to support AI infrastructure.

The startup’s approach to using nuclear energy addresses the growing demand for power and water in AI manufacturing. Traditional data centers require significant amounts of water for cooling, but this closed-loop system eliminates the need for local water sources. The 30MW capacity of the AI factory suggests a scalable solution for future AI infrastructure needs.

The implications of this development include potential cost savings from reduced reliance on traditional power grids and water sources. However, the technology may also introduce new challenges related to governance, vendor lock-in, and market adoption. The industry will need to assess the long-term viability and regulatory landscape for nuclear-powered AI infrastructure.

This demonstration signals a shift in how AI infrastructure is powered, with nuclear energy emerging as a viable alternative. As the technology continues to develop, it may influence the broader market, prompting discussions on energy efficiency, sustainability, and the role of alternative power sources in AI manufacturing.

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