Valar Atomics Powers Nvidia Chip with Nuclear Reactor

Valar Atomics has achieved a US first by powering an Nvidia AI chip with a 100kW nuclear reactor, showcasing a new path for sustainable AI infrastructure.

8 min read
Isaiah Taylor, CEO of Valar Atomics, speaks about powering an Nvidia chip with a nuclear reactor.
Bloomberg Technology

In a significant development for AI infrastructure, Valar Atomics has achieved a US first by powering an Nvidia AI chip with a nuclear reactor. This collaboration between the two companies signals a potential shift in how the ever-increasing power demands of artificial intelligence might be met.

Visual TL;DR. AI's Growing Energy Needs addresses Valar Atomics Reactor. Valar Atomics Reactor powers Powers Nvidia Chip. Powers Nvidia Chip is a US First Achievement. US First Achievement enables Sustainable AI Infrastructure.

Related startups

  1. AI's Growing Energy Needs: artificial intelligence requires significant and increasing amounts of power
  2. Valar Atomics Reactor: 100kW advanced nuclear reactor developed by Valar Atomics
  3. Powers Nvidia Chip: demonstration successfully powered an Nvidia AI chip
  4. US First Achievement: first time a nuclear reactor powered an AI chip in the US
  5. Sustainable AI Infrastructure: potential for a new path for sustainable AI infrastructure
  6. Rapid Small-Step Development: company philosophy of moving quickly in small, intentional steps
  7. Emery County, Utah: location where the demonstration took place
Visual TL;DR
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The demonstration, conducted in Emery County, Utah, utilized Valar Atomics' 100-kilowatt advanced nuclear reactor. Valar Atomics CEO, Isaiah Taylor, highlighted the company's philosophy of rapid, small-step development, stating, "We like to take small steps quickly, right? So this is a small demonstration. This reactor only makes 100 kilowatts. That's very intentional. It's part of our philosophy, we like to move quickly and in small steps, right? So this is a small demonstration, but it is a big first."

The full discussion can be found on Bloomberg Technology's YouTube channel.

Nuclear Reactor Powers Nvidia AI Chip in US First - Bloomberg Technology
Nuclear Reactor Powers Nvidia AI Chip in US First, from Bloomberg Technology

Pioneering Nuclear AI Power

Taylor elaborated on the historical significance of the achievement, noting, "It's the first time an advanced nuclear reactor has been built in American soil outside of the national lab system and we actually became the first ever startup to make nuclear electricity and then power an AI chip." He emphasized that this successful demonstration is a crucial step towards realizing the potential of nuclear energy for AI computation.

The Advantage of High-Temperature Reactors

Discussing the technology behind the achievement, Taylor explained the benefits of Valar Atomics' approach. "What's interesting about this is the technology itself. Right? Could you just bring us up to date on where the technology stands today? I appreciate you've outlined it was a first. But the challenges of scaling, the benefits of using that technology relative to other energy sources."

Taylor further detailed the specific advantages of their high-temperature gas reactors. "Nuclear has been around for a long time. We've built these very large scale plants that have made a lot of electricity. But the problem with them is that they haven't scaled very well. They take a long time to build. They use a lot of civil infrastructure. And these were things that were not as good at in the United States anymore. So the philosophy of Valar Atomics is we want to build modular plants that are manufactured and the other really unique thing is that they are high-temperature reactors."

He continued, "And those high-temperature reactors are actually really good for both efficiency and for things like air cooling. So a lot of the power debate and AI scaling debate right now is how do we do this without having to take a lot of water usage. One of the best ways to do that is just to raise the temperature of the reactor, which means that you don't need water cooling anymore. And that was part of our announcement yesterday."

Addressing AI's Energy Needs

Taylor connected this technological capability to the broader needs of the AI sector. "And Nvidia has been speaking publicly a lot about their thinking on the economics of cooling through different technology sets. It is a big focus. They've tried to dispel some of the misunderstandings that's out there. And how does your technology work in that respect? And how unique is it in the field?"

Taylor elaborated on how Valar Atomics' approach addresses these challenges: "So there's two sides of this equation. Right? We need to get the energy generation side to be waterless, and we need to get the data center cooling side to be waterless. And that's why this collaboration with Nvidia is really exciting to us. We realized that we're working on the problem from different angles. We're working on a nuclear reactor that doesn't need water cooling, and Nvidia has done a lot of fundamental work on scale and the architecture of their DSX architecture, they've done a lot of this really fundamental work on scale. And we know that energy has been missing, you know, natural gas is going to be a bridge. It's going to be a good bridge, but it only goes so far. And we continue to have climate change questions associated with that. And so if we really want to scale, especially outside of the existing natural gas infrastructure in terms of pipelines, we're going to have to do that with uranium."

Future Milestones and Collaboration

Looking ahead, Taylor outlined Valar Atomics' strategy. "We're going to do that with uranium. We have about 45 seconds to end. Demo one, a single spark, what are the milestones that come next in terms of scaling the demo infrastructure at different levels?"

Taylor concluded by emphasizing their development strategy: "Valar Atomics likes to take small steps quickly. We're going to go build another reactor. The next one is going to be a lot more powerful than this one. And we'll take the next step in demonstration on the compute side as well. So stay tuned in the next six to 12 months."

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