Velar Atomics Nuclear Reactors for AI Power

El Segundo-based startup Velar Atomics has spent the last several years operating deep in the shadows of the AI boom, innovating in nuclear energy to eliminate AI's hidden bottleneck: electricity. In a single sentence, the problem Velar tackles is thorny. Hyperscale data centers — those server farms running AI algorithms — consume enormous amounts of electricity. And renewable energy sources like wind and solar can't keep the power flowing continuously. AI's next leap will depend on a steady supply of energy. That's where Velar's nuclear reactors come in.

The nuclear bet on AI's future

Small modular reactors (SMRs) are the next generation of nuclear power. Unlike traditional nuclear plants, which are custom-built on-site over a decade at a cost of tens of billions of dollars, SMRs are designed for mass production. They're compact, can be prefabricated in factories, and swap out the massive burden of on-site construction with the nimble logistics of commercial airplanes. That's where the true innovation lies: SMRs cost less and can be built much faster than traditional nuclear reactors. Velar Atomics is leading the charge with SMRs. The startup is already building zero-emission nuclear engines designed to plug directly into hyperscale data centers and keep them powered 24 hours a day. Further, the SMRs bypass the construction bottlenecks of traditional nuclear plants, making their nuclear reactors viable for widespread deployment.

Small is the new big

The fleets of tomorrow

The nuclear reactors Velar Atomics is building are a break from tradition. They're small, and many will work together in fleets — those small modular reactors (SMRs) that can power a data center for 24 hours. Velar's strategy for mass production involves building their reactors in factories, moving beyond the site-specific construction that makes traditional nuclear plants so expensive and time-consuming.

The nuclear crossroads

Yet narrowing down to SMRs from traditional nuclear energy isn't without risks. To make the transition to SMRs for AI's data centers, Velar must meet regulatory standards and public acceptance. This is because nuclear energy has been deemed risky, and public debates on nuclear effluents’ safety plague the industry.

The future of AI's energy grid

The power of controlled chains

They are closer to the goal of mass-producing a sustained, controlled nuclear chain reaction. Though challenging, the goal is feasible. Velar has successfully proven a sustained controlled nuclear chain reaction in their test systems through a Department of Energy program. This is a milestone, negating the historical difficulty of transferring nuclear energy inside the power grid.

The role of nuclear reactors in AI's future

AI's future is electric, but the next leap in AI will more likely depend on controlled nuclear fission and mass production of SMRs than renewable energy sources.

How to invest in the next energy frontier

• AI technology investments are still exciting, but focusing on infrastructure, particularly zero-emission nuclear engines, promises a more secure supply of energy for AI.
• The investment in AI infrastructure:
  • AI's future might not depend on better algorithms — it may depend on who generates enough electricity for AI to run 24 hours.
  • AI's power requirements need an immediate solution. Velar Atomics' success in this area implies an investment in nuclear energy rather than AI technology itself.
• Evaluate nuclear reactor technology: Investors should look out for the safety, efficiency, and cost-effectiveness of Velar's SMRs. Evaluate the startup's strategy and commitment to mass-producing zero-emission nuclear engines.
• Ask the right questions: "Who will build the future?" Velar Atomics dare to change the future of nuclear energy, potentially powering AI's future with controlled nuclear reactions and factory-built nuclear reactors.

Powering the AI boom

Valar Atomics is basing its core goal on mass-producing zero-emission nuclear reactors, thereby, solving the energy issues of AI's future, but also challenges traditional renewable energy sources. AI's success and efficiency depend on efficient energy supply, but how long the benefits of clean power will last is tricky. At this point, the only way forward is to turn towards nuclear energy.