Nuclear AI data centers hit milestones, face hurdles

Valor Atomics spearheaded early advancements in small modular nuclear reactors by securing an initial $19 million seed round to build their prototype, followed by a substantial $130 million Series A in late 2025 that enabled them to transition from construction to reactor startup. CEO Isaiah Taylor emphasized a pragmatic, milestone-driven approach, focusing on achievable six to twelve-month goals while maintaining a long-term vision to revolutionize energy markets. This foundation set the stage for rapid technical progress and scaling ambitions.

Radiant made historic strides by developing the first new nuclear reactor design to reach criticality at Idaho National Laboratory since 1977, backed by over $300 million in funding from Boost and Draper Associates. Their ambitious plans include constructing an 80-acre mass production facility on Department of Energy land in Tennessee, signaling a pivot toward scalable manufacturing. Early market validation came through orders from AI data center giant Equinix for 20 units and contracts with the U.S. Air Force, underscoring diversified demand for portable nuclear reactors in AI and defense sectors.

By mid-2026, Valor Atomics had dramatically accelerated development cycles, achieving criticality of their Ward 250 helium-cooled microreactor in just seven months and demonstrating its capability by powering an Nvidia Blackwell AI desktop live. This breakthrough marked the first Triso reactor startup in the U.S. in over 50 years and validated Valor’s novel approach emphasizing rapid hardware iteration and manufacturing scale to drive down nuclear energy costs by an order of magnitude. With a $1 billion equity raise led by Sequoia and a $6 billion valuation, Valor is aggressively pursuing large-scale 'gigasite' nuclear campuses designed to deliver gigawatts of cheap, reliable power rapidly to attract AI data center loads.

Aalo Atomics exemplifies the new pace of nuclear innovation, achieving first criticality of their sodium-cooled Aalo-X test reactor on July 4, 2026, less than eight months after groundbreaking and surpassing federal targets set by the 2025 Executive Order 14301. Founded in 2023 and backed by over $136 million, Aalo’s milestone validated key technical systems and supply chains, paving the way for their commercial 50 MWe Aalo Pod reactors tailored for AI data center co-location. This success reflects the impact of public-private partnerships and aggressive timelines in accelerating advanced reactor deployment for AI infrastructure.

By late 2025, Radiant had already forged a significant partnership with Equinix, securing an order for 20 modular nuclear reactors to power AI data centers, signaling early commercial validation of nuclear energy’s role in AI infrastructure. Simultaneously, Radiant’s collaboration with the U.S. Air Force through the Defense Innovation Unit underscored the strategic breadth of nuclear partnerships, spanning both commercial and military applications.

In mid-2026, Valar Atomics emerged as a pivotal player by partnering with Nvidia to demonstrate nuclear-powered AI computing, notably powering an Nvidia Blackwell desktop PC with its Ward 250 microreactor. This collaboration extended beyond demonstration, with plans to build a 30 MW helium-cooled, water-independent AI data center in Utah, reflecting a sustainable and grid-independent approach to meeting AI’s escalating energy demands.

The strategic alliance between Crusoe and Aalo Atomics, announced in mid-2026, marked a pioneering effort to build the world’s first nuclear-powered AI data center at Idaho National Laboratory by 2027, with ambitions to scale to commercial 50 MWe nuclear-powered AI factories by 2029. This partnership exemplifies a staged, risk-managed approach to nuclear integration, combining Aalo’s advanced small modular reactors with Crusoe’s modular data center technology to address AI’s insatiable power needs reliably and cleanly.

These collaborations, including Nvidia’s reported $50 billion lease at Hut 8’s Beacon Point campus, illustrate a broader industry shift towards vertically integrated AI infrastructure platforms that unify compute architecture, financing, construction, power generation, and operations. By moving beyond traditional isolated data centers, companies like Nvidia, Crusoe, and their nuclear partners are pioneering scalable, efficient AI 'factories' that leverage modular nuclear reactors to overcome grid constraints and power AI at unprecedented scale.

Since early 2026, federal regulatory reforms and executive actions have dramatically accelerated the deployment of advanced nuclear reactors, particularly small modular reactors (SMRs), as a backbone for AI data center expansion. The Trump administration’s Executive Order 14301 and related programs like the Reactor Pilot Program and Advanced Reactor Demonstration Program (ARDP) set aggressive deadlines and fostered public-private partnerships, enabling companies such as Aalo Atomics to achieve reactor criticality in record time—less than eight months—well ahead of the July 4, 2026 target. This regulatory momentum, supported by streamlined licensing processes and collaboration with DOE national labs like Idaho National Laboratory, has created a new market segment focused on modular reactors co-located with AI data centers, distinct from traditional grid-scale nuclear projects.

Complementing regulatory advances, substantial federal funding and financial support have further catalyzed nuclear deployment for AI infrastructure. The Department of Energy’s recent $94 million initiative targets site preparation, licensing, and supply chain development, while a $17.5 billion loan program aims to streamline commercial reactor construction. Additionally, a $200 million program launched under the Trump administration specifically accelerates nuclear reactor development for AI data centers, involving key players like Oklo Inc. and X-Energy Inc., and allocates $60 million to DOE labs and academic institutions to reduce construction and licensing timelines. Tech giants such as Microsoft and Nvidia are also partnering in these efforts, committing investments to power generation and grid upgrades to support the surging electricity demands of AI data centers.

Regulatory agencies have taken concrete steps to facilitate nuclear projects near AI data centers by revising licensing and environmental review rules and granting critical approvals. The Nuclear Regulatory Commission’s publication of a draft environmental assessment and finding of no significant impact for the Christopher M. Crane Clean Energy Center’s 2027 restart, alongside the Federal Energy Regulatory Commission’s waiver allowing transfer of 760 megawatts of interconnection rights, exemplify this progress. These measures, combined with proposed extensive revisions to reactor licensing protocols, create a more favorable environment for nuclear reactor construction and integration with AI data centers, although commercial licensing for reactors on non-federal land remains a significant challenge due to historically lengthy NRC processes.

By the second half of 2025, nuclear power evolved from a strategic option to a financeable baseline for AI data centers, providing unmatched multi-gigawatt baseload stability that shields facilities from grid volatility and policy fluctuations. This transition marked a pivotal market validation as investors began viewing nuclear-powered AI data centers as long-term, sovereign-scale infrastructure assets, shifting the narrative from speculative strategy to operational infrastructure with significant economic and security implications.

The emergence of gigawatt-scale AI data center projects powered by nuclear energy has been propelled by major tech players like Microsoft, Google, and Amazon, all committing to 100% carbon-free power by 2030. Innovations such as NuScale’s 'Share a Fence Line' concept, which enables direct on-site connections between AI campuses and small modular reactors (SMRs), are revolutionizing energy infrastructure by circumventing traditional grid interconnection delays, thus accelerating deployment and commercial viability.

Valar Atomics exemplifies the market’s robust confidence in nuclear-powered AI infrastructure, having secured a $1 billion equity funding round led by Sequoia’s Shaun Maguire and achieving a $6 billion valuation by mid-2026. Their pioneering efforts include powering an Nvidia Blackwell AI chip with their Ward 250 microreactor and advancing plans for a 30MW closed-loop AI data center in Utah, underscoring a strategic focus on rapid gigawatt-scale deployments that prioritize speed and scale—elements long missing from the nuclear industry.

Large-scale public-private partnerships and federal initiatives have crystallized the commercial potential of nuclear-powered AI data centers, highlighted by the $2 billion Savannah River Site project led by DC BLOX and Amentum, which plans a 1-gigawatt AI campus transitioning from natural gas to advanced nuclear energy. Complementing this, the Trump administration’s $200 million push involving Oklo and X-Energy, alongside binding power purchase agreements with Microsoft, Walmart, and Google, reflect a coordinated effort to fast-track advanced nuclear deployment, reduce licensing times, and integrate vertically coordinated infrastructure platforms that combine compute, power generation, and financing into unified ecosystems.

Despite the promising potential of nuclear-powered AI data centers to deliver low-carbon, baseload power, they face significant regulatory and public perception challenges that slow their expansion. Valar Atomics' partnership with Nvidia to develop grid-independent 'gigasite' campuses in Utah exemplifies efforts to circumvent grid interconnection issues, yet the broader nuclear industry remains hampered by overregulation rooted in historical incidents like Three Mile Island. As one analyst noted in July 2026, 'what's holding us back is regulation,' underscoring that regulatory inertia, rather than technological capability, is the primary bottleneck to scaling nuclear solutions for AI infrastructure.

The path to commercial deployment is further complicated by the lengthy and complex Nuclear Regulatory Commission (NRC) licensing process, especially for reactors sited off government land. While Aalo has achieved criticality under the DOE Reactor Pilot Program—a key engineering milestone—this does not equate to commercial licensing, which historically takes years rather than months. Crusoe’s cautious, staged approach, testing a live pilot at Idaho National Laboratory in 2027 before committing to broader deployment by 2029, reflects an industry-wide recognition of the financial, regulatory, and technical risks inherent in scaling nuclear-powered AI infrastructure.

Looking ahead, industry leaders like Crusoe’s co-founder Cully Cavness emphasize nuclear energy’s unique ability to provide reliable, abundant, and clean power at scale—qualities essential for the next generation of AI infrastructure. This long-term vision positions nuclear as a carbon-free backbone capable of overcoming limitations faced by grid-connected renewables, such as interconnection queues and transmission constraints. However, significant risks remain, notably capital cost overruns and the unproven nature of factory-built modular reactors at the volumes required to meet ambitious 2029 deployment targets, which could delay or derail the scaling of multiple 50MWe units.