TL;DR · 30-second read
The Short Version
Crusoe, a company that rents out computing power for artificial intelligence, will spend six months testing a small nuclear reactor from startup Aalo alongside one of its compact data centers.
Aalo’s reactor is sized to match the gas-fired generators many of these sites already run on. The test is about whether it can keep the computers running reliably, even as their demand for electricity swings up and down.
If it works, the two companies aim to start building for real in 2029, but first Aalo needs a green light from federal nuclear safety regulators.
Crusoe, a cloud provider built specifically for AI workloads (often called a neocloud), and reactor developer Aalo Atomics will pair Aalo’s small modular reactor (SMR) technology with Crusoe’s modular Spark AI data center for a six-month trial, Fierce Network reported on August 11, 2026. The test will examine the reactor’s capacity factor, meaning how consistently it can run without downtime, along with its ability to follow the fluctuating power draw of AI workloads when combined with battery storage.
Both companies are targeting commercial nuclear-powered AI data center deployments in 2029. Aalo’s first product is the Aalo One Reactor in a 50-megawatt Aalo Pod configuration. Commercial deployment in the United States depends on approval from the Nuclear Regulatory Commission.
Executive Summary
The Crusoe–Aalo trial is a small-scale engineering test, not a power purchase deal. The goal is to find out whether a factory-built reactor and a factory-built data center can be tightly coupled on one site. According to Aalo CEO Matt Loszak, this will be the first time the two types of infrastructure are so closely integrated. Crusoe co-founder Cully Cavness described the work as mostly electrical engineering: controls, monitoring, load profiles and fault conditions running in both directions.
The strategic significance lies in how the reactor is sized. The large nuclear deals signed by the major hyperscalers mostly secure output from existing large plants. Aalo, by contrast, has built its 50-megawatt pod to fit the 10-to-50-megawatt range where on-site gas turbines currently power many data centers, and says it can make nuclear’s economics very competitive with natural gas. If that holds, small reactors would be competing for the on-site generator slot rather than against utility-scale nuclear. That claim is still a target and has not been demonstrated.
The Benchmark Is a Gas Turbine, Not a Gigawatt Plant
Hyperscaler nuclear deals have mostly involved large legacy plants that deliver power over the grid. Aalo is aiming at a different market. Loszak said many data centers are being powered by gas turbines and small modular gas generators in the 10-to-50-megawatt range, and that this is the reason Aalo chose a 50-megawatt pod. He described the design as a balance between economy of scale, which argues for larger units, and economy of number, which argues for mass-producing many identical ones. He added that a reactor as small as 1 megawatt would suffer on economics.
This sizing decision identifies the real competitor. A 50-megawatt pod that can be stacked is meant to fill the same role in a site plan that on-site gas fills today: dedicated, behind-the-meter capacity, sized in blocks, added as a campus grows. It is not meant to replace a grid connection to a 1-gigawatt plant. The people affected are data center developers and neoclouds that currently use gas to get around grid interconnection delays. Crusoe is one of them, and Cavness said the company already pursues natural gas, solar and batteries as a portfolio.
The comparison also sets the standard the technology must meet. On-site gas is a known quantity with established supply chains. Aalo’s statement that it can be very competitive with natural gas is a stated goal, and neither company has published cost-per-megawatt-hour figures to back it up. The benchmark is clear. Whether Aalo can hit it has not yet been shown.
Why the Trial Is About Load Following, Not Reactor Physics
Loszak said the first priority is capacity factor: can the reactor run for months with very limited downtime? The second priority is load following, meaning how well the power supply tracks demand as it changes. AI workloads are not flat. Loszak said Crusoe may simulate the different fluctuation patterns it sees across training and inference jobs. The setup will include battery storage so the companies can test how nuclear and batteries share the job of absorbing those swings.
This is the practical challenge of tight coupling. When a data center draws from the grid, the grid absorbs its variability. When a reactor sits beside the load with no grid in between, any mismatch between supply and demand has to be handled on site, through controls, storage, or the reactor’s own response. Cavness’s emphasis on fault conditions in both directions points to the same problem: a disturbance on either the data center side or the reactor side has to be contained without taking down the other.
This is also where the gas comparison is tested in practice. On-site generators are often chosen because operators can dispatch them to match load. A nuclear pod paired with batteries needs to show similar operational behavior before a buyer will treat it as a replacement. Six months of data on that pairing is exactly what a prospective buyer would want to see.
Time Is the Cost Line Both Companies Are Trying to Cut
Cavness described nuclear’s historic problem as time and money. Build timelines of a decade or more lead to cost overruns, which raise the price per kilowatt-hour. The proposed solution is modular, mass-manufactured units that bring down both the timeline and the cost. Aalo reached criticality, a sustained nuclear chain reaction, within three years of its founding, which is fast by the standards of the nuclear industry. Crusoe’s modular data center approach follows the same manufacturing-led thinking.
The 2029 target is aggressive, and several dependencies stand in the way. Aalo needs Nuclear Regulatory Commission approval before any domestic commercial deployment. The companies also acknowledge they will need to win over local communities, which are increasingly skeptical of data centers even without a reactor involved. Their stated answer is careful site selection and public education. A successful trial would reduce engineering risk, but it would not settle licensing, siting or cost, and those are the factors that will determine whether small nuclear actually takes a share of the on-site power market from gas.
Background
Crusoe is a neocloud, a cloud provider focused on AI computing, that builds its own data centers, including its modular Spark design. It has pursued several energy sources, including natural gas, solar and batteries, to power those sites as grid capacity for data centers has become harder to secure. Aalo Atomics is a nuclear developer building factory-made reactor pods. Its first product is the Aalo One Reactor in a 50-megawatt Aalo Pod configuration, and the company reached criticality within three years of its founding.
Nuclear power has become a major topic in data center planning. All three major hyperscalers have signed nuclear supply agreements, mostly with large existing plants. Small modular reactors are a newer, largely unproven category. Proponents argue they can avoid the decade-plus build times and cost overruns of traditional nuclear, but they have yet to demonstrate that at commercial scale. Source: Neocloud Crusoe puts Aalo nuclear power to the AI data center test (Fierce Network), covering Crusoe and Aalo’s six-month trial pairing a small modular reactor with Crusoe’s Spark AI data center.Sources