Google teams with nuclear power giant to give reactors a tune-up

Your cloud computing costs increase by up to 10% as hyperscalers compete for limited power resources.

Google has entered into a 20-year power purchase agreement with Constellation Energy, the largest nuclear power provider in the US. This deal includes securing nearly a gigawatt of new nuclear energy capacity by investing in upgrades at 11 existing nuclear plants across Illinois, Pennsylvania, and New Jersey. These upgrades, referred to as 'uprating,' involve modernizing turbines, steam generators, and digital control systems to increase power output without lengthy construction times. Constellation will invest $4.3 billion to implement these changes, with the first uprated reactor expected by 2028. The agreement also covers an additional 2,700 megawatts from other unspecified sources. This move addresses Google's substantial energy demands for its data centers, which are projected to cost as much as $205 billion this year. Other major tech companies like Microsoft and Meta are also pursuing nuclear power solutions to meet their own growing energy needs.

The increasing energy demands of hyperscale data centers, particularly for AI workloads, are creating significant pressure on power grids and driving companies toward long-term, high-capacity energy solutions like nuclear power. This trend signals a growing realization within the tech industry that power procurement is becoming as critical as hardware acquisition for scaling AI operations. The substantial investments in upgrading existing nuclear facilities suggest a pragmatic approach to rapidly increasing capacity, sidestepping the challenges of building new plants.

Companies like Google, Microsoft, and Meta are actively engaging with traditional energy providers to secure reliable and substantial power sources, indicating a strategic shift in how they view energy infrastructure. This collaboration between tech giants and nuclear power companies could accelerate the adoption of nuclear energy for industrial power needs and potentially influence regulatory landscapes. It also highlights the competitive landscape for energy resources, as demand for power intensifies with the continued expansion of AI and data processing capabilities.