Think beyond the megawatt: Architecting power for AI

AI-driven data centers are pushing power requirements from hundreds of megawatts toward gigawatt scale, while grid constraints and equipment lead times are increasing pressure to bring generation online faster. But the technology that helps solve an immediate power challenge may become part of a site's operating architecture for decades—making lifetime performance as important as time to power.

Join GE Vernova experts as they examine generation choices for hyperscale and AI data centers, comparing high-speed reciprocating engine fleets with aeroderivative and heavy-duty gas turbine architectures and looking beyond initial deployment to the operational, maintenance, infrastructure, emissions, and lifecycle considerations that emerge as power requirements scale.

• EXPLORE how generation architecture changes as data center requirements move from megawatts to gigawatts, and why technologies that work well at smaller scales can introduce new challenges as unit counts grow.

• COMPARE the operational and lifecycle considerations of gas turbine architectures and high-speed reciprocating engine fleets, including maintenance, staffing, controls, infrastructure, emissions, and long-term operating requirements.

• DISCOVER how aeroderivative and heavy-duty gas turbines can deliver larger blocks of power with fewer generating assets, helping create a more manageable generation architecture for hyperscale AI infrastructure.