"These engines are essentially the same type as you find in modern cars - internal combustion engines. Traditionally, they are small machines that provide less than 1 MW of power. The bulk of the market continues to produce such machines. But a few models are now in the 3 MW to 20 MW range. By tying together a whole lot of them, some developers hope to provide more than 1 GW of power to their AI factories."
"Caterpillar, for example, received a 2 GW order for the Monarch Compute Campus in West Virginia. The company will supply a series of Cat G3516 Fast Response natural gas generator sets to American Intelligence & Power Corporation (AIP) for the facility. Delivery of these units begins in 2026 with the goal of 2 GW coming online by 2027."
"These gas engines can ramp from zero to full load in approximately seven seconds. They will operate on natural gas and incorporate emissions controls, including selective catalytic reduction (SCR), to support ultra-low emissions performance and compliance with all relevant air permitting requirements."
AI data centers face severe power supply constraints as grid capacity and gas turbine production cannot meet demand, with some turbines having waiting lists through decade's end. Small modular reactors offer promise but won't be available for five years. Gas reciprocating engines—similar to automotive internal combustion engines—are now being deployed at scale, with models ranging from 3 MW to 20 MW. Caterpillar received a 2 GW order for West Virginia's Monarch Compute Campus, delivering Cat G3516 natural gas generator sets beginning in 2026, with potential expansion to 6 GW. These engines ramp from zero to full load in seven seconds, operate on natural gas with emissions controls, and work alongside battery energy storage systems to manage extreme load fluctuations.
#ai-data-center-power-infrastructure #gas-reciprocating-engines #energy-supply-constraints #natural-gas-generation #hyperscaler-energy-solutions
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