← The AI Systems Map
L6 · PowerEnergy / power⬦ Chokepoint

On-site datacenter power generation

Behind-the-meter gas turbines and fuel cells

With grid interconnection queues stretching years, hyperscalers and neoclouds increasingly deploy behind-the-meter generation (GE Vernova/Siemens Energy gas turbines, Bloom fuel cells, on-site solar+BESS) to power AI campuses immediately. This shift makes gas-turbine order books and interconnection timelines first-order constraints on AI buildout.

Driver

multi-year interconnect queues

Options

gas turbines, fuel cells

How it fits the stack

On-site datacenter power generation with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.

usessourcesusesOn-site datacenterpower generationPowerGE VernovachokepointLithiumSiemens Energychokepoint
On-site datacenter power generationDepends on ↑

On-site datacenter power generation in the AI stack. On-site datacenter power generation with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.

Graph data (text) — 4 entities, 3 relationships
  • On-site datacenter power generationusesGE Vernova
  • On-site datacenter power generationsourcesLithium
  • On-site datacenter power generationusesSiemens Energy