Hyperscaler AI capacity in gigawatts
Gigawatts are the new region count. Here is the AI capacity each operator has announced, in its own words, with the date and the source.
7 operators · checked 2026-11-11 · method
| Microsoft Azure | Fairwater Wisconsin and Atlanta: hundreds of thousands of NVIDIA Blackwell GPUs per site | ND GB200 v6 VMs on NVIDIA GB200 NVL72 racks | USD 45.2bn incl. finance leases in FY2027 Q1 (Jul to Sep 2026) | 2026-11-11 |
|---|---|---|---|---|
| Oracle Cloud Infrastructure (OCI) | Up to 4.5 GW of additional Stargate capacity for OpenAI (agreed Jul 2025) | OCI Supercluster: up to 131,072 NVIDIA B200 GPUs | USD 28.5bn in FY2027 Q1 (Jun to Aug 2026) | 2026-11-11 |
| Google Cloud | Visakhapatnam AI hub, India: gigawatt-scale, three campuses (ground broken Apr 2026) | Cloud TPU v6e (Trillium): 256 chips per pod | USD 51.4bn (Alphabet) in Q3 2026; USD 195bn to 205bn guided for 2026 | 2026-11-11 |
| Amazon Web Services (AWS) | 3.9 GW of new power added in 2025; total power capacity to double by end-2027 | Trainium3 accelerators; Neuron SDK; GPU instances | USD 77.3bn PP&E purchases in Q3 2026; ~USD 220bn cash capex guided for 2026 | 2026-11-11 |
| CoreWeave | 1.7 GW+ active power; 4.6 GW+ contracted (Q3 2026) | NVIDIA GPU clusters for AI training and inference | USD 9.4bn PP&E purchases in Q3 2026; USD 37bn to 39bn guided for 2026 | 2026-11-11 |
| Meta | Prometheus (Ohio) 1 GW from 2026; Hyperion (Louisiana) up to 5 GW | Prometheus supercluster: hundreds of thousands of GPUs deployed | USD 34.9bn incl. finance-lease principal in Q3 2026; USD 135bn to 145bn guided for 2026 | 2026-11-11 |
| NAVER Cloud | AI factory with NVIDIA: 55 MW in H1 2027, 100 MW later in 2027, 200 MW by 2028 | KVM GPU Server: NVIDIA A100 and H100 | — | 2026-11-11 |
Campus-by-campus megawatts for the sites behind these numbers are on AI Data Center List.