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 AzureFairwater Wisconsin and Atlanta: hundreds of thousands of NVIDIA Blackwell GPUs per siteND GB200 v6 VMs on NVIDIA GB200 NVL72 racksUSD 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 GPUsUSD 28.5bn in FY2027 Q1 (Jun to Aug 2026)2026-11-11
Google CloudVisakhapatnam AI hub, India: gigawatt-scale, three campuses (ground broken Apr 2026)Cloud TPU v6e (Trillium): 256 chips per podUSD 51.4bn (Alphabet) in Q3 2026; USD 195bn to 205bn guided for 20262026-11-11
Amazon Web Services (AWS)3.9 GW of new power added in 2025; total power capacity to double by end-2027Trainium3 accelerators; Neuron SDK; GPU instancesUSD 77.3bn PP&E purchases in Q3 2026; ~USD 220bn cash capex guided for 20262026-11-11
CoreWeave1.7 GW+ active power; 4.6 GW+ contracted (Q3 2026)NVIDIA GPU clusters for AI training and inferenceUSD 9.4bn PP&E purchases in Q3 2026; USD 37bn to 39bn guided for 20262026-11-11
MetaPrometheus (Ohio) 1 GW from 2026; Hyperion (Louisiana) up to 5 GWPrometheus supercluster: hundreds of thousands of GPUs deployedUSD 34.9bn incl. finance-lease principal in Q3 2026; USD 135bn to 145bn guided for 20262026-11-11
NAVER CloudAI factory with NVIDIA: 55 MW in H1 2027, 100 MW later in 2027, 200 MW by 2028KVM 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.

Operator profiles