Operational Renewable (wind PPAs) + Grid

Google — Pryor Creek, Oklahoma AI Data Center

Pryor, Oklahoma, United States

Capacity
600MW
Operator
Google
AI Focus
Cloud + AI (Google Cloud US South)
Year
2007

Google’s data center campus in Pryor Creek, Oklahoma — located in Mayes County roughly 45 miles east of Tulsa — is one of the company’s oldest and largest US inland facilities. Google broke ground in 2007, attracted by cheap hydroelectric power from nearby Grand Lake O’ the Cherokees and the Grand River Dam Authority, abundant land, and proximity to cross-country fiber routes. The campus has been expanded continuously across nearly two decades, growing from a single building to a multi-structure complex totaling several million square feet.

In December 2023, Google announced a $2 billion investment to further expand the Pryor facility, explicitly citing AI infrastructure demands as the driver. The expansion adds new buildings optimized for high-density GPU clusters for Vertex AI, Gemini model serving, and Google Cloud AI services. The Pryor campus forms part of Google Cloud’s US South region cluster alongside facilities in Nashville and Dallas, providing geographic diversity for AI inference workloads.

Oklahoma’s wind energy resources figure prominently in Google’s sustainability story for this campus. The state is among the top US wind producers, and Google has signed power purchase agreements with multiple Oklahoma wind projects, covering a substantial portion of the site’s growing electricity demand. The facility handles Vertex AI inference, Google Search backend, YouTube processing, and Gmail — increasingly augmented by AI features running on Gemini models that need low-latency access to central US users.

Grand Lake’s hydro generation provides a reliable renewable baseload that complements the variable wind PPAs, giving the Pryor campus one of the more stable renewable supply stacks among Google’s US facilities.

Reference Metadata

Country
United States
Region
Oklahoma
City
Pryor
Status
Operational
Timeline Year
2007
Location Precision
City
Machine-readable record
JSON GeoJSON

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