OG&E to Power Three New Google Data Centers in Oklahoma
OG&E has entered into a contract with Google to supply electricity for three new data centers in Muskogee and Stillwater, announced in a press release. The Electric Service Agreements will be reviewed by the Oklahoma Corporation Commission in the coming days.
Under the agreement, Google will pay all costs to connect the sites to the grid and cover contracted power expenses regardless of actual energy use. The company will also contribute to power generation and make available capacity from two solar facilities currently under construction.
OG&E stated that the arrangement includes protections for existing customers and will serve as a model for future large load tariffs. Oklahoma Governor Kevin Stitt said the contract supports the state’s goals for economic growth while maintaining low energy costs for residents and businesses.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 29 OpenAI Launches Dots Agents in ChatGPT Sep 29 Omnissa Details Elara Governance Controls for AI and IT Actions Sep 29 GeoIntelX Adds 100 Years of SEG Research to GIX Sep 29 Relativity Adds KPMG and Three Law Firms to claiR Program Sep 29 Yellow.ai Launches Nexus EDGE Desktop Agent for Employee SupportMore from Data Centers
Sep 29 Efficient Computer Raises $97 Million to Scale Its Processors Sep 29 Hikvision Adds HIKO AI Engine to Hik-Connect 7 Sep 29 Compal to Show NVIDIA AI Factory Infrastructure at OCP Summit Sep 29 Samsung Invests $1 Billion in KKR's Helix Data Center Platform Sep 29 Cerebras to Supply 100 Megawatts of AI Systems to Gimlet LabsSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Oracle Issues Force Majeure Notice for New Mexico Stargate Data Center
Google Offers Free AI Tools and Training Across Missouri
Buildots Signs Green Mountain Data Center Deal
Crusoe Ends $1.25 Billion Boom Turbine Deal
Morgan State and Google Public Sector Build AI Research Campus
Daily AI Brief: the AI news that matters, in your inbox.