.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed
.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed

OpenAI Offers to Cut Data Center Power During Grid Emergencies

OpenAI plans to reduce electricity consumption at its directly developed U.S. data center campuses during emergencies. The company calls the

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Grid Protectors Program

OpenAI plans to reduce electricity consumption at its directly developed U.S. data center campuses during emergencies. The company calls the proposed initiative the Grid Protectors Program. It targets extreme weather and other situations that place pressure on electricity grids. The proposal could eventually establish a wider operating model for OpenAI’s expanding infrastructure portfolio. The announcement comes as the company moves into direct data center development. Its infrastructure expansion coincides with growing public concern about electricity demand from large computing facilities. Utilities face increasing pressure to serve these developments while maintaining reliable electricity supplies. OpenAI now wants its campuses to contribute to grid stability during periods of unusually high demand. The proposed program builds on an existing commitment associated with Project Camellia in Effingham County, Georgia. OpenAI has agreed to make up to 1 gigawatt of electricity demand available for reduction when the grid needs relief. That amount represents a substantial share of the planned campus’s electricity requirement. It also demonstrates how large computing facilities could participate in utility demand-management programs.

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