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.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
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Brownfield vs Greenfield: The Case for Retrofitting Existing Data Centers for AI

The default assumption in AI infrastructure has always favoured greenfield. Build new, build big, build for the future. When hyperscalers

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The default assumption in AI infrastructure has always favoured greenfield. Build new, build big, build for the future. When hyperscalers announce gigawatt campuses in Texas or the Gulf, they are building from scratch on land chosen for power access, not legacy infrastructure. That model made sense when the primary constraint was design flexibility.

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The chip that makes Nvidia nervous. Cerebras’ Wafer Scale Engine is rewriting the rules of AI inference at scale.
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