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agent-workloads-gpu-infrastructure

A collection of 3 posts

Microsoft’s Water Numbers Show the Hidden Constraint Behind Azure AI Scale

Microsoft’s Water Numbers Show the Hidden Constraint Behind Azure AI Scale

Microsoft’s latest water-stewardship post is easy to misfile as sustainability communications. Do not. It is an Azure AI infrastructure story with fewer model names and more physics. The numbers are the hook: Microsoft says average datacenter water use effectiveness improved by nearly 90% since early datacenter generations, falling from

Tokens per Watt Is Becoming the AI Factory’s Real P&L Metric

Tokens per Watt Is Becoming the AI Factory’s Real P&L Metric

“Tokens per watt” sounds like a facilities metric until you have to run a real AI product under real capacity limits. Then it becomes the P&L. NVIDIA’s latest AI factory energy-efficiency post is easy to misread as green-computing content. It is really a margin story: every watt

Microsoft’s 2GW Pecos Datacenter Is the AI Capacity Story Builders Cannot Ignore

Microsoft’s 2GW Pecos Datacenter Is the AI Capacity Story Builders Cannot Ignore

Microsoft’s newest Azure AI announcement is not a model, a benchmark, or another Copilot button in a product that already had three. It is a 2-gigawatt datacenter campus in Pecos, Texas — and that makes it one of the more honest AI stories of the month. The AI stack has