Energy & Sustainability

Powering the AI revolution sustainably—renewable energy, nuclear options, carbon accounting, and efficiency innovations.

14 articles

AI's energy footprint is impossible to ignore. Training a single large model can consume as much electricity as dozens of households use in a year. As AI scales, so does its energy demand—and the industry's responsibility to meet it sustainably.

This hub covers the energy side of AI infrastructure: from renewable power procurement to efficiency innovations that reduce consumption at its source.

Key Areas

  • Power Sources — Solar, wind, hydro, and nuclear options for AI data centers: availability, economics, and reliability trade-offs
  • Small Modular Reactors — The nuclear renaissance and what it means for data center power: SMR timelines and feasibility
  • Carbon Accounting — Scope 1, 2, and 3 emissions: understanding and reducing AI infrastructure's carbon footprint
  • Efficiency Innovation — PUE improvements, workload optimization, and hardware advances that reduce energy per computation
  • Renewable Procurement — PPAs, RECs, and strategies for matching AI workloads to clean energy availability

Sustainable AI isn't optional—it's a business requirement. Our energy coverage helps you navigate the path to AI infrastructure that's both powerful and responsible.

All Energy & Sustainability Articles (14)

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