Understanding Data Center Power Delivery - Amodo Design Notes
We mapped the power delivery systems of AI data centers. Our diagram explores the data available at each stage, measurement techniques and signals of interest for AI security.
Power monitoring is an important confidence-building measure for AI verification, as explored by RAND: Verifying International Agreements on AI. It can likely be spoofed, but is still valuable because: Power monitoring can complement other verification systems. It is harder to spoof compute accounting if the actor must also keep the power signature unchanged. Low-level power monitoring could be more expensive to spoof. An actor constrained to preserve per-GPU power signatures has much less room to e.g. conceal training as inference. As a basic model, each stage of the power delivery…
saved by
related reading
- Verification Planai-2040.com
- Roadmap: The AI data center stack - Bessemer Venture Partnersbvp.com
- The Compute Verification Postfirstscattering.com
- Power 2026 - Electricity Pricing in the Age of AIpower2026.ai
- The AI Power Crisis — Part 2 - Nuttynuttycld.substack.com
- Fast, scalable, clean, and cheap enoughoffgridai.us
- The Compute Verification Postsubstack.com
- A basic systems architecture for AI agents that do autonomous research — LessWronglesswrong.com
- How to Build the Future of AI in the United States | IFPifp.org
- AC vs DC: The AI Power Bottlenecknuttycld.substack.com
- Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deploymentarxiv.org
- DCRM: A New Lens for AI Grid Readinessaishwaryamahesh.substack.com