Compute migrates to the greenest, cheapest power
Akash Accelerate 2025: Official Livestream (Akash Network)
“Workloads can migrate to where the power is greenest, cheapest, and most available. When it’s sunny in Arizona, we train there. When wind peaks in Kansas, we infer there. This isn’t a small optimization. It is a fundamental shift. It turns compute from static burden into a dynamic asset. Instead of straining the grid, it balances it. This is the beginning of a new symbiosis between AI and clean energy.” — 04:40:10
Context: Keynote section on location-aware, energy-sensitive scheduling — the same energy-aware scheduler thesis he repeats in interviews.