# Compute migrates to the greenest, cheapest power

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2025-06-24
- **Theme:** Energy & AI — https://www.gregosuri.com/predictions/energy-ai/
- **Source:** Akash Accelerate 2025: Official Livestream (Akash Network)
- **Watch at:** 04:40:10 — https://www.youtube.com/watch?v=wiVrlo7XJA0&t=16810s
- **Canonical:** https://www.gregosuri.com/predictions/energy-ai/2025-06-24-compute-migrates-to-the-greenest-cheapest-power-yxec/
- **Cite as:** Greg Osuri, "Compute migrates to the greenest, cheapest power," Akash Accelerate 2025: Official Livestream (Akash Network), 24 Jun 2025, 04:40:10. https://www.youtube.com/watch?v=wiVrlo7XJA0&t=16810s

## Quote — verbatim

> 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.

## Context — site annotation, not spoken

Keynote section on location-aware, energy-sensitive scheduling — the same energy-aware scheduler thesis he repeats in interviews.