# Move the AI workload to the energy: energy-aware scheduling on Akash

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2025-08-02
- **Theme:** Energy & AI — https://www.gregosuri.com/predictions/energy-ai/
- **Source:** Solving the AI energy crisis \| Greg Osuri on what it takes to power AI (Changelog)
- **Watch at:** 00:46:49 — https://www.youtube.com/watch?v=61OOQfY5cqU&t=2809s
- **Canonical:** https://www.gregosuri.com/predictions/energy-ai/2025-08-02-move-the-ai-workload-to-the-energy-energy-aware-sc-faww/
- **Cite as:** Greg Osuri, "Move the AI workload to the energy: energy-aware scheduling on Akash," Solving the AI energy crisis \| Greg Osuri on what it takes to power AI (Changelog), 2 Aug 2025, 00:46:49. https://www.youtube.com/watch?v=61OOQfY5cqU&t=2809s

## Quote — verbatim

> Why burn energy but instead use that energy to train AI? Where it's windy in Kansas, move the AI workload there. When it's sunny in California, move the AI workload. The AI workload \[has\] to be elastic and has to be asynchronous... Akash, we are developing an energy-aware \[scheduler\] that will pick the lowest energy. So we'll start advertising the cost per energy now.

## Context — site annotation, not spoken

Answering whether plugging GPUs into wasted renewable capacity solves the problem ("Absolutely"); he cites wind at 1 cent/kWh vs LNG at 10 cents and diesel at 32 cents.