Compute as a grid-balancing asset following clean power
Beyond GPUs: How Decentralization Can Solve AI's Biggest Scaling Bottleneck | Day 2 | Crypto x AI (Blockworks)
“Workloads can migrate in real time to where the power is the cheapest, cleanest, or most available. When it’s sunny in Arizona, train there. When the wind is up in Kansas, infer there. This turns compute from a burden into a flexible grid-balancing asset. It’s [the] beginning of a new symbiosis between AI and energy.” — 00:11:16
Context: The energy-aware scheduling thesis, contrasted with static hardwired data centers.