# Homes are the least understood compute resource; latency is "a symptom, not a cause"

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2026-07-29
- **Theme:** Local Compute — https://www.gregosuri.com/predictions/local-compute/
- **Source:** AI Data Centers Are Eating the Grid. Is There Another Way? (The People's AI: The Decentralized AI Podcast)
- **Watch at:** 00:38:12 — https://www.buzzsprout.com/2440361/episodes/19568316-ai-data-centers-are-eating-the-grid-is-there-another-way
- **Canonical:** https://www.gregosuri.com/predictions/local-compute/2026-07-29-homes-are-the-least-understood-compute-resource-la-k4hj/
- **Cite as:** Greg Osuri, "Homes are the least understood compute resource; latency is "a symptom, not a cause"," AI Data Centers Are Eating the Grid. Is There Another Way? (The People's AI: The Decentralized AI Podcast), 29 Jul 2026, 00:38:12. https://www.buzzsprout.com/2440361/episodes/19568316-ai-data-centers-are-eating-the-grid-is-there-another-way

## Quote — verbatim

> Initially, Akash was mostly data center compute, but now we're going into homes with usable compute as well. Homes being one of the best resources, one of the least understood resources... Homes are extremely efficient when it comes to energy usage. Latency is a symptom, not a cause... It's not a critical component for training as well as inference.

## Context — site annotation, not spoken

His core contrarian claim against the co-location advantage of hyperscale data centers: latency constraints are an artifact of algorithm design, not physics.