Machine learning is the ideal workload for home-deployed compute
"Base Layer Episode 209: Greg Osuri, Founder of Akash Network on Decentralizing Compute" (Base Layer)
“Machine learning is one of those use cases where you do not have the data gravity issues like our latency requirements that web applications normally require. So it’s an ideal system to be deployed in the home.” — 00:26:54
Context: Early (2021) articulation of the thesis that AI/ML workloads, being latency-insensitive, will migrate to cheap home/edge hardware (“our latency requirements” = likely “or latency requirements”).