The Future of AI Won’t Be Centralized
summary
io.net argues centralized clouds can’t meet AI demand: compute supply lags adoption by ~2.5x and recent scaling estimates push needs ~100x higher. Forecasted GPU-as-a-service market hits $2.5T by 2032. io.net aggregates idle GPUs across 55+ countries (vs AWS 37), provisions GPUs in ~2 minutes, and targets 70% cost reduction. Platform reports 27,000 clusters, 95% cluster stability, ~8,500 users, 300k enterprise GPUs/CPUs live, and $11M network earnings in five months, plus built‑in RAG support.
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chapters (10)
- 0:00Introduction
- 1:08AI future won’t be centralized
- 4:04AI growth and compute demand
- 9:03Centralized AI problems
- 12:34Decentralized GPU aggregation
- 16:31Decentralized AI benefits
- 18:59io.net adoption
- 21:27Revenue and enterprise proof
- 24:15Future roadmap
- 26:45Mission to decentralize AI
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