How To Run AI At Scale Without Going Broke
summary
IO.net presents a three-layer stack—IO Cloud, IO Intelligence, IO Application—built on a decentralized mesh of idle GPUs that lets users spin up a GPU cluster within two minutes via a single deployment API, run open‑source models with built‑in RAG and an agent marketplace, and use an upcoming agent builder and training‑as‑a‑service. The network reports 10,000 active GPUs, over $14M daily network earnings, 1 billion tokens/week and 5,000 customers across 138 countries, trading hyperscaler lock‑in for token‑staked supply coordination.
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chapters (9)
- 0:00Introduction and vision
- 1:15AI infrastructure challenges
- 3:41IO.NET stack overview
- 5:08Spinning up GPU clusters
- 6:53Decentralized compute model
- 7:57IO Intelligence layer
- 9:24Open-source LLM accessibility
- 10:48Real-world usage and partners
- 11:11Future roadmap and vision
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