Organization Name – io.net

Category – Artificial Intelligence (AI)

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The dots io.net is connecting are: unused GPU capacity distributed across data centers and crypto miners worldwide, AI and machine learning engineers who need massive parallel compute and can’t get enough of it from AWS or Google Cloud, and a token-incentive layer that makes contributing that capacity economically rational. 25,000-plus GPUs integrated. $30 million Series A. $IO listed on Bybit, Coinbase, and Binance.

All three team members — CEO Gaurav Sharma and two additional leads — are independently verified. 959,000 audience followers. A MES of 35 at the 52nd percentile indicates… above-floor engagement quality for that audience. VBTS 12.85 — 50th percentile.

The timing of io.net’s infrastructure build coincides with the most acute GPU shortage the AI industry has experienced. The question is whether the DePIN aggregation model — pulling distributed GPU capacity into a unified compute marketplace — produces the reliability and latency characteristics that production AI workloads actually require, or whether it works for experimental use cases but can’t compete with dedicated cloud compute for mission-critical inference. That is the zero-to-one question io.net is still answering. For the broader DePIN context, see decentralized physical infrastructure networks. The infrastructure is real; the verified team and institutional funding are meaningful anchors. Whether the aggregate compute is reliable enough for production AI is the test the next phase of adoption will answer. Read More