# io.net

> io.net operates a distributed GPU cloud and AI model platform. It aggregates compute from independent suppliers, offers clusters, containers and virtual machines through IO Cloud, and provides model inference and agent tools through IO Intelligence for developers and enterprise AI teams.

- **Founded:** 2022
- **Headquarters:** New York, United States
- **Founders:** Ahmad Shadid (Founder; former CEO), Tory Green (Co-founder; chair of io.net Foundation since April 2025), Basem Oubah (Co-founder; COO), Saad Mohammed Alenezi (Co-founder; chief customer officer)
- **Products:** IO Cloud, IO Worker, IO Explorer, IO Intelligence, IO Coin
- **Notable:** Raised a US$30 million Series A announced March 2024., Launched IO token in June 2024., Released IO Intelligence in February 2025.

## Products & services

- **IO Cloud** — On-demand GPU infrastructure with virtual machines, containers and request-based managed services including Ray, Kubernetes, bare metal and confidential compute.
- **IO Worker** — Supplier software for contributing and managing compute devices on the network.
- **IO Explorer** — Visibility into device inventory, utilization, geography and network activity.
- **IO Intelligence** — AI model APIs, chat and agents; documented compatibility with the OpenAI SDK and credit-based usage plans.
- **IO Coin** — Solana-based IO token supporting network payments, supplier incentives and staking.
- **Incentive Dynamic Engine** — Revenue-linked token economics with USD-pegged supplier payouts and token burns; launch announced June 11, 2026.

## Achievements

- Raised a US$30 million Series A announced March 2024.
- Launched IO token in June 2024.
- Released IO Intelligence in February 2025.
- Company announced an US$8 million enterprise contract and up to 4 billion daily inference tokens in June 2026; not independently audited here.

## Latest updates

- **2026-06** — Announced IDE launch, USD-pegged supplier payouts, revenue-linked token burns and an US$8 million enterprise contract.
- **2026-09** — Published analysis of inference latency trade-offs and compute-layer vendor dependence; these are editorial updates, not product launch announcements.

## Links

- Website: https://io.net/
- LinkedIn: https://www.linkedin.com/company/ionet-official/
- Twitter/X: https://x.com/ionet
- GitHub: https://github.com/ionet-official

---

Profile page: https://yespress.io/io-net
Published by YesPress — https://yespress.io
Last updated: 2026-10-05