io.net (IO): Decentralized GPU Cloud for AI Revolution

io.net is a decentralized GPU cloud infrastructure provider. By distributing GPU clusters on-demand from data centers worldwide, it offers low-latency, high-performance computing for AI and machine learning (ML) applications. Built on the Solana blockchain, the project provides AI developers with access to open-source models.

By offering developers unlimited GPU access, io.net aims to reduce costs for AI/ML projects and optimize resource utilization.

Table of Contents

Team and Founders

io.net was founded by an experienced team:

Tory Green – CEO & Co-Founder (Stanford graduate, Tiller Partners & HUM Capital)
Ahmad Shadid – Co-Founder (WhalesTrader & Arabfolio, Ethereum Foundation volunteer)
Basem Oubah – Co-Founder & Chief of Staff (Yıldız Technical University graduate)
Matej Tomazin – Co-Founder
Gaurav Sharma – CTO (Binance, Agoda, Amazon, eBay experience)
Garrison Yang – CMO (Ava Labs, gaming & tech consultancy)
Smiral Rashinkar – VP of Engineering (ML engineer at Koo & Rivi)

The team has deep expertise in AI, blockchain engineering, and enterprise infrastructure.

Funding and Investors

io.net raised $30M in a Series A round led by Hack VC. Notable participants include:

Lead Investors: Hack VC, Multicoin Capital, 6th Man Ventures (6MV)
Other Participants: Solana Ventures, OKX Ventures, Aptos Labs, Delphi Digital, The Sandbox, Otoy, Protagonist, LongHash Ventures, Amber Group, Animoca Brands, ArkStream Capital, Continue Capital, Foresight Ventures, SevenX Ventures, Springs Capital, Web3 Ventures, WAGMI Ventures, Moonhill Capital, PBG Capital

Project Concept

Decentralized GPU Network: io.net aggregates idle GPUs from independent data centers, crypto miners, and other blockchain projects (Render, Filecoin), creating a massive decentralized computing network.
Affordable Computing Power: The network provides AI/ML developers with cost-efficient GPU access, reducing costs by up to 70% compared to traditional cloud providers like AWS.
DePIN Model: As a Decentralized Physical Infrastructure Network, GPU owners rent their hardware in exchange for $IO tokens, while developers pay with tokens to access resources.
Developer-Friendly Tools: io.net offers open-source models, SDKs, and tools for parallel training, model tuning, and distributed workload management.
Efficient Resource Use: The network optimizes GPU clusters on-demand, balancing workloads to reduce costs and maintain high performance.

How io.net Works

IO Worker: Independent nodes providing GPU resources, tracking usage and earnings
IO Cloud: Allows users to create GPU clusters on-demand and manage workloads
IO Intelligence: Open-source models and tools for AI developers
IO Explorer: Shows GPU/CPU assets, pricing, and block rewards
IO ID: Manages users’ earnings, wallet connections, and identity verification

The Proof of Time-Lock mechanism ensures rented GPUs are not used for other tasks during the rental period.

Architecture Layers

UI Layer: User interface for developers and providers
Security Layer: Firewalls, authentication, logging
API Layer: Connects external systems with internal operations
Backend Layer: Cluster management, workload tracking, billing
Database Layer: Structured data and caching
Message Broker/Task Layer: Workflow management
Infrastructure Layer: Distribution and management of GPU/CPU resources

AI/ML Applications

Training: Parallel GPU use for model training, data and model parallelism
Tuning: Efficient hyperparameter search on distributed systems
IO-SDK: Easy parallel computing via Ray.io fork

Governance

$IO Token: Used for governance, staking, and rewards

Staking: Tokens can be staked for network security

Voting: Community votes on protocol upgrades and parameter changes

Roadmap

Phase 1: GPU cluster deployment and infrastructure setup
Phase 2: Integration of IO Intelligence platform
Phase 3: Development of comprehensive AI/ML tools
Detailed roadmap includes BC8 V2.0, Search & Deploy, and platform updates

Token Info

Name: $IO
Total Supply: 800,000,000
Use Cases: Payments, staking, rewards, governance
Blockchain: Solana
Circulating Supply: 204.4M IO

Token Distribution

Community: 50%
R&D Ecosystem: 16%
Core Contributors: 11.3%
Early Supporters (Series A): 10.2%
Early Supporters (Seed): 12.5%

Ecosystem & Partnerships

Render: Provides GPU resources, early supplier incentives (300,000 RENDER reward)
Filecoin: Storage services
Aethir: GPU resources

Key Features

Low cost: Up to 50% savings vs traditional cloud
High performance: Low-latency GPU clusters
Flexible: On-demand GPU cluster creation
Developer tools: Open-source models and resources

Official Links

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