0G Launches 0GM-1.​0: Open-Source AI Model Trained on Decentralized GPUs

**0G Onsite Lagos** wrapped its first day with 50 builders working on robotics-focused projects using real hardware—not simulations. **Key developments:** - Verifiable inference implementation - Persistent agent memory systems - Trustless coordination protocols - Deployment to actual humanoid robots The two-day event marks 0G's third return to Lagos, with live demos scheduled for day two. Builders are integrating 0G's infrastructure directly into physical robotics applications.

0G Labs published a comprehensive recap of their participation at Consensus Miami 2026. The team maintained an active presence throughout the week-long conference with: - **5 hosted events** bringing together community members and partners - **5 speaking slots** across different stages - **2 community activations** engaging attendees - **1 keynote presentation** focused on the Trillion-Dollar Agentic Economy The full details of their activities and insights from the conference are available in their [official blog post](https://0g.ai/blog/consensus-miami-2026-recap). This marks a significant showing for the DeAI L1 ecosystem at one of the industry's premier conferences.

At Consensus Miami's Agentic Tooling Summit, Michael H outlined the infrastructure gaps preventing AI agents from scaling into a trillion-dollar economy. **Three critical requirements identified:** - **Verifiable compute** - ensuring agent actions can be cryptographically proven - **Sovereign agent identity** - establishing autonomous identity standards (Agentic ID, ERC-7857) - **Onchain coordination rails** - enabling agents to interact and transact seamlessly The keynote emphasized that while demos show promise, production-ready agentic systems need these foundational layers before autonomous economies can emerge at scale.

**ERC-7857 introduces onchain identity verification for AI agents** A new standard called Agentic ID provides AI agents with blockchain-based identification and verification. The system stores ownership records and attestations directly onchain. **Key features:** - Agent state data encrypted on 0G Storage - Automatic re-encryption with each ownership transfer - Verifiable proof of agent identity, ownership, and model execution The standard enables users to confirm which specific agent performed an action, verify current ownership, and validate that the correct model executed as intended.

**0G Labs successfully trained a 107-billion parameter AI model** using its DiLoCoX framework in partnership with China Mobile in 2025. **Key achievements:** - 357x more communication-efficient than traditional methods - Largest documented decentralized AI system (48% larger than Bittensor's models) - Runs on standard 1 Gbps internet connections without data centers **Future roadmap:** - Scale to 700B+ parameters - Implement 100M token context window This marks a shift from theoretical concepts to practical implementation of decentralized AI training at scale.