Autonomys Network, the foundation layer for AI3.0, today launched its Mainnet Phase 1. After two years of successful incentivized testnets, Autonomys enters its initial ‘farmnet’ phase, allowing participants to help secure the network by pledging storage via the Space Acres desktop application.
This step not only lays the foundation for decentralized AI on-chain but also introduces the “Space Race” campaign, a pivotal event marking the live launch of the Autonomys Network mainnet. The Space Race is designed to establish secure, decentralized consensus across the network by encouraging farmers to contribute storage and computational resources. Once the community reaches the target pledged space, mainnet rewards are activated, and farmers begin earning AI3 tokens. This collaborative effort is crucial for bootstrapping the network during its critical initial phase, ensuring a robust and scalable foundation for the AI3.0 ecosystem.
Autonomys today also unveiled the first in-depth whitepaper, titled “Autonomys: Foundation Layer for AI3.0,” which provides a comprehensive overview of its technology, vision, and the potential for decentralized AI infrastructure. The paper was developed by the Autonomys team with input and review from leading experts, including Dr. Chen Feng, Dariia Porechna, and Jeremiah Wagstaff.
The Mainnet Phase 1 launch underscores Autonomys Network’s commitment to creating a scalable, secure, and decentralized infrastructure for AI development. As the first AI3.0 ecosystem that enables AI applications on-chain, this milestone is designed to serve both the AI and Web3 communities by empowering participants with tools for decentralized storage and application building.
The Space Acres application is central to this launch, allowing users to actively participate in network security and data contribution, directly from their desktops. Autonomys Network also aims to partner with premier projects across AI, DePIN, infrastructure, and decentralized applications to expand the AI3.0 ecosystem’s reach and functionality.
Autonomys CEO Todd Ruoff, said: “The successful launch of Mainnet Phase 1 marks a pivotal moment in our journey to democratize AI development. We are not just creating infrastructure but a movement that emphasizes user control, data sovereignty, and scalable AI solutions. Mainnet is setting the stage for a transformative AI ecosystem that seamlessly unites blockchain and artificial intelligence, creating a foundation for next-generation data-driven applications and decentralized AI innovation. It facilitates a decentralized network of AI agents, promotes personal data sovereignty, and enables AI applications to operate independently on-chain, impacting both the AI industry and broader digital economy.”
The Mainnet launch will lay the foundation for the AI3.0 ecosystem, marking a crucial step toward Autonomys’ vision of decentralized AI. This phase is essential for building on-chain activity and encouraging community participation through storage pledges, which are critical to establishing a secure and scalable network. These efforts will prepare Autonomys for its anticipated “AI3” Token Generation Event (TGE) in Q1 2025.
As storage contributions grow, the network’s security and decentralization will strengthen, creating a robust environment for the development and deployment of AI-powered applications in a permissionless ecosystem. Building up on-chain activity and pledging as much storage as possible during this phase will play a crucial role in positioning Autonomys for a successful TGE. As more storage is pledged, network security, scalability, and decentralization will be enhanced, paving the way for the continued growth of AI-powered applications in a permissionless, decentralized environment.
The launch comes after notable milestones for Autonomys, including strategic partnerships with Masa AI and Compute Labs. The partnership with Masa AI focuses on building a decentralized, permissionless AI ecosystem, while the collaboration with Compute Labs aims to enhance the AI3.0 infrastructure with innovations like Compute Tokenization Protocol and GPU ‘Restaking’.
