Delaware, USA - Lilypad, a distributed, permissionless computing network leveraging idle processing power to foster an open AI data economy, has recently announced the details of its IncentiveNet initiative. The program will reward participants who provide services, utility, and value to the Lilypad Network. The Lilypad team, featuring developers from prominent Web2 and Web3 companies like IBM, AWS, Protocol Labs, Coinbase, Near, Google, Atlassian, and researchers from Stanford University, aims to democratize access to high-performance computing via a serverless, distributed multi-chain network.
IncentiveNet offers a strategic opportunity to establish the necessary core compute infrastructure essential for the success of decentralized AI and to challenge the dominance of major cloud providers. Participants are encouraged to contribute to network stability and ensure the establishment of sufficient nodes at launch. This includes comprehensive testing to ensure resilience, identify bugs and vulnerabilities, and validate operational and game theory logic. Participants will be rewarded with Lilybit_ credits, which can be exchanged for Lilypad ERC20 Tokens at the Mainnet Launch.
Alison Haire, CEO and Founder of Lilypad, stated: “Artificial intelligence is profoundly impacting industries, transforming work dynamics, and significantly influencing daily life. As AI continues to evolve, it is crucial to ensure it benefits the public, maintaining principles of accessibility similar to the early days of the web. Currently, high costs and resource demands reinforce the dominance of major firms. At Lilypad, we believe in linking an ethical AI future with open-source, decentralized networks. Our solution harnesses the processing power of idle hardware, aiming to establish a distributed compute network vital for the emerging digital AI era. We strive to offer a secure, high-performance decentralized compute network for the fourth industrial revolution.”
The Lilypad team highlights computing as essential for an open web and AI framework, aiming to unlock access to a universal compute layer as a public resource. Developers will be able to execute internet-scale computation tasks from smart contracts (on any EVM-compatible chain), CLI, or traditional SaaS workflows. Applications include AI, machine learning, gaming, DeFi, and DeSci. As a coordination platform, Lilypad connects demand for computing services with providers, delivering new revenue streams and enhanced efficiency for hardware businesses.
Initially incubated at Protocol Labs and built on Bacalhau, a peer-to-peer protocol enable decentralized communication between computers, Lilypad seeks to reduce entry barriers and enable new use cases for developers and node providers through a permissionless and distributed job-based system. Lilypad acts as a compute coordination platform, serving as the backend for computing where users, protocols, providers, and projects can interact, contributing to an open infrastructure stack that extends global access to efficient compute power.
Haire further added: "Our mission is to equip developers with the tools necessary to build an open web and play a vital role in a collaborative, decentralized AI platform that is accessible and usable by anyone."
