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The Oasis Protocol Foundation has announced the official mainnet launch of Runtime Offchain Logic (ROFL), a groundbreaking framework designed to enable developers to perform complex computations off-chain while maintaining blockchain-level trust, verification, and privacy. This development is part of the foundation's efforts to support Web3 developers in building seamless and efficient applications.
ROFL is built to provide developers with the necessary infrastructure to create privacy-preserving consumer and finance applications. It leverages Trusted Execution Environments (TEEs) to ensure that intensive workloads, such as AI model training, inference, and data analysis, can be executed without compromising decentralization or trust. This framework allows developers to run resource-intensive operations off-chain within secure enclaves, with the results being cryptographically verified and connected to smart contracts on-chain.
Jernej Kos, the co-founder of Oasis Protocol Foundation, highlighted the significance of ROFL, stating that it is a production-ready platform that will serve as plug-and-play infrastructure for the next wave of AI applications. He emphasized the importance of building applications with privacy and transparency built into their infrastructure, aligning with the growing consumer demand for convenience and ease of use.
ROFL is designed to support a wide range of future products, including game hosting, MCP servers, LLM oracles, price oracles, AI-powered chatbots, and more. Its versatility is already being recognized by early adopters. Two unique projects, Zeph and WT3, are already building on ROFL. Zeph is a privacy-first AI companion platform that uses ROFL to maintain user data confidentiality through trusted execution environments. WT3, an autonomous AI agent for decentralized trading strategies, leverages ROFL to deliver fully private, trustless key management and trade execution. The project has received $100,000 in seed capital from the Oasis Protocol Foundation to accelerate its development.
Following its integration with the Oasis TEE Cloud, ROFL stands as a "trustless AWS" for AI applications. It offers a white-label compute layer where developers can deploy powerful services with built-in privacy, trust, and scalability. This development positions ROFL as a robust infrastructure offering developers a full end-to-end TEE-as-a-Service, enhancing the efficiency and security of AI processes while maintaining the integrity and verifiability of the data.
The launch of ROFL marks a significant milestone for the Oasis Protocol Foundation, demonstrating its commitment to advancing blockchain technology and its applications in various industries. By providing a verifiable off-chain computing framework, the foundation aims to bridge the gap between traditional cloud computing services and the trustless nature of blockchain systems. This development is expected to attract developers and enterprises looking to leverage the benefits of blockchain technology for their AI and data-intensive applications.
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