Oasis Protocol Foundation launches ROFL mainnet: TEE-verifiable off-chain computing framework for AI applications

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On July 2, 2024 - The Oasis Protocol Foundation, the governance body of the Oasis Layer 1 blockchain focused on artificial intelligence and privacy protection, officially announced the launch of the Runtime Offchain Logic (ROFL) mainnet. This framework enables developers to execute complex computations off-chain while maintaining blockchain-level credibility, verifiability, and privacy.

ROFL fills a critical gap in the Web3 domain: how to run compute-intensive tasks such as AI model training, inference, and data analysis without compromising decentralization or trust. Through ROFL, developers can execute resource-intensive operations in secure enclaves and transmit results back to on-chain smart contracts through cryptographic verification, thereby unlocking new application scenarios for AI and blockchain integration.

"When we look to the future of the digital world, consumers will always prioritize convenience and ease of use," said Jernej Kos, co-founder of the Oasis Protocol Foundation. "That's why developers must build applications with privacy protection and transparency embedded at the infrastructure level. ROFL is a production-ready platform that will become a plug-and-play infrastructure for developing next-generation AI applications."

Early Developers Have Redefined Possibility Boundaries

Two benchmark projects currently built on ROFL fully demonstrate the platform's adaptability:

Zeph - As a privacy-first AI companion platform, it guarantees user data confidentiality through Trusted Execution Environment (TEE). In an industry background with frequent security issues, a 2023 study in the Indian Journal of Psychological Medicine showed that 74% of companion applications have "serious" or "high-risk" security vulnerabilities. Zeph achieves end-to-end protection and verifiability of sensitive data through ROFL.

WT3 - As an autonomous AI Agent for decentralized trading strategies, it uses ROFL to implement completely private, trustless private key management and transaction execution. The project has received a $100,000 seed fund support from the Oasis Protocol Foundation to accelerate product development.

More innovative applications are on the way. ROFL is designed for diverse scenarios and will support various product forms in the future, including game hosting, MCP servers, large language model (LLM) oracles, price oracles, AI chatbots, and more.

ROFL: A "Trustless AWS" for AI Applications

ROFL's core advantage lies in its deep integration with the Oasis TEE cloud. This infrastructure provides developers with a complete end-to-end TEE-as-a-Service, making ROFL a "trustless AWS" for AI applications -

A computational layer supporting white-label deployment where developers can build services with built-in privacy protection, trust mechanisms, and extensibility.

By combining blockchain's integrity guarantees with off-chain computing's powerful computing power, ROFL provides solutions to two major technological challenges today: the limitations of the blockchain ecosystem's application layer and the trust issues prevalent in the AI field. Developers can explore ROFL's application potential through oasis.net/rofl-deck.

About the Oasis Protocol Foundation

The Oasis Protocol Foundation is the governance body of the Oasis Network. As a Layer 1 blockchain platform focused on privacy, scalability, and versatility, Oasis was the first to launch a commercial-grade EVM (Ethereum Virtual Machine) supporting privacy protection - Sapphire, enabling privacy-preserving smart contract and decentralized application development. The network is extending its strategic focus to the AI application domain, aiming to become a cross-innovation platform for blockchain, privacy technology, and artificial intelligence.

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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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