As AI technology accelerates, the competition for global computing resources is becoming increasingly fierce. With every performance leap from large models like GPT-3 to GPT-4, Claude to Gemini, there is a tremendous consumption of extreme computing power. The demand for Nvidia A100 and H100 chips exceeds supply, the GPU market prices are highly volatile, and the trend towards monopolization is becoming more apparent. Meanwhile, thousands of idle data centers and personal devices around the world cannot effectively participate in the AI network. This contradiction gives rise to a core question: how to fairly and efficiently allocate global computing resources while ensuring performance and security?
The Origins public chain was born in this context, as a decentralized high-performance Layer 1 blockchain built for AI. Origins is not just infrastructure but a practical implementation of a new computing power incentive and distribution mechanism.
The core of Origins is a decentralized computing power market. It breaks the closed model of 'resource concentration—rent and pay' in traditional cloud platforms, connecting idle GPU chip resources worldwide. Through on-chain task scheduling, resource matching, and an automatic settlement system, individuals and organizations can easily share and obtain the computing power required for AI. This market uses OR tokens as a unified value carrier, with smart contracts automatically completing the listing, renting, delivery, and verification of computing power, achieving the free flow and transparent pricing of computing resources.
In terms of underlying technology, Origins uses a highly scalable parallel execution architecture and modular runtime to provide native support for high-throughput AI computing tasks. Combined with zero-knowledge proofs (ZK), verifiable computing (VCP), and data confidentiality protocols, Origins supports on-chain verification of model training and inference processes, ensuring that results are real and trustworthy. In the future, it will also integrate fully homomorphic encryption (FHE) and secure multi-party computation (MPC) capabilities to further enhance the compliance of AI computing power transactions and data privacy protection.
More importantly, Origins is not just about 'putting AI on-chain', but about creating an execution environment for AI native applications. Through smart computing power contracts, developers can flexibly call GPUs, upload models, run inference, and pay fees, commercializing AI services and embedding them into various DApps. Each on-chain AI task call, result verification, and economic distribution are automatically completed by the underlying logic of Origins, building a true 'trust machine' for AI services.
In addition, Origins has launched a computing node incentive program to attract global nodes to provide high-performance computing resources. Nodes receive OR rewards based on indicators such as stability, availability, and task response speed, effectively stimulating supply-side activity. In the future, Origins will introduce a 'computing power credit scoring mechanism' based on on-chain reputation and historical performance to further optimize resource scheduling efficiency.
With the rise of large models, edge computing, and AI agents, computing power is no longer just simple hardware but has become the most core asset of the digital age. Origins is deconstructing AI infrastructure with blockchain thinking and redefining the fairness, security, and efficiency of resource allocation with the logic of an open market.
In this AI era where 'computing power equals power', Origins is not only the builder of a decentralized computing power market but also the underlying driver of the global intelligent economy network. It will promote the shift of computing power from being controlled by a few oligarchs to universal sharing, allowing every user to have a voice in the AI era. Just as the internet redistributed information power and blockchain reshaped value structures, Origins is reconstructing the global computing power order with technology.
