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Specialized AI Subnets

Definition ∞ Specialized AI Subnets are dedicated subnetworks within a larger blockchain ecosystem that are optimized for specific artificial intelligence computations or machine learning tasks. These subnets provide tailored resources and environments to efficiently run AI models, process data, and generate verifiable outputs. They allow for scalable and decentralized AI capabilities.
Context ∞ Specialized AI Subnets are a critical component of the emerging Web3 AI Economy, enabling the execution of complex AI workloads on-chain. They address the computational limitations of mainnet blockchains by distributing AI tasks to more efficient, purpose-built environments. This architecture supports the development of decentralized AI applications, fostering verifiable intelligence and new economic models for AI services.

Abstract, glossy elements stack, featuring a translucent blue top layer with darker blue internal patterns, suggesting encapsulated data or a contained smart contract state. Beneath, reflective silver-grey segments interlock, forming a robust, layered structure. These components rest on a soft, undulating blue surface, suggesting a dynamic digital ledger or network liquidity. This visual metaphor represents modular blockchain architecture, illustrating distinct protocol layers like Layer 2 scaling solutions or wrapped assets, secured within a DeFi ecosystem, emphasizing secure data packets and interoperability.

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Tensora Launches AI-powered Layer 2 Rollup for Decentralized Machine Intelligence Marketplace

The Tensora L2 leverages OP Stack modularity to abstract AI computation onto BNB Chain, establishing a new primitive for decentralized intelligence markets.