Definition ∞ GPU cluster tokenization involves representing access rights or computational power from a network of Graphics Processing Units (GPUs) as tradable digital tokens on a blockchain. These tokens allow users to acquire and utilize high-performance computing resources for tasks like AI model training or complex simulations. This process democratizes access to expensive hardware by enabling fractional ownership or usage rights. It creates a liquid market for computational power.
Context ∞ The discussion around GPU cluster tokenization focuses on the efficient allocation of computing resources and the creation of a transparent marketplace for processing power. A critical future development involves seamless integration with decentralized artificial intelligence platforms and verifiable execution of computational tasks. Its relevance to crypto news stems from the increasing demand for specialized hardware in AI and machine learning. This system offers a novel approach to resource sharing and monetization.
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