Mars Finance News, on December 12, Pundi AI announced a partnership with the decentralized computing network LinqProtocol and its development team LinqAI, to jointly build a decentralized AI ecosystem driven by trusted data and scalable computing power. Pundi AI enables the community to create and verify high-quality AI training data through on-chain provenance and tokenized ownership, while LinqProtocol provides global GPU and CPU resources via a permissionless computing network to run AI tasks at a cost lower than centralized cloud providers. This collaboration will combine Pundi AI’s verifiable datasets with LinqProtocol’s computing network to unlock new use cases requiring intensive computation, such as advanced AI agents, inference workloads, simulation, and automation. The shared vision of both parties is to empower users to control the value they create, with data belonging to the creators and transparent, globally distributed computing power. In the future, as both ecosystems expand, more integrations, incentive mechanisms, and developer opportunities will be introduced to jointly build an AI future supported by community-driven and open networks.
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Pundi AI teams up with LinqAI: Promoting innovation in decentralized AI from data to computing power
Mars Finance News, on December 12, Pundi AI announced a partnership with the decentralized computing network LinqProtocol and its development team LinqAI, to jointly build a decentralized AI ecosystem driven by trusted data and scalable computing power. Pundi AI enables the community to create and verify high-quality AI training data through on-chain provenance and tokenized ownership, while LinqProtocol provides global GPU and CPU resources via a permissionless computing network to run AI tasks at a cost lower than centralized cloud providers. This collaboration will combine Pundi AI’s verifiable datasets with LinqProtocol’s computing network to unlock new use cases requiring intensive computation, such as advanced AI agents, inference workloads, simulation, and automation. The shared vision of both parties is to empower users to control the value they create, with data belonging to the creators and transparent, globally distributed computing power. In the future, as both ecosystems expand, more integrations, incentive mechanisms, and developer opportunities will be introduced to jointly build an AI future supported by community-driven and open networks.