Pinlink Launches RWA-Tokenized DePIN Platform to Cut AI Computational Costs by 50%

Pinlink is addressing the escalating demand for Artificial Intelligence by tackling the high cost of computational power, a significant barrier for many developers and innovators. The company is uniquely positioned at the intersection of Decentralized Physical Infrastructure Networks (DePIN) and Real-World Asset (RWA) tokenization to democratize access to the physical hardware that powers AI, thereby driving down costs and fostering innovation.

Led by a team with extensive expertise in blockchain, High-Performance Computing, and enterprise data solutions, Pinlink is pioneering the concept of an RWA-Tokenized DePIN platform. This platform enables owners of physical infrastructure, such as GPUs, IoT devices, and crypto mining hardware, to tokenize these assets. Tokenization allows for fractional ownership and creates new revenue streams for hardware providers, making it easier for them to monetize their assets.

For AI developers, Pinlink offers a compelling value proposition. Through its “Pinnacle” RWA marketplace, launched on the Ethereum mainnet, users can invest in fractional shares of these tangible assets and access computational power at potentially much lower costs. A unique “Service User Rebate Fund,” fueled by marketplace transaction fees, directly subsidizes infrastructure costs for AI developers. This creates a virtuous cycle of adoption and growth, as more developers can afford to use the platform, leading to increased demand and further cost reductions.

The PIN token, an ERC-20 utility token, facilitates transactions within the ecosystem, enabling users to pay for infrastructure services and participate in staking and governance. By aggregating DePIN services and forging strategic partnerships with DeFi protocols and RWA-focused blockchains like Plume Network, Pinlink is building a comprehensive hub for decentralized compute resources. As AI continues its exponential growth, Pinlink’s innovative model for making essential hardware more accessible and affordable could be a game-changer, empowering a wider range of creators to build the next generation of AI applications.