Multicoin Capital Invested in DePIN Project Grass
The project allows users to share unused internet bandwidth to support decentralized artificial intelligence workloads.
Updated on Sept. 30, 2026 in Data Centers

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Multicoin Capital has invested in the decentralized physical infrastructure network known as Grass. The project incentivizes individuals to share their unused internet bandwidth for use by artificial intelligence labs.
Why it matters
Grass aims to facilitate large-scale AI data collection by utilizing decentralized, crowdsourced bandwidth rather than relying solely on centralized infrastructure. This approach addresses the massive demand for web data processing required by modern machine learning models.
Grass functions by creating a decentralized network that connects unused internet bandwidth with AI workloads. The specific capacity of the network and throughput benchmarks for AI data processing are currently unavailable.
The players
Multicoin Capital
A thesis-driven investment firm that focuses on the crypto-asset market and decentralized infrastructure.
Grass
A decentralized physical infrastructure project that enables users to monetize unused internet bandwidth for AI data processing.
The details
Grass operates as a decentralized physical infrastructure network, or DePIN, which leverages distributed hardware to provide utility services. Users contribute their idle internet bandwidth to the project, which is then aggregated for use by AI labs to scrape and process large volumes of web data. This decentralized model allows for distributed data collection, removing the dependency on centralized data center pipelines for AI training sets.
Timeline
September 30, 2026: The investment in Grass by Multicoin Capital was reported.
The Tech Race
Grass joins a growing field of DePIN projects that seek to decentralize physical utility layers through tokenized incentives. It competes with other attempts to solve the compute and data-access bottlenecks currently constraining AI development pipelines.
Users can potentially monetize their idle internet bandwidth by participating in the Grass network. Participation requires connecting a device to the decentralized platform, though specific hardware compatibility and software requirements were not detailed in the report.
The takeaway
Grass represents a shift toward utilizing edge resources to satisfy the hunger for internet data in AI training. Interested parties should monitor the project's growth in network capacity and any future public benchmarks of its data processing throughput.
Further reading
For broader trends in infrastructure supporting the AI boom, see Data Centers.
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Would you feel comfortable sharing your home internet bandwidth to support artificial intelligence data processing?






