Crypto-focused venture capital firm Paradigm has led a $50 million Series A investment in decentralized AI startup Nous Research, giving the project a $1 billion token valuation, according to reporting by Fortune. The round was financed almost entirely by Paradigm and follows roughly $20 million in prior seed funding from investors including Distributed Global, North Island Ventures, and Delphi Ventures. This makes Nous one of the largest early-stage bets at the intersection of blockchain and artificial intelligence, an area where many earlier crypto-native efforts have struggled to gain traction. Founded in 2022 by a distributed group of open-source AI researchers, Nous Research is building open-source AI models trained via a decentralized compute network rather than centralized data centers. The company uses the Solana blockchain to coordinate and incentivize contributors who supply idle GPU power around the world, rewarding them via a crypto-based system while using on-chain mechanisms for coordination and fault tolerance. Nous has already released research and models such as its Hermes series and a Solana-based training network (Psyche) that has been tested on large models, and aims ultimately to offer a community-driven alternative to centralized AI providers like OpenAI and DeepSeek. For Paradigm, the deal is a high-profile move deeper into decentralized AI infrastructure, signaling that leading crypto VCs see long-term potential in using blockchains for coordination, incentives, and security in AI training. The $1 billion token valuation underscores market expectations that tokenized, distributed compute networks could lower the cost of training frontier models and broaden participation in AI development, even as details of Nous’s token design and economics remain largely undisclosed. The funding will be used to scale compute capacity, expand the roughly 20-person team, and advance both research and the Solana-based training platform.

AI-generated background, compiled from web sources — not editorial content.

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