Prime Intellect, a San Francisco-based developer of open-source decentralized AI training and reinforcement learning infrastructure, has raised $130 million in Series A funding in one of the largest early-stage rounds for AI infrastructure this year.
The round was led by Radical Ventures, with participation from NVIDIA Ventures, Intel Capital, Dell Technologies Capital, and existing institutional investors. The strong backing from semiconductor giants underscores the strategic importance of distributed AI compute infrastructure.
Prime Intellect builds a platform that enables organizations to collaboratively train large AI models across distributed compute resources, reducing dependence on centralized数据中心 and making advanced AI training more accessible. The platform supports reinforcement learning workflows at scale, allowing researchers to train models using globally distributed GPU clusters.
Democratizing AI Compute
The company’s approach addresses a critical bottleneck in the AI industry: access to compute. By creating a decentralized training layer, Prime Intellect allows smaller AI labs, academic institutions, and enterprises in compute-constrained regions to participate in frontier model development without needing their own massive GPU clusters.
The involvement of NVIDIA, Intel, and Dell in the round is notable — each has a vested interest in expanding the addressable market for AI hardware beyond the largest hyperscalers. The funding will be used to expand the platform’s capabilities, grow the engineering team, and onboard more distributed compute providers onto the network.
