Agentfm Core

AgentFM is a peer-to-peer network that transforms idle CPUs and GPUs from everyday computers into a global, decentralized AI supercomputer. By connecting a mesh of nodes, it enables massive AI workloads—training, inference, and computation—to run across distributed hardware without centralized cloud infrastructure. This approach reduces reliance on expensive data centers and leverages underutilized resources, making AI compute more accessible and cost-effective. Designed for developers, researchers, and organizations with demanding AI workloads, AgentFM provides a torrent-like mechanism for distributing tasks across the network. Users contribute their spare compute capacity or consume network resources for their own projects. The system supports popular AI frameworks and models, offering a flexible alternative to traditional cloud services. What sets AgentFM apart is its peer-to-peer architecture and focus on harnessing idle hardware. Instead of building new data centers, it taps into existing computers—from personal laptops to enterprise GPU clusters—creating a resilient and scalable compute layer. Early adopters can join the network to both contribute and benefit from collective computing power.