PeerLLM is a decentralized AI network, where you can donate compute (www.peerllm.com)

PeerLLM is building a decentralized AI network that lets anyone donate compute, data, or models and earn directly from AI workloads. The platform is organized into three layers—Consumers, Network, and Hosts—and routes user requests to the most suitable host based on availability, capability, and efficiency. Resource usage is tracked and payments flow back to hosts through transparent accounting; the Network layer enforces compliance, transparency, and fair reward distribution. Hosts can offer compute, datasets, fine‑tuned models, and training services in a single marketplace, while consumers get choice and potentially lower-latency, specialized AI services. This model is significant because it reframes displacement by centralized AI: rather than concentrating power and revenue in a few providers, PeerLLM aims to redistribute economic value to individuals and communities, enabling creators and displaced workers to monetize unique data, artistic styles, or spare compute. Technically, the system’s intelligent routing and usage accounting imply requirements for secure provenance, metering, and governance to preserve model quality and fairness. For the AI/ML community, PeerLLM could expand access to diverse datasets and niche models, increase system resilience against monopolization, and create new incentives for decentralized model development—while raising practical challenges around trust, verification, and regulatory compliance.