DistributeAI

DistributeAI is a decentralized compute network (DePIN) for AI developers, ML startups, and enterprises that need cost-effective AI inference, plus individual users who want to monetize idle GPU capacity.

Key capabilities include:

• Serverless inference via API that routes requests across a distributed pool of consumer hardware, so teams can deploy without managing servers.
• On-demand access to 40+ curated open-source models, covering common workloads such as image generation, speech-to-text, text-to-speech, chat, and translation.
• Compute provider tooling with a real-time dashboard for uptime, completed tasks, and earned credits, plus performance-weighted rewards using GPU quality and network latency multipliers.
• WebGPU-based distributed ML designed to run efficiently in browser environments, with support for model fine-tuning where developers control hardware and software environments.

Pricing: Unknown (the site references per-use charges and live monitoring for transparency, but does not publish rates).

What makes it notable is its “Airbnb for GPUs” approach, aggregating tens of thousands of consumer devices into a distributed supercomputer for inference, which can suit always-on AI agents and other applications that require ubiquitous, low-cost compute access.