Introducing Cloudless AI
Route OpenAI- and Anthropic-compatible inference to spare local GPUs and NPUs, with policy-controlled cloud fallback.
We’re introducing Cloudless AI, a compute layer that routes LLM inference to idle NPU and GPU nodes across your corporate network, falling back to the cloud only when necessary.
The problem
Every corporate network has machines with powerful NPUs and GPUs sitting mostly idle: developer workstations, render farms, and on-premises servers. Meanwhile, teams are paying cloud bills to run the same inference workloads that those machines could handle.
Our solution
Cloudless AI sits between your applications and your compute. Install the router, run the node-agent on machines with spare capacity, and point your existing OpenAI or Anthropic SDK at the router’s endpoint. Requests are routed to eligible on-premises nodes, with cloud fallback only when the matching routing rule allows it.
Get started
Follow the quickstart guide to run the stack locally.
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