Open models on servers you control, behind one gateway for all your apps — without sending data outside your infrastructure.
Real screens of the software, shown with demo data.
Many European businesses want to use AI but do not want to send customer documents to third-party services. Lion AI Cloud runs models on servers you control, via Ollama or llama.cpp, and exposes them through one API.
The scheduler knows each node’s memory, disk and load and sends every request where it fits. Start with plain CPU servers and add GPU nodes whenever you need them.
You see requests, tokens and latency per application, estimated CPU cost, benchmark history per model and node, and you set maintenance windows so nodes leave service gracefully.
Models run on your own servers.
Placement based on RAM, disk and load.
Separate RAG and system prompt per application.
Estimated CPU cost per application.
Test models right from the panel.
Notifications via webhook and email.
Yes. Nodes are organised into pools and the scheduler picks a node for each request.
Yes, an exact-response cache with a configurable TTL.