LLM Hosting
Run private AI workloads without turning it into a research project — operated like production from day one.
What this is for
- • Private assistants and internal copilots
- • RAG pipelines and embedding services
- • Model inference endpoints for product features
Security and data boundaries
We treat AI workloads like any other sensitive production system: isolation, controlled access, and a clear data story.
- • Isolated runtime and network boundaries
- • Access control and auditability
- • Deploy where compliance requires (DE/CH or on-premise)
Operations
- • Monitoring, logging and incident handling
- • Predictable update process
- • Clear limits and responsibilities
Next steps
Share your target workload (inference, embeddings, RAG), expected traffic, and data constraints. We’ll propose a productized setup and an operating model.
Need a dedicated foundation?
Bare Metal provides the predictable base for AI workloads with clear isolation.