Inference
Local model serving.
Run open-weight models on hardware sized to your latency, quality and throughput requirements.
LLM Machines is a pre-integrated AI appliance that brings model serving, chat, RAG, agents, connectors, audit logs and governance into your own environment.
An appliance should be more than a GPU server. It should arrive as an operated AI stack with support boundaries, identity integration and production controls.
Run open-weight models on hardware sized to your latency, quality and throughput requirements.
Expose familiar endpoints for chat, embeddings, routing, rate limits, cost attribution and logging.
Ground answers in documents, wikis, ticketing systems, repositories and other approved data sources.
Run controlled multi-step tasks through local workflow tooling and vetted MCP connectors.
Keep user, model, prompt, response and routing records available to your admins and auditors.
Separate certified core components from partner connectors and client-built extensions with clear SLA boundaries.
The appliance can run in your data centre, private cloud, air-gapped environment or a dedicated Croatian data centre deployment.
Identity federation, role mapping, network pre-flight, audit logs, PII controls and support access are handled during onboarding.
Teams get a private ChatGPT-like interface, internal knowledge search, document assistance and workflow automation without sending data to public AI providers.
Review the architecture, deployment plan and pricing model before a discovery call.