Infrastructure partner
onprem.ai replaces cloud AI with local enterprise LLM servers that are plug-and-play: OpenAI-compatible APIs, the latest models, and a managed platform built on proven data centre software. Member of the NVIDIA Inception Program, developed in Switzerland for air-gapped and regulated environments.
Lunnoa needs a sovereign inference layer beneath agents and workflows. onprem.ai delivers that as a turnkey on-premise LLM platform: NVIDIA-accelerated GPU servers, high-performance inference engines, and Kubernetes-based operations with zero cloud data leakage. Lunnoa sits on top as the application layer for automation, governance, and integrations.
Core capabilities this partner contributes to Lunnoa engagements.
High-performance model serving through modern inference engines including vLLM, SGLang, LLama.cpp, and TensorRT-LLM. Models are tested, optimised, and delivered as updates from onprem.ai's enterprise AI lab so infrastructure stays current without manual patching cycles.
Enterprise AI servers built for fast LLM inference at scale, from entry Blackwell RTX workstations through multi-GPU MGX configurations to DGX-class datacentre systems. Hardware and drivers are tuned for very large models, with modular sizing for teams from a single user to 150+ concurrent users per cluster.
A multi-layer stack from hardened Linux and GPU drivers through Kubernetes, Argo CD, and Helm. Containerised workloads combine API gateways, real-time metrics, and inference services into one maintainable private AI datacentre, including self-healing agents for incident detection and remediation.
Fully OpenAI-compatible REST endpoints let teams connect chatbots, document processing, and custom AI workflows to local infrastructure. Deploy models and tools as Docker containers that scale with demand, alongside standard protocols for databases, internal services, and business applications.
Specialists from onprem.ai who collaborate with Lunnoa on client engagements.
Founder, onprem.ai
Founder of onprem.ai, the Swiss enterprise platform for on-premise LLM infrastructure. UZH-trained computational scientist who builds plug-and-play local AI servers for sovereign, air-gapped deployments with no cloud data leakage.
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