Custom-built, high-density GPU clusters designed for organizations requiring absolute data sovereignty and dedicated compute power.
As foundation models become core business assets, relying on public cloud providers creates significant risks: data leaks via inference, unpredictable quota limits, and massive egress costs. For frontier research, "standard" cloud instances often lack the optimized interconnects and thermal stability required for long-running training jobs.
We architect and deploy private, in-house GPU clusters. These aren't just "servers in a rack"—they are cohesive systems featuring high-speed InfiniBand networking, custom liquid or high-airflow cooling, and air-gapped security protocols.
Navonmesh provides the full stack: from hardware selection and supply chain management to the deployment of software layers like Slurm, Kubernetes, and optimized CUDA environments.
By bringing compute in-house, our clients achieve up to 60% reduction in long-term TCO compared to cloud reservations, while maintaining 100% control over their weights and proprietary data. Our "Secure Link" architecture allows for hybrid setups where inference happens locally while less sensitive pre-processing scale to the cloud.