AI Infrastructure
AI Rack Reference Architecture
Designed for teams that need a practical private AI stack using enterprise compute, GPU acceleration, ZFS storage, and managed network fabric.
Configuration notes
Rack-level design for private inference, model serving, vector search, storage, and secure network segmentation.
Every quote is matched to workload, budget, expansion, power, network, and support requirements.
- GPU-ready compute nodes
- ZFS and NVMe storage tiers
- 10GbE to 25GbE network planning
- Proxmox, Linux, Docker, and AI runtime options