AI Infrastructure
Enterprise AI inference infrastructure
A phased reference architecture for private knowledge assistants, document processing and enterprise AI services, with workload validation before configuration selection.
- Workload brief — capture model versions, precision, context length, concurrency and latency or batch targets before calculating capacity.
- Compute layer — evaluate catalog accelerators and server platforms as candidates. Exact GPU quantities, slot layout, firmware and driver support require separate compatibility checks.