WIDEBAND / AI Infrastructure
Infrastructure for demanding model workloads.
Plan GPU capacity, data access, model serving and observability. Integrate AI and LLM workloads into existing identity and security boundaries.
From requirements
to an operating system.
A defined scope and measurable acceptance criteria
come before implementation.
01
Compute and storage sizing
02
Inference and deployment architecture
03
Access controls and workload monitoring
Let’s establish the requirements