A structured consulting engagement for organisations committing serious budget to AI infrastructure. You submit requirements and constraints; you receive a defensible architecture and procurement assessment.

Scope of the assessment:

• Workload and demand analysis — training and inference profiles, growth modelling, utilisation assumptions
• Compute architecture — accelerator selection across B300, H200 and RTX PRO 6000-class systems, node and pod design, scaling path
• Network fabric design — InfiniBand vs RoCE decision with topology, oversubscription and port-count analysis
• Storage architecture — throughput per GPU, checkpointing, dataset tiering and capacity roadmap
• Datacenter assessment — power envelope, rack density, cooling strategy and site feasibility
• Platform and orchestration — Kubernetes, GPU scheduling, multi-tenancy, LLM inference and RAG platform layer
• Security and sovereignty — data residency, isolation model and regulated-workload requirements
• Build vs GPU-as-a-Service analysis — three-year commercial model with cost per GPU-hour
• Procurement package — draft RFP structure, BoQ, vendor evaluation criteria and SLA requirements
• Risk register — technical, commercial, supply-chain and delivery risks with mitigations

Delivered as a written assessment with an architecture pack, plus a review session with your team. Starting at $999 — scope and price confirmed after an intake call.