The AI Infrastructure Readiness Scorecard measures four categories: compute, networking, data readiness, and security and governance. These categories cover infrastructure decisions that can affect the cost, reliability, performance, and control of an AI feature in production.
The scorecard takes about three minutes and contains 12 questions. It asks about compute cost and latency, data movement and pipelines, provider agreements, audit logging, and data residency.
At the end, you receive an overall readiness percentage and a percentage breakdown for each of the four categories. The result also highlights priority actions based on the areas with the largest gaps.
AI Infrastructure Readiness Scorecard
Answer 12 questions about your infrastructure. See exactly where you are ready to build AI features — and where the gaps will cost you if left unaddressed.
Have you decided which compute model you will use for AI inference?