An AI Index for all Cloudflare customers (blog.cloudflare.com)

Cloudflare announced an "AI Index" for all customers — a unified way to discover, monitor and compare AI/ML usage running on its platform. The Index centralizes telemetry and metadata so teams can see which models and inference endpoints are in use, track performance and cost signals, and surface operational risks (latency, error rates, throughput and anomalous traffic) across Cloudflare’s edge and compute services. It’s framed as a tool for visibility, benchmarking and governance rather than a model provider itself. This matters because visibility has become a gating factor for safe, scalable AI in production: by bringing observability and policy controls closer to where inference runs (the edge), Cloudflare’s Index helps operators optimize routing and cost, enforce security controls (rate limits, abuse detection, data protection), and prioritize model upgrades or rollbacks from a single pane. For engineering teams, the Index reduces the friction of managing distributed inference, expedites troubleshooting, and supplies metrics useful for SLOs, capacity planning and compliance — all of which are increasingly important as organizations deploy more models in customer-facing and latency-sensitive contexts.