How LiteLLM model health checks generated unexpected external-model spend, and how we kept checks for local models only.

Turn product scenarios, workload traces, latency SLOs, and failure requirements into an evidence-based GPU capacity plan.

An update on OCI model volumes, inference-aware routing, KServe, llm-d, multi-node inference, GPU scheduling, and the remaining gaps.