Batching and Concurrency

LLM Serving and Inference APIs

Serve models through reliable APIs with streaming, batching, monitoring, and sensible deployment boundaries. Actual count-based generation and serving state transitions plus optional HTTP and model-runtime integration. Includes detailed lessons, worked solutions, failure injection, independent challenges and instructor assessment.