Serve LLMs at production scale — batching, quantisation, speculative decoding, and GPU memory management for low-latency inference.
Five passes over the same idea, each from a different angle. Do them in order, or jump to whichever you need.
Model serving bridges the gap between a great model and a production system. vLLM’s PagedAttention revolutionised GPU memory management for transformer inference. Speculative decoding trades small model predictions for faster generation. Understanding these primitives lets you choose between hosted APIs, self-hosted inference, and edge deployment intelligently.
