LLM Inference Infrastructure from Scratch: How to Fine-Tune Correctly, Part 7

PagedAttention, Speculative Decoding, Multi-LoRA Serving, and the Systems That Turn Trained Weights into Production APIs Six episodes built a model that scores well on every benchmark that matters. The job is done, but when someone tries to actually use it, the first request takes eight seconds. When there are ten concurrent users and latency doubles. If there are hundred concurrent users, the system crashes. The issue is with infrastructure, not the model.