14 May 2026 09:00 AM
A practical introduction to why LLM serving breaks the usual web-app scaling playbook: requests become token streams, latency splits into TTFT and TPOT, replicas may span GPUs or nodes, memory becomes KV cache, and autoscaling needs workload-aware signals instead of CPU alone.