AI Engineering

Aug 28, 2026 · Cloud Native

Why Round‑Robin Fails for LLM Inference and How llm‑d Fixes It

Round‑robin routing in Kubernetes wipes out KV‑cache benefits for LLM inference, but llm‑d introduces cache‑aware routing, hierarchical eviction, and prefill/decode separation, delivering up to three‑fold throughput gains and halving first‑token latency, as shown in Tesla's production rollout.