What: AMD shipped ATOM + ATOMesh , a ROCm-native LLM serving stack whose headline trick is prefill/decode disaggregation — splitting the two phases of inference onto separate pools of GPUs instead of crowding them onto one. Why: Prefill and decode have opposite bottlenecks — prefill is compute-bound, decode is memory-bandwidth-bound — so running them on the same worker wastes hardware and lets one long prompt stall everyone else's token stream . vs prior: A co-located server (v...