LLM inference is a two-phase process. The first phase is prompt processing aka prefill. It's compute-heavy but requires relatively low memory bandwidth. The second phase is token generation aka decode, which doesn't require much in the way of FLOPs but wants as much memory bandwidth as possible.
This announcement is for a system to do the first phase on Helios and the second phase on WSE.
This announcement is for a system to do the first phase on Helios and the second phase on WSE.