Comment by radarsat1

As someone not super familiar with deployment but enough to know that GPUs are difficult to work with due to being costly and sometimes hard to allocate: apart from optimizing the models themselves, what's the trick for handling cloud GPU resources at scale to serve something like this, supporting many realtime connections with low latency? Do you just allocate a GPU per websocket connection? Which would mean keeping a pool of GPU instances allocated in case someone connects, otherwise cold start time would be bad.. but isn't that super expensive? I feel like I'm missing some trick in the cloud space that makes this kind of thing possible and affordable.