Your question is Distributed Inference for Low Latency and Batch. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you architect a distributed inference service that supports both low-latency requests and high-throughput batch processing?