Inference System Optimization

An AI development team is deploying two different services. Service X is a real-time conversational agent where minimizing the response time for each user's turn is the top priority. Service Y is an offline system that processes a massive queue of documents for analysis, where maximizing the total number of documents processed per day is the main goal. Considering the trade-offs between different batching methods, which approach is best suited for each service?

Match each batching strategy with its corresponding primary goal and performance trade-off.

Simultaneous vs. Sequential Phases in Continuous and Standard Batching