Serving Multiple Users at Once: How Continuous Batching Keeps LLM Inference Efficient

# How AI Services Handle Multiple Users Without Slowing Down When AI services like ChatGPT handle thousands of users asking questions at the same time, they need a clever way to process all those requests efficiently—think of it like a restaurant that needs to serve many tables without any one person waiting too long. The article explains that the traditional approach (grouping requests into fixed batches) can waste computing power, and introduces a smarter method called "continuous batching" that processes new requests as soon as they arrive, rather than making everyone wait for a batch to fill up. This keeps AI services fast and responsive even during busy times.