Running AI inference one request at a time works well for real-time product experiences. But many workloads do not need an immediate response. Data enrichment, classification, extraction, content moderation, summarization, and offline analytics often involve hundreds or thousands of requests that can be processed asynchronously.
That is where the ZeroGPU Batch API comes in.
With Batch Processing, you can upload a JSONL file, submit it as a batch job, and retrieve the results when processing is complete. It is designed for large asynchronous workloads where throughput, reliability, and simplicity matter more than instant response time.
Why Batch Processing?
Many AI workflows are naturally asynchronous.
