LLM Batch Inference in Production: Running Offline LLM Tasks with Async Batch Processing
A systematic guide to using LLM Batch Inference for offline summarization, classification, data labeling, and batch evaluation. Covers task sharding, idempotent retries, result merging, cost control, failure recovery, and a pre-launch checklist.