Chunked Prefill Trend 2026

Chunked prefill is a memory optimization technique for large language models (LLMs) that splits long input prompts into smaller segments for processing. This prevents GPU out-of-memory errors and enables faster time-to-first-token. AI engineers, developers, and inference platforms benefit by serving longer contexts, improving throughput, and reducing latency during the prefill phase.