speculative-decoding-inference-optimization
IN premise — entries/2026/06/21/wiki-Large_language_model-chunk-6.md
Created 2026-06-21T09:50:09+00:00
Speculative decoding and PagedAttention are key inference optimization techniques for LLMs
Summary
These two techniques tackle the two biggest costs in running large language models: slow token-by-token generation and wasted memory. In practice, they translate to lower latency, higher throughput, and cheaper serving, which is what ultimately determines whether an LLM deployment is viable at scale.