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The Inference Tax: How Prefix-Aware Routing Eliminates the Hidden Cost of LLMs at Scale
This article discusses how prefix-aware routing and prefix caching techniques can reduce the computational overhead and costs associated with running large language models at scale by eliminating redu
This article discusses how prefix-aware routing and prefix caching techniques can reduce the computational overhead and costs associated with running large language models at scale by eliminating redundant processing of repeated input sequences. The "inference tax" refers to the hidden expenses incurred when LLMs process similar prompts or cached prefixes inefficiently, which can be mitigated through intelligent routing strategies that reuse previously computed token embeddings.
Source: DigitalOcean | 2026-06-01