Inference
An inference-engine optimization that keeps the KV cache from earlier requests and reuses it when a new request starts with the same tokens, so the shared prefix skips prefill.
An inference-engine optimization that keeps the KV cache from earlier requests and reuses it when a new request starts with the same tokens, so the shared prefix skips prefill. In vLLM each full cache block is hashed from its tokens plus its parent block's hash, so a block only matches when everything before it matches too, and unused blocks are evicted least recently used first. Provider prompt caching applies the same idea as a billed API feature, and both reward putting static content like system prompts and tool definitions at the start of the prompt.
Primary source: docs.vllm.ai
Example
Provider prompt caching applies the same idea as a billed API feature, and both reward putting static content like system prompts and tool definitions at the start of the prompt.
Hands-on guides, comparisons, and tutorials that cover Inference.
FAQ
An inference-engine optimization that keeps the KV cache from earlier requests and reuses it when a new request starts with the same tokens, so the shared prefix skips prefill.
Prefix Caching sits in the Inference part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Inference topics including Prefix Caching. Check the blog and YouTube channel for hands-on walkthroughs.
Related
The first phase of LLM inference, where the model processes the entire input prompt in parallel and builds the KV cache before producing any output.
Measuring how many tokens a prompt will use before you send it, usually through a provider endpoint that runs the model's own tokenizer.
The first and most expensive stage of building a language model, where it learns to predict the next token across a huge unlabeled corpus of web text, books, and code.

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.