Images add preprocessing and encoder work before the language model can answer. Their effect on prompt length and cache memory depends on the model. Budget each stage, and distinguish image-embedding reuse from prefix-cache reuse.
Updated Oct 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.
Images add preprocessing and encoder work before the language model can answer. Their effect on prompt length and cache memory depends on the model. Budget each stage, and distinguish image-embedding reuse from prefix-cache reuse.
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Change the assumptions in a free calculator, then explain what the result establishes and what still needs measurement.
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Follow an image through preprocessing, encoding and language-model work. Derive token and cache demand from one explicit model recipe, then distinguish reusable image embeddings from reusable prefix KV.
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