Equation 11 · How AI Inference Serving Actually Works
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the number of positions in each sequence. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Its footprint follows directly from the shape of the cache. For a model with L layers, key-value attention heads, head dimension , holding a sequence of length s across b concurrently served sequences, stored at p bytes per element, the total resident size is
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