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Introducing New KV Cache Reuse Optimizations in NVIDIA TensorRT-LLM

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the…

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the previous tokens are used as historical context in LLM serving for generation of the next set of tokens. Caching these key and value elements from previous tokens avoids expensive recomputation and effectively leads to higher throughput. However…

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