TriAttention Integrated into TensorRT-LLM for Efficient Long-Context Inference

songhan_mit · x · 2026-08-05

TriAttention KV-cache compression has been officially integrated into NVIDIA TensorRT-LLM. It is a training-free, decode-time cache eviction method designed for efficient long-context LLM inference.

The method uses offline calibration to gather attention head statistics and scores cached tokens using a trigonometric importance measure during generation. It retains the most important tokens and physically compacts the cache, significantly reducing memory footprint and allowing more sequences to be processed simultaneously on a GPU.

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TriAttention Integrated into TensorRT-LLM for Efficient Long-Context Inference

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