Unverified50% confidenceBenchmarkExact time
In traditional LLM inference, the actual utilization rate of the KV cache is often less than 50%, while PagedAttention can raise it to nearly 100%.
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9/7/2026
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UnverifiedIn traditional LLM inference, the approach of pre-allocating contiguous GPU memory for the KV cache of each request often results in actual GPU memory utilization of less than 50%.76% similarUnverified传统推理框架中每个请求的 KV Cache 需预分配等长连续显存，显存利用率通常仅有 20%-40%，PagedAttention 可将其提升到接近 100%74% similarUnverifiedResearch indicates that when the context exceeds a certain length, the model's recall accuracy for content in the middle portion may drop below 50%.73% similarUnverified推理时的KV缓存、激活值缓冲区和中间计算状态会额外占用30%-50%显存73% similarUnverifiedIn empirical tests, the draft token acceptance rate of DFlash2 is generally between 40% and 50%, reaching approximately 58%–60% at its higher end.72% similar
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