Unverified50% confidenceFactExact time
On-device inference has a cold-start latency where the model must first be loaded into memory, and this time may dominate the user's first impression.
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50%
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Long-term
Relevance
10/12/2026
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Related Claims
UnverifiedWhen performing inference on small models, the startup overhead, memory copying, and scheduling latency introduced by frameworks can far exceed the actual time spent on matrix operations.74% similarUnverifiedInference scenarios, especially large model weight loading, are considered the most likely initial breakthrough point for flash-based solutions due to their more regular memory access patterns.71% similarUnverifiedThe cold-start latency when a model is first loaded onto a GPU can be tens of times the steady-state inference latency, which has a significant impact on serverless deployment scenarios.70% similarUnverified在推理阶段输入内容通过并行化注意力机制一次性处理,而输出内容需自回归逐Token生成,无法并行化,构成大模型推理延迟的根本瓶颈69% similar
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