Unverified50% confidenceFactExact time
The formula for local AI inference speed is Token/s ≈ memory bandwidth / data volume to be read per token, and large language models generate each token in an autoregressive manner.
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9/10/2026
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UnverifiedThe most fundamental principle of AI large language models is generating the next token based on probability72% similarUnverifiedLocal large language models refer to AI language models that run on the user's own devices, with a technical foundation that includes model quantization, efficient inference engines, and model distillation.71% similarUnverifiedSpeculative decoding technology, in which a local small model drafts answers and a large model verifies them, can improve overall throughput speed by 2 to 4 times without degrading quality.68% similarUnverifiedIn large model inference, generating each token requires reading all model weights from video memory, meaning the speed bottleneck is fundamentally a data movement problem rather than a computation problem.67% similar
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