Unverified50% confidenceFactExact time
Local AI inference is divided into two stages, Pre-Fill (reading the prompt) and Decode (generating new tokens); Decode speed is measured by the tokens per second shown by LM Studio or Ollama, while the Pre-Fill stage can be much slower than Decode.
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11/1/2026
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UnverifiedLLM inference requests are divided into two phases—Prefill (input) and Decode (output); Prefill can read inputs in parallel with extremely high throughput, while Decode requires token-by-token serial inference and occupies significantly more GPU time.79% similarVerifiedThe decode phase is a memory-bandwidth-intensive operation, and overall throughput is constrained by VRAM bandwidth rather than compute.74% similarVerifiedThe Prefill phase is a compute-intensive operation, while the Decode phase is a memory-bandwidth-intensive operation.73% similarUnverifiedThe inference process of large language models is divided into two phases, Prefill and Decode, and the computational complexity of the attention mechanism is O(n²).71% similarUnverifiedIn traditional large language model autoregressive decoding, each token's generation depends on the previous one, meaning longer outputs result in higher latency71% similar
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