Verified75% confidenceFactExact time
The Prefill phase is a compute-intensive task with high demands on compute power; the Decode phase is a memory-access-intensive task that is sensitive to GPU memory bandwidth.
3
Sources
75%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedThe prefill phase requires processing all input tokens at once and is a compute-intensive operation, whereas the decode phase generates only one token per step and is a memory-bandwidth-intensive operation.75% similarUnverifiedSeparating Prefill and Decode to run on different resources is the mainstream architecture for optimizing resource utilization in current large-scale inference services.74% similarUnverifiedThe prefill stage is responsible for processing the input prompt, completing the KV cache computation for all input tokens in one pass; the decode stage generates new tokens one by one.74% similarUnverifiedPrefill processes the entire prompt in parallel in one pass, is matrix-multiplication intensive, and has high GPU utilization; decode is token-by-token serial, processing only one token per step, is limited by memory bandwidth, and often leaves the GPU underutilized.73% similarUnverifiedThe prefill phase processes the complete input context, computes attention for all input tokens, and generates the KV cache; it is a compute-intensive operation whose time consumption is strongly correlated with input length.70% similar
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