Unverified50% confidenceFactExact time
The Decode phase is memory-bandwidth-intensive, requiring model weights and the KV cache to be reloaded from HBM at each step, which determines inter-token latency (ITL).
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50%
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Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedDue to the autoregressive nature, each decode step requires accessing the KV Cache of all previous tokens.72% similarVerifiedThe 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.69% similarUnverifiedDisaggregation technology splits the prefill and decode stages onto different hardware for processing.69% 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.66% similarUnverifiedSeparating Prefill and Decode to run on different resources is the mainstream architecture for optimizing resource utilization in current large-scale inference services.65% similar
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