Verified75% confidenceFactExact time
The decode phase is a memory-bandwidth-intensive operation, and overall throughput is constrained by VRAM bandwidth rather than compute.
3
Sources
75%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
VerifiedThe Prefill phase is a compute-intensive operation, while the Decode phase is a memory-bandwidth-intensive operation.83% similarUnverifiedLLM 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.74% similarUnverifiedP/D Disaggregation (Prefill/Decode Disaggregation) deploys the Prefill and Decode stages on different nodes to independently scale according to their respective computational characteristics, while simultaneously optimizing throughput and time to first token (TTFT).73% similarUnverifiedDecode 阶段属于访存密集型操作，每生成一个新 token 需从显存读取全部历史 token 的 KV Cache71% similarUnverified输入Token可以在prefill阶段并行处理，而输出Token必须在decode阶段逐个串行生成71% similar
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