Unverified50% confidenceFactExact time
The Prefill (prompt processing) phase is compute-intensive and relies on the GPU's parallel matrix computation capability; the Decode (generation) phase is memory-bandwidth-intensive and depends more on VRAM bandwidth.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe prefill stage is a compute-intensive operation primarily limited by GPU compute, while the decode stage is a memory-bandwidth-intensive operation primarily limited by VRAM bandwidth.79% similarUnverifiedThe Prefill stage of LLM inference is compute-intensive with GPU utilization close to 100%, while the Decode stage is memory-bandwidth-intensive with the bottleneck being HBM VRAM bandwidth.79% similarUnverifiedPrefill is a compute-intensive operation where computation grows quadratically with sequence length; decoding is a memory-bandwidth-intensive operation that can reuse the KV Cache.78% similarUnverifiedThe LLM output stage (decode) is limited by the serial nature of autoregression, resulting in lower GPU utilization than the batch parallel processing of the input stage (prefill), which causes the unit price per output token to typically be the highest70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/978762API
curl https://kongchang.com/api/v1/knowledge/claims/978762MCP
get_claim(id=978762)