IX2-0072
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Prefill and Decode Phases - Line hint:
103
Context Before
The Cost/Perf per TCO vs Interactivity/End-to-End Latency curve mostly follows the Throughput vs Interactivity/End-to-End Latency Curve: More tokens/hour leads to a lower cost per token as fixed $/hour costs are amortized over more tokens produced.
Prefill and Decode Phases
Evidence
It is computationally intensive since all tokens in the request are processed in parallel
Context After
When prefill and decode performed on the same engine, prefill constantly disrupts decode batches leading to worse overall performance.
Disaggregated Prefill
② Atomic Claim
由於 request 中所有 token 會平行處理，因此 prefill 屬於運算密集型階段。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"attribute": "UNSPECIFIED_ATTRIBUTE",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/Prefill",
"label": "prefill"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [],
"value_text": "由於 request 中所有 token 會平行處理，因此 prefill 屬於運算密集型階段。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | prefill | Prefill |
⑤ Human Review
請在 Properties 逐項確認：
- 原文 → Atomic Claim 是否忠實
- Atomic Claim → Semantic Frame 是否忠實
- Canonical Entity mapping 是否正確
- Epistemic mode 是否保留原文語氣
- 最後選擇
review_action
Review state
Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。