IX2-0330
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Multi Token Prediction (MTP) - Line hint:
540
Context Before
Source: SemiAnalysis InferenceX ↗
At large batch sizes, the inference regime is less memory-bandwidth bound compared to for low batch sizes. Since speculative decoding (including MTP) works by trading excess compute for fewer memory-bound decoding steps, this extra verification work from speculative tokens may not fit cleanly into slack, resulting in smaller improvements at high batch sizes.
Evidence
enabling MTP can push costs down dramatically to only $0.057 per million total tokens
Context After
Source: SemiAnalysis InferenceX ↗
② Atomic Claim
啟用 MTP 後，每百萬 total tokens 成本可大幅降至約 0.057 美元。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "COST",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/Multi-Token Prediction",
"label": "MTP"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"0.057"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"0.057"
],
"value_text": "啟用 MTP 後，每百萬 total tokens 成本可大幅降至約 0.057 美元。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | MTP | 04_knowledge_base/Multi-Token Prediction |
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。