SA260324R-0063
① SA Source
- Source: 開啟完整 SA 文章
- Section:
SRAM and Memory Hierarchy - Line hint:
71
Context Before
This is why Nvidia has decided to combine these architectures to get the best of both worlds: accelerate parts of decode that are more latency sensitive and
Evidence
Context After
, while memory hungry attention is performed on GPUs that come with a lot of fast (but not SRAM fast) memory capacity.
② Atomic Claim
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"frame_type": "CLAIM_ONLY",
"qualifiers": {
"condition_text": "承接前一 claim 的 latency-sensitive decode parts",
"numeric_mentions": [],
"temporal_mentions": []
},
"reason": "此 claim 是前一 reused claim 中 latency-sensitive decode parts 的續句,原句未重複明示該主詞。",
"statement": "這些部分對 memory 的需求較低,適合在低 latency、SRAM-heavy 的 LPU 類晶片上執行。"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| — | — | — |
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。