SA260324R-0063

① SA Source

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

are not as memory heavy on a low-latency SRAM-heavy chip like the LPU

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

這些部分對 memory 的需求較低,適合放在像 LPU 這種低 latency、以 SRAM 為主的晶片上執行。

  • 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

RoleSurface LabelCanonical 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。