VR2R-0723
① SA Source
- Source: 開啟完整 SA 文章
- Section:
VR NVL72 TCO: BoM and Power Budget Analysis - Line hint:
633
Context Before
NVIDIA is offering sparsity for FP4, marketing 50 PFLOPS of FP4, while
Evidence
Context After
Harnessing the 50 PFLOPS sparse vs 35 PFLOPS dense drops the cost per perf in units of $/hr per Marketed PFLOP by 35%—a valid comparison if AI Labs can indeed successfully harness Sparse FP4 on the VR NVL72.
② Atomic Claim
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "02_companies/AMD",
"label": "AMD"
},
"role": "vendor"
},
{
"node": {
"id": "04_knowledge_base/Sparsity",
"label": "sparsity"
},
"role": "feature"
}
],
"qualifiers": {
"condition_text": "inference dtypes",
"numeric_mentions": [
"CDNA4"
],
"temporal_mentions": [
"since CDNA4"
]
},
"relation_type": "AMD_REMOVES_SPARSITY_FOR_INFERENCE_DTYPES_SINCE_CDNA4"
}④ Canonical Entity Mapping
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。