VR2R-0718
① SA Source
- Source: 開啟完整 SA 文章
- Section:
VR NVL72 TCO: BoM and Power Budget Analysis - Line hint:
621
Context Before
VR Max-Q on the other hand, exhibits lower Operating costs relative to MI4XX given the lower chip TDP.
Evidence
For example a VR NVL 72 cluster deployed at a Hyperscaler with Arista networking would have a operating cost of $0.75 per gpu per hour, representing ~20% lower costs vs MI4XX deployed with a Hyperscaler with the same Arista networking.
Context After
This highlights the advantages of the Max-Q configuration, particularly from an operating cost perspective, as the lower power TDP reduces rack-level power density for a meaningful cost savings over time.
② Atomic Claim
例如,採用 Arista networking 的 VR NVL72 Hyperscaler cluster,operating cost 約為每顆 GPU 每小時 0.75 美元,比採用相同 Arista networking 的 MI4XX 約低 20%。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "04_knowledge_base/VR NVL72",
"label": "VR NVL72"
},
"role": "subject_platform"
},
{
"node": {
"id": "04_knowledge_base/MI400",
"label": "MI4XX"
},
"role": "comparison_platform"
},
{
"node": {
"id": "04_knowledge_base/Hyperscaler",
"label": "Hyperscaler"
},
"role": "deployment_type"
},
{
"node": {
"id": "02_companies/Arista",
"label": "Arista"
},
"role": "network_vendor"
},
{
"node": {
"id": "04_knowledge_base/GPU",
"label": "GPU"
},
"role": "cost_unit"
}
],
"qualifiers": {
"condition_text": "operating cost per GPU per hour with same Arista networking",
"numeric_mentions": [
"$0.75",
"20%"
],
"temporal_mentions": []
},
"relation_type": "VR_NVL72_OPERATING_COST_VS_MI4XX_WITH_ARISTA"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| subject_platform | VR NVL72 | 04_knowledge_base/VR NVL72 |
| comparison_platform | MI4XX | MI400 |
| deployment_type | Hyperscaler | Hyperscaler |
| network_vendor | Arista | Arista |
| cost_unit | GPU | GPU |
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。