GB2-0016
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Power Budget Estimates - Line hint:
181
Context Before
We believe that this variant of NVL72/NVL36x2 will have lower upfront capital cost compared to the Grace CPU version, with less revenue flowing to Nvidia. Since it is using an x86 CPU, there will be much lower CPU to GPU bandwidth compared to Grace C2C which can talk to the GPUs at up to 900GB/s bidirectional (450GB/s). Because of this TCO is questionable. Furthermore as the x86 CPUs will not be able to share power between the CPU and GPUs to optimize for the workload total peak power required is much higher. In our accelerator model, we have broken down which GB200 form factors & the exact volume each of the top 50 buyers will be deploying. ↗
Power Budget Estimates
Evidence
123.6kW per NVL72 is the total power draw including the inefficiencies from rectifying from AC power from the whip to DC power that the compute tray takes in.
Context After
Source: SemiAnalysis GB200 Component & Supply Chain Model ↗
② Atomic Claim
NVL72 的總功耗為 123.6kW，包含 AC 轉 DC 的整流損耗。
- Epistemic Mode:
ESTIMATED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"attribute": "total_power_draw",
"context_nodes": [
{
"id": "04_knowledge_base/Compute Tray",
"label": "compute tray"
}
],
"entity": {
"id": "04_knowledge_base/GB200 NVL72",
"label": "GB200 NVL72"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": "including AC-to-DC rectification inefficiency",
"numeric_mentions": [
"123.6kW"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"123.6kW"
],
"value_text": "總功耗 123.6kW，包含 AC-to-DC rectification inefficiency"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | GB200 NVL72 | 04_knowledge_base/GB200 NVL72 |
| context_0 | compute tray | 04_knowledge_base/Compute Tray |
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。