GB2-0013
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
Most of the power draw from the compute tray is from the two Bianca board and 8 fans in each tray.
Context After
Source: SemiAnalysis GB200 Component & Supply Chain Model ↗
② Atomic Claim
compute tray 的主要功耗來自 2 個 Bianca boards 與每 tray 8 個 fans。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "major_power_draw_sources",
"context_nodes": [
{
"id": "04_knowledge_base/Bianca Board",
"label": "Bianca Board"
}
],
"entity": {
"id": "04_knowledge_base/Compute Tray",
"label": "compute tray"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"2",
"8"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"2",
"8"
],
"value_text": "主要來自 2 個 Bianca boards 與 8 個 fans"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | compute tray | 04_knowledge_base/Compute Tray |
| context_0 | Bianca Board | 04_knowledge_base/Bianca Board |
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。