VR2-0384
① SA Source
- Source: 開啟完整 SA 文章
- Section:
PCB Materials Upgrade and Area Growth - Line hint:
481
Context Before
Source: Nvidia VR NVL72 Component BoM and Power Budget Model ↗
Beside material upgrade, the other driver of PCB content value is the increase of high end PCB area coverage. In Grace Blackwell, the only boards with high end material are the Bianca board with M7 grade CCL and the NVSwtich board with M8 grade CCL, leaving front half of the compute tray uncovered by high end PCB board. For VR NVL72, the Orchid board and the midplane board increases the high end PCB board area in the compute tray covering the front half of the chassis. With the Strata board bigger than the Bianca board and the extra peripheral boards in the compute tray, we estimate that the area of high end PCB board increases by ~2.3 times from GB300 to VR NVL72. As the tables shows, the Orchid board is the main contributor to the delta of total high-end PCB area between GB300 and VR NVL72 rack.
Evidence
Context After
Compute Tray: Thermal
VR NVL72 takes liquid cooling to the next level. The VR NVL72 compute tray is 100% liquid cooled, whereas GB200 and GB300 compute trays adopt a hybrid of 85% liquid cooling and 15% air cooling. As a result of this, fans are removed from the compute tray and the cold plate coverage increases to remove heat from the front half of the chassis. An internal manifold will be placed in the middle of the chassis to distribute inlet coolant to the various modules and to collect the outlet coolant. Each of the modules within the compute tray will have a cold plate module attached. Each cold plate module connects to the internal manifolds via MQD (a smaller form factor quick disconnect specification standard by Nvidia for compact area application within the compute tray).
② Atomic Claim
SemiAnalysis 的 VR NVL72 Component BoM and Power Budget Model 提供 VR NVL72 與 GB200/GB300 的 high-end CCL、PCB content 美元價值拆解。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "04_knowledge_base/VR NVL72",
"label": "VR NVL72"
},
"role": "subject"
},
{
"node": {
"id": "04_knowledge_base/GB200",
"label": "GB200"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/GB300",
"label": "GB300"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/Copper-clad laminate",
"label": "CCL"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/PCB",
"label": "PCB"
},
"role": "participant"
}
],
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"relation_type": "PROVIDES"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| subject | VR NVL72 | 04_knowledge_base/VR NVL72 |
| participant | GB200 | GB200 |
| participant | GB300 | GB300 |
| participant | CCL | 04_knowledge_base/Copper-clad laminate |
| participant | PCB | PCB |
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。