VR2-0154
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Rubin Oberon Rack: NVL72 not NVL144 nor NVL36 - Line hint:
187
Context Before
Rubin Oberon Rack: NVL72 not NVL144 nor NVL36
Since the announcement of GB200 at Nvidia GTC 2024, the concept of an AI server system has shifted from a chassis to a rack scale system. In our GB200 article ↗, we discussed the evolution of Nvidia AI server form factor from HGX (8 GPU per node) to Oberon (NVL72 rack scale). While the HGX form factor still exists, the majority of Nvidia’s Blackwell GPUs are integrated in the Oberon form factor. Rubin will also be offered in both HGX and Oberon systems.
Evidence
Nvidia offered two SKUs of Blackwell Oberon: GB200 NVL72 and GB200 NVL36x2
Context After
Unlike Blackwell, Rubin is only offered in the VR NVL72 SKU. The set up is very similar to that of GB200/GB300 NVL72. Each VR NVL72 system consists of:
② Atomic Claim
Nvidia 為 Blackwell Oberon 提供兩種 SKU：GB200 NVL72 與 GB200 NVL36x2。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "02_companies/NVDA",
"label": "Nvidia"
},
"role": "subject"
},
{
"node": {
"id": "04_knowledge_base/Blackwell",
"label": "Blackwell"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/NVIDIA Oberon",
"label": "Oberon"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/GB200 NVL72",
"label": "GB200 NVL72"
},
"role": "participant"
},
{
"node": {
"id": "04_knowledge_base/GB200",
"label": "GB200"
},
"role": "participant"
}
],
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"relation_type": "PROVIDES"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| subject | Nvidia | NVDA |
| participant | Blackwell | Blackwell |
| participant | Oberon | 04_knowledge_base/NVIDIA Oberon |
| participant | GB200 NVL72 | 04_knowledge_base/GB200 NVL72 |
| participant | GB200 | GB200 |
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。