VR2R-0649
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Ethernet-Based Cluster Deployments - Line hint:
558
Context Before
Some of Nvidia’s CPO SKUs—such as the SN6800 and Q3450—contain such a fiber shuffle within the switch box, with each optical engine fanning out to different logical ports. They therefore deliver higher aggregate bandwidth—409.6T and 115.2T respectively—than is possible with a switch box based on a single Switch ASIC.
Evidence
For the SN6800 CPO switch, even though the bandwidth engine responsible for converting electrical to optical signals scales from 1.6T to 3.2T or 2x compared to the SN6600 switch, each 3.2T OE within the SN6800 switch box is split into four 800G logical ports that fan out within the box itself and exit the front panel through fiber connectors.
Context After
This allows a single 1.6T GPU to fan out to two independent switch planes.
② Atomic Claim
對 SN6800 CPO switch 而言,負責 electrical-to-optical signal conversion 的 bandwidth engine 相較 SN6600 從 1.6T 提升到 3.2T、也就是 2 倍;SN6800 內每個 3.2T OE 又會在 box 內拆成 4 個 800G logical ports,並透過 fiber connectors 從 front panel 輸出。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "04_knowledge_base/SN6800",
"label": "SN6800"
},
"role": "switch_platform"
},
{
"node": {
"id": "04_knowledge_base/CPO",
"label": "CPO"
},
"role": "technology"
},
{
"node": {
"id": "04_knowledge_base/Optical Engine",
"label": "OE"
},
"role": "optical_component"
}
],
"qualifiers": {
"condition_text": "comparison is versus SN6600; logical ports and fiber connectors are plain text",
"numeric_mentions": [
"1.6T",
"3.2T",
"2x",
"4",
"800G"
],
"temporal_mentions": []
},
"relation_type": "SN6800_OPTICAL_ENGINE_SPLITS_3P2T_INTO_FOUR_800G_PORTS"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| switch_platform | SN6800 | SN6800 |
| technology | CPO | CPO |
| optical_component | OE | 04_knowledge_base/Optical Engine |
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。