VR2-0335
① SA Source
- Source: 開啟完整 SA 文章
- Section:
PCB vs Flyover Cables - Line hint:
437
Context Before
Dielectric loss is driven by the energy absorption nature of the dielectric materials. Dielectric materials, resins and glass fiber cloth, provide insulation and mechanical reinforcement function for the PCB traces. At high frequency, high-speed signal doesn’t simply travel through the copper traces, the signal traves as an electromagnetic wave with electric field extending into the dielectric materials. As the signal propagates, the dielectric absorbs a portion of the energy and dissipates as heat, contributing to insertion loss. Dielectric loss scales with frequency, hence dielectric loss is a dominant limiter of signal performance of long reach PCB traces.
Geometry loss describes the insertion loss incurred from abrupt structures of the PCB traces. Real PCB channels include many abrupt structures, such as vias and layer swaps. These are like bumps in a highway, and signals could reflect backward and be interrupted increasing insertion loss.
Evidence
Context After
In conclusion, insertion loss scales with signal frequency, and high-speed signal suffers more insertion loss from PCB than from fly over cables. Hence, as traditional CPU servers upgrade to higher signaling frequencies such as upgrading to newer PCIe generations, the CPU server design increases the adoption of fly over cables to compensate for insertion loss from the PCB. The alternative solution would be upgrading PCB materials, however, fly over cables are more cost effective and remain feasible for traditional server applications.
For VR NVL72, the design has turned toward cableless given the higher density and manufacturing complexity of AI server. The cost saved on improving higher manufacturing yields and assembly time reduction more than offsets the higher cost of the upgraded PCB materials. It is critical that all the factors that contribute towards insertion loss in the PCB are mitigated, hence PCB material upgrades are necessary for VR NVL72. We break down the cost by component here ↗.
② Atomic Claim
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "COUNT",
"context_nodes": [
{
"id": "04_knowledge_base/PCB",
"label": "PCB"
}
],
"entity": {
"id": "04_knowledge_base/GPU",
"label": "GPU"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [],
"value_text": "隨每顆 GPU 的 I/O 數量增加,PCB 上的 lane density 也上升。"
}
}④ Canonical Entity Mapping
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。