GB2-0026
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Networking - Line hint:
263
Context Before
As a quick refresher, the frontend networking is just your normal ethernet network that you use to connect to the internet, SLURM/Kubernetes, networked storage, data loading, model checkpoints. This network is typically 25-50Gb/s per GPU, so on a HGX H100 server, it will be 200-400Gb/s per server, while on a GB200 computer tray node, it will be 200-800Gb/s per server depending on the configuration.
Your backend network is used to scale out GPU-GPU communications across hundred to thousands of racks. This network could either be Nvidia’s Infiniband or Nvidia Spectrum-X Ethernet or Broadcom Ethernet. With the options from Nvidia being way more expensive compared to the Broadcom Ethernet solutions ↗.
Evidence
In general, your accelerator interconnect is 8-10x faster than your backend networking.
Context After
Lastly, there is your out of band management network which is used for re-imaging your operating system, monitor node health such as fan speed, temperatures, power draw, etc. Your baseboard management controller (BMC) on servers, PDUs, switches, CDUs are usually connected to this network to monitor and control these IT equipment.
NVLink Scale Up Interconnect
② Atomic Claim
Accelerator scale-up interconnect 一般約比 backend networking 快 8–10 倍。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"attribute": "relative_to_backend_network",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/NVLink",
"label": "NVLink"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"8-10x"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"8-10x"
],
"value_text": "accelerator interconnect is generally 8–10x faster than backend networking"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | NVLink | NVLink |
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。