SA260324R-0222_r1

SA260324R-0222

① SA Source

• Source: 開啟完整 SA 文章
• Section: Oberon and Kyber Updates, Larger World Sizes Introduced, More Networking Updates
• Line hint: 272

Context Before

Nvidia provided a long-awaited update on its Kyber rack form factor, the latest addition to the lineup after Oberon having first been previewed as a prototype at GTC 2025. As a prototype, the rack architecture has continued to evolve, and we notice some changes. First, each compute blade has densified, with 4x Rubin Ultra GPU and 2x Vera each.

Evidence

There are a total of 2 canisters of 18 compute blades which amounts to 36 compute blades total for 144 GPUs in a rack.

Context After

The initial Kyber design featured 2 GPUs and 2 Vera CPUs in one compute blade, with a total of 4 canisters of 18 compute blades each.

② Atomic Claim

每個 rack 有 2 個 canister，每個 canister 含 18 個 compute blade，因此共 36 個 compute blade、合計 144 顆 GPU。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "attribute": "COUNT_PER_RACK",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/GPU",
    "label": "GPU"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": "canister 與 compute blade 沒有 canonical entity",
    "numeric_mentions": [
      "2",
      "18",
      "36",
      "144"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "2",
      "18",
      "36",
      "144"
    ],
    "value_text": "每個 rack 有 2 個 canister × 18 個 compute blade，共 36 個 compute blade、144 顆 GPU。"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
entity	GPU	GPU

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。