VR2-0188

① SA Source

Context Before

We also think a lot this shift is driven by evolving memory economics. **Conventional DRAM pricing has risen sharply: **As DDR pricing increases, the relative premium of HBM compresses because pricing is more locked down in long term contracts, narrowing the cost gap between a GDDR-based CPX and lower-spec HBM configurations, therefore eliminating a lot of the cost benefits GDDR offers relative to performance. While memory bandwidth is not as important for pre-fill compare to decode, it is still necessary.

Compute Tray Redesign

Evidence

As Jensen put it at CES 2026, the cableless design reduces the compute tray assembly time from 2 hours to 5 minutes

Context After

image

Source: Nvidia VR NVL72 BoM and Power Budget Model

② Atomic Claim

Jensen 在 CES 2026 表示,cableless design 可把 compute tray assembly time 從 2 小時縮短至 5 分鐘。

  • Epistemic Mode: ATTRIBUTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "COMPUTE_PERFORMANCE",
  "context_nodes": [
    {
      "id": "04_knowledge_base/Compute Tray",
      "label": "compute tray"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/Cableless Design",
    "label": "cableless design"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "2026",
      "2",
      "5"
    ],
    "temporal_mentions": [
      "2026"
    ]
  },
  "value": {
    "numeric_mentions": [
      "2026",
      "2",
      "5"
    ],
    "value_text": "Jensen 在 CES 2026 表示,cableless design 可把 compute tray assembly time 從 2 小時縮短至 5 分鐘。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entitycableless design04_knowledge_base/Cableless Design
context_0compute tray04_knowledge_base/Compute Tray

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。