VR2-0752

① SA Source

Context Before

Helios memory costs are more likely to be passed through or re-priced by assemblers and therefore exhibit greater hikes in a memory upcycle. Therefore, we model lower memory price hikes for VR and GB compared to MI4XX below. Our MI400 rack assumptions reflect 6.77/GB for Nvidia, embedding volume discount structures vs the market contract price of $10.63/GB but reflecting the slack of volume economics vs NVIDIA.

Our AI Memory Model expects significant increases in LPDDR5 and DDR5 contract prices into 2Q26 and beyond and we expect to make further revisions higher in total server capex.

Evidence

the efficiency optimized Max-Q configuration runs at 1800W

Context After

Below we share detailed numbers on cost of servers, storage, networking, etc as well as what Nvidia plans to do with Groq.

image

② Atomic Claim

關於 Nvidia:以 efficiency 最佳化的 Max-Q configuration 則運行於 1,800W。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "EFFICIENCY",
  "context_nodes": [],
  "entity": {
    "id": "02_companies/NVDA",
    "label": "Nvidia"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "1,800W"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "1,800W"
    ],
    "value_text": "關於 Nvidia:以 efficiency 最佳化的 Max-Q configuration 則運行於 1,800W。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityNvidiaNVDA

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。