NIEK2-0002

回到這篇 SA Coverage

① SA Source

Context Before

image

Source: Nvidia

Evidence

At GTC 2026, Nvidia delivered an event packed full of ground breaking announcements. Nvidia’s pace of innovation is not showing any signs of slowing, as they introduced three entirely new systems this year: Groq LPX, Vera ETL256, and STX. Also announced were updates to Nvidia’s Kyber rack architecture system, CPO making its debut for scale-up networking with the unveiling of the Rubin Ultra NVL576 and Feynman NVL1152 multi-rack systems. Early hints on Feynman’s architecture was also a key topic. A Jensen callout for InferenceX during the keynote was a highlight. ↗

Context After

This is our GTC 2026 recap, and we will address many of the key questions that have been left unanswered by Nvidia. Specifically, we will go through the LPX rack and LP30 chip and explain how attention and feed forward network disaggregation (AFD) works; more details on the various rack architectures behind NVL144, NVL576, and NVL1152 and clarify just how much optics will be inserted as well as the rationale behind the dense Vera ETL256. The next generation Kyber rack had some big updates and some hidden details.

Groq

② Atomic Claim

Nvidia 推出了 Groq LPX。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/Groq LPX",
    "label": "Groq LPX"
  },
  "predicate": "INTRODUCES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "02_companies/NVDA",
    "label": "Nvidia"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
subjectNvidiaNVDA
objectGroq LPX04_knowledge_base/Groq LPX

⑤ V2 Draft(需要修正時直接編輯)

Inline repair

只編輯以下三個 Draft 區塊。完成後將 review_action 設為 REQUEST_REPAIR,再手動執行 Repair Preview。
執行腳本前,Draft 不會寫入 Claim Store 或 Graph。

V2 Atomic Claim Draft

Nvidia 推出了 Groq LPX。

V2 Semantic Frame Draft

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/Groq LPX",
    "label": "Groq LPX"
  },
  "predicate": "INTRODUCES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "02_companies/NVDA",
    "label": "Nvidia"
  }
}

V2 Revision Metadata Draft

{
  "epistemic_mode": "ASSERTED",
  "mapping_status": "COMPLETE"
}

⑥ 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。