NIEK2-0135

① SA Source

Context Before

image

Source: SemiAnalysis

Evidence

To support this memory usage, LPUs can access up to 256 GB of DDR5 per Fabric Expansion Logic FPGAs on the LPX compute tray

Context After

LPX Rack System

Let’s look at the LPX rack system, which has interesting details. Nvidia has displayed an LPX rack with 32 1U LPU compute trays with 2 Spectrum-X switches. This 32 tray 1U version that Nvidia has shown off at GTC is very close to Groq’s original server design before the acquisition. We believe that this server configuration is not the version that will be shipped in 3Q, with Nvidia implementing changes. Here, we will detail what we know about the actual production version. This was already detailed in the Accelerator model .

② Atomic Claim

為支援這些記憶體需求,LPX compute tray 上每顆 Fabric Expansion Logic FPGAs 最多可讓 LPU 存取 256GB DDR5

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "frame_type": "NARY_RELATION",
  "participants": [
    {
      "node": {
        "id": "04_knowledge_base/Groq LPX",
        "label": "LPX"
      },
      "role": "supporting_subject"
    },
    {
      "node": {
        "id": "04_knowledge_base/Compute Tray",
        "label": "compute tray"
      },
      "role": "supported_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/FPGA",
        "label": "FPGAs"
      },
      "role": "supported_entity"
    },
    {
      "node": {
        "id": "04_knowledge_base/DDR5",
        "label": "DDR5"
      },
      "role": "supported_entity"
    }
  ],
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "256GB"
    ],
    "temporal_mentions": []
  },
  "relation_type": "SUPPORTS"
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
supporting_subjectLPX04_knowledge_base/Groq LPX
supported_entitycompute tray04_knowledge_base/Compute Tray
supported_entityFPGAsFPGA
supported_entityDDR5DDR5

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。