VR2-0775

① SA Source

Context Before

image

Source: SemiAnalysis AI TCO Model

Evidence

with same marketed memory bandwidth of 8TB/s

Context After

Given that total cost of ownership is only 1.75x higher, this results in a superior performance-per-TCO profile for B300 despite the more modest marketed figures. Such a wildly different result despite very similar specs underscores that real world performance is not dictated by peak FLOPS or memory bandwidth alone. Software and network capabilities are also major factors that contribute to training and token throughput in real workloads.

Rubin and MI4XX will ship with new microarchitectures, real world performance is especially difficult to predict without and benchmarking like we do with InferenceX.

② Atomic Claim

B300MI355 的 marketed memory bandwidth 同為 8TB/s。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "BANDWIDTH",
  "context_nodes": [
    {
      "id": "04_knowledge_base/MI355",
      "label": "MI355"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/NVIDIA B300",
    "label": "B300"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "8TB/s"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "8TB/s"
    ],
    "value_text": "B300 與 MI355 的 marketed memory bandwidth 同為 8TB/s。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityB30004_knowledge_base/NVIDIA B300
context_0MI355MI355

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。