clm_b287d96ac0b5483e8b2c3716a45f02c6_r1

IX2-0517

① SA Source

• Source: 開啟完整 SA 文章
• Section: GPT-OSS 120B Single Node
• Line hint: 740

Context Before

Source: SemiAnalysis InferenceX ↗

GPT-OSS 120B Single Node

Evidence

Within MI355X, ATOM shifts the curve toward higher throughput at low interactivity, suggesting it prioritizes peak throughput over per-user responsiveness

Context After

Above that tier sits NVIDIA’s B200 and GB200, which outperform MI355X across the frontier. While B200 and GB200 share the same Blackwell compute die, GB200 achieves a higher throughput–interactivity curve because the platform and serving stack reduce non-compute bottlenecks at scale (interconnect/topology, CPU-GPU coupling, and runtime scheduling), translating into effective scale-out and less overhead per token.

② Atomic Claim

在 MI355X 上，ATOM 會讓曲線往低 interactivity、高 throughput 的方向移動，顯示其更偏重峰值吞吐量而非單一使用者回應速度。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/AMD ATOM inference engine",
    "label": "ATOM"
  },
  "predicate": "USES",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "04_knowledge_base/MI355X",
    "label": "MI355X"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
subject	MI355X	MI355X
object	ATOM	04_knowledge_base/AMD ATOM inference engine

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。