IX2-0518
① SA Source
- Source: 開啟完整 SA 文章
- Section:
GPT-OSS 120B Single Node - Line hint:
742
Context Before
GPT-OSS 120B Single Node
MI300X, MI325X, H200, and H100 group in the lower-left of the throughput vs interactivity plot, indicating broadly similar tradeoffs, with Nvidia generally holding a modest lead. The next step up is MI355X, which delivers roughly more than 2x higher token throughput per GPU at a given interactivity level, relative to that first group. Within MI355X, ATOM shifts the curve toward higher throughput at low interactivity, suggesting it prioritizes peak throughput over per-user responsiveness.
Evidence
Context After
Source: SemiAnalysis InferenceX ↗
② Atomic Claim
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"comparison_expression": "更高一層則是 NVIDIA 的 B200 與 GB200，兩者在整條 frontier 上都優於 MI355X。",
"entities": [
{
"id": "02_companies/NVDA",
"label": "NVIDIA"
},
{
"id": "04_knowledge_base/NVIDIA B200",
"label": "B200"
},
{
"id": "04_knowledge_base/GB200",
"label": "GB200"
},
{
"id": "04_knowledge_base/MI355X",
"label": "MI355X"
}
],
"frame_type": "COMPARISON",
"metric": "UNSPECIFIED_METRIC",
"operator": "OUTPERFORMS",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| comparison_entity_0 | NVIDIA | NVDA |
| comparison_entity_1 | B200 | 04_knowledge_base/NVIDIA B200 |
| comparison_entity_2 | GB200 | GB200 |
| comparison_entity_3 | MI355X | MI355X |
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。