IX2-0022
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Key Observations and Results to Highlight - Line hint:
39
Context Before
Key Observations and Results to Highlight
We see competitive perf per TCO results on FP8 MI355X disagg+wideEP SGLang on AMD compared to FP8 B200 disagg+wideEP SGLang, but when compared to widely used Dynamo TRTLLM B200 FP8, TRT continues to framemog. This is amazing news that AMD SGLang Disagg prefill+wideEP for FP8 is able to match NVIDIA’s SGLang performance.
Evidence
Context After
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② Atomic Claim
在 single-node aggregated serving 中，AMD 的 SGLang 在 FP8 下，每單位 TCO 效能優於 NVIDIA 的 SGLang。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"comparison_expression": "在 single-node aggregated serving 中，AMD 的 SGLang 在 FP8 下，每單位 TCO 效能優於 NVIDIA 的 SGLang。",
"entities": [
{
"id": "02_companies/AMD",
"label": "AMD"
},
{
"id": "04_knowledge_base/SGLang",
"label": "SGLang"
},
{
"id": "04_knowledge_base/FP8",
"label": "FP8"
},
{
"id": "02_companies/NVDA",
"label": "NVIDIA"
}
],
"frame_type": "COMPARISON",
"metric": "COST",
"operator": "OUTPERFORMS",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| comparison_entity_0 | AMD | AMD |
| comparison_entity_1 | SGLang | SGLang |
| comparison_entity_2 | FP8 | FP8 |
| comparison_entity_3 | NVIDIA | NVDA |
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。