IX2-0597
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Adding TPU, Trainium and More Models - Line hint:
816
Context Before
With the rise of Claude Code, Codex, and Kimi, it is becoming increasingly important to benchmark performance in agentic coding scenarios. Like above, these scenarios are multi-turn but also include extremely long context conversations as well as tool use. In the next few months, we plan on creating a benchmark suite that will most accurately capture the performance of open models in these agentic coding scenarios across all chips.
Adding TPU, Trainium and More Models
Evidence
Context After
In addition to new models, we are actively working on adding both TPU and Trainium.
Total Cost of Ownership (NVL72, Blackwell, Blackwell Ultra, MI355, Hopper, MI325, MI300)
② Atomic Claim
為跟上最新 model architectures,團隊計畫在未來數月加入 DeepSeek V3.2(含 DSA)、Day 0 支援 DeepSeek V4、Kimi K2.5、Qwen3、GLM5 等模型。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "SUPPORT_STATUS",
"context_nodes": [],
"entity": {
"id": "02_companies/DeepSeek",
"label": "DeepSeek"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"2",
"0",
"5"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"2",
"0",
"5"
],
"value_text": "為跟上最新 model architectures,團隊計畫在未來數月加入 DeepSeek V3.2(含 DSA)、Day 0 支援 DeepSeek V4、Kimi K2.5、Qwen3、GLM5 等模型。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | DeepSeek | DeepSeek |
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。