三星電子系統LSI部門將Anthropic的Claude Code引入半導體設計與驗證流程，部分芯片測試周期從一個月以上縮短至兩天，開發效率提升約15倍。該工具今年5月先向軟件開發者開放，現擴展至硬件領域。在一項含64條複雜數據通路的定製SoC項目中，Claude Code僅用兩天便完成虛擬測試環境搭建與驗證。
谷歌正祕密研發專用芯片Frozen v2，應對AI算力壓力。該芯片將Gemini大模型底層計算邏輯直接固化於硬件，性能功耗比預計可達現役自研芯片的6至10倍。這種軟硬融合的設計從架構上重塑算力生態，意在顯著提升運算效率。
Anthropic啓動自研AI芯片早期籌備，正與三星洽談製造合作。團隊正規劃芯片功能定位、算力規格及服務器集羣部署架構，標誌着大模型競爭向硬件底層延伸。
英偉達的競爭對手 Etched 宣佈完成臺積電代工的專用芯片系統，該系統名爲“前沿推理集羣”，整合芯片、機架與軟件，已獲 10 億美元訂單，正進行客戶測試，旨在通過硬件級優化解決 AI 推理的高成本瓶頸。
Bytedance
$0.8
輸入tokens/百萬
$2
輸出tokens/百萬
128
上下文長度
$0.15
$1.5
256
Alibaba
-
32
Tencent
$3
$9
16
Baidu
$1
4
Google
$0.35
$0.7
131
Chatglm
$10
$0.1
$0.4
$100
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