DeepSeek日前發佈31頁系統論文，首次公開大規模智能體訓練專用沙箱基礎設施核心技術。論文題爲《DeepSeek彈性計算（DSec）：面向大規模智能體訓練的高效沙箱基礎設施》，9月19日提交，作者團隊超130人，創始人梁文鋒列末位。自研沙箱平臺DSec單單元日均服務300萬實例。
9月8日，DeepSeek啓動約150人工程師招聘，聚焦服務端開發與Agent彈性計算研發，重點招2至10年資深後端工程師，未設AI研究崗。這是繼6月全部門擴招後又一動作，顯示戰略重心從純模型研究轉向Agent工程化與基礎設施建設，涉及大模型研究平臺、Agent框架組件及DeepSeek API。
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