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DeepSeek releases technical report on DSec, its Agent training sandbox infrastructureMachine translation

量子位 AI 报道··Original publication time
AI-assisted summary

DeepSeek has released a technical report on DSec, the sandbox infrastructure supporting DeepSeek-V4 training, evaluation, and data preprocessing. DSec uses composable environment layers and on-demand image loading for large-scale Agent workloads; in an experiment creating 8,192 containers in a burst, on-demand loading cut completion time from more than 60 minutes to about 35 minutes.

Why it matters

报告同时给出沙盒环境的工程设计和有比较基线的批量创建实验,为评估大规模 Agent 训练基础设施提供了具体数据。

DeepSeek releases technical report on DSec, its Agent training sandbox infrastructure

· 原发布时间
AI-assisted summary

DeepSeek has released a technical report on DSec, the sandbox infrastructure supporting DeepSeek-V4 training, evaluation, and data preprocessing. DSec uses composable environment layers and on-demand image loading for large-scale Agent workloads; in an experiment creating 8,192 containers in a burst, on-demand loading cut completion time from more than 60 minutes to about 35 minutes.

推荐理由

报告同时给出沙盒环境的工程设计和有比较基线的批量创建实验,为评估大规模 Agent 训练基础设施提供了具体数据。

材料 d91a1135fd5b4b789665bbcb6fd3489b;建议 7a328468d0dc45cc9edd7b026683e787;系统证据核验通过,非人工审稿。

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