DeepSeek details DSec, an elastic sandbox compute platform for scaling agentic AI training workloads

A new arXiv paper introduces DeepSeek Elastic Compute, or DSec, described as a sandbox infrastructure for effective agentic training at scale. The paper lists a large DeepSeek-led author group and frames DSec as support for training AI agents that require distributed, parallel, and cluster computing resources.

The work signals growing investment in agentic AI infrastructure, where models need safe, scalable environments to run tools, interact with systems, and learn from complex workflows. If DSec proves robust, it could help standardize how labs build elastic sandboxes for large-scale agent training rather than relying on ad hoc compute setups.