DeepSeek V4 Unveils Production-Grade Agent Sandbox DSec

ME News reports that on April 24 (UTC+8), according to monitoring by Beating, the DeepSeek V4 technical report publicly unveiled the core infrastructure supporting agent post-training and massive evaluation: the production-grade elastic computing sandbox, DSec (DeepSeek Elastic Compute). Current large model reinforcement learning requires an extremely large code experimentation environment. The report reveals that in real-world production, a single DSec cluster can simultaneously orchestrate hundreds of thousands of concurrent sandboxes. Built in Rust and integrated with the proprietary 3FS distributed file system, DSec overcomes the performance bottleneck of cold-starting massive sandboxes through hierarchical on-demand loading. For developer experience, DSec unifies four execution backends—function calls, containers, micro virtual machines, and full virtual machines—under a single Python SDK, requiring only a single parameter change to switch between them. To address the common issue of task preemption in compute clusters, DSec introduces a global trajectory log: when a task resumes, the system directly "fast-forwards" and replays cached command execution results, enabling ultra-fast checkpoint recovery while avoiding non-idempotent errors caused by redundant execution. (Source: BlockBeats)