Radar / AI infrastructure / DeepSeek Elastic Compute (DSec)
DeepSeek Elastic Compute (DSec): Sandbox Infrastructure for Agentic Training at Scale
DeepSeek's production sandbox platform behind all its RL training from V3.2 through V4.1: a unified SDK over FnCall, container, microVM, and full-VM backends serving about 3M sandboxes per day.
Why it matters
First public disclosure of RL-training infrastructure at this scale: millions of agent sandboxes per day on cheap CPU clusters, with built-in safeguards against agent misbehavior (reward hacking, environment damage) - a production blueprint no lab has published.
What you could build with it
Build an open DSec-style elastic sandbox pool: a multi-backend (container/microVM) orchestrator with on-demand image-layer loading and preemptible-RL-aware scheduling, aimed at open agent-RL projects that hand-roll Docker fleets today.
Does it hold up?
Paper only so far; no public code to evaluate. The design is production-proven inside DeepSeek (about 3M sandboxes/day), so the ideas are credible, but independent builders cannot use it yet.
Built with DeepSeek Elastic Compute (DSec)
- DeepSeek unveils AI agent training platform (36kr EN, Sept 23)news · 36kr English report on DSec's elastic sandbox design and scale.
- DeepSeek unveils AI agent training platform, warns of agent misbehavior risksnews · Seoul Economic Daily coverage of the DSec disclosure and its safeguards against reward hacking.
- DeepSeek DSec coverage (Sina finance, Sept 24)news · Chinese financial-press coverage of the DSec platform launch.
Learn more
First spotted on article: source.
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