DeepSeek founder Liang Wenfeng is among 130+ authors on a new paper detailing DSec, the elastic compute sandbox platform behind the company's agent RL training.
DSec serves about 3 million sandboxes per day, with peak concurrency over 380,000 and creation speeds above 5,000 per second. One production unit runs roughly 160 CPU nodes, 30,000 cores, and 250TB of memory, hosting petabyte-scale images. A single training job can pull up 32,000 sandboxes at once.
All RL training and evaluation from V3.2 through V4.1 ran on DSec. The paper is dated September 19.
Our read: DeepSeek is showing the infrastructure moat behind its agent push, not just model weights. This is scale most labs won't replicate.
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