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🤖130-Author Paper Details DeepSeek Elastic Compute Sandbox Platform

A 130-author paper just detailed a new sandbox platform for agentic training

TL;DR

A 130-author paper outlines DeepSeek Elastic Compute (DSec), a sandbox platform for agentic training. DSec supports 380,000 concurrent sandboxes and 5,000 creations per second, reducing setup and image distribution overhead.

A paper with 130 authors details DeepSeek Elastic Compute (DSec), a sandbox platform for agentic training. DSec supports 380,000 concurrent sandboxes and 5,000 creations per second, reducing environment setup and image distribution overhead. This matters for teams working on reinforcement learning and high-density execution, as DSec offers memory efficiency and performance under high-density overcommit. The paper, submitted on September 19, 2026, includes 13 figures and 31 pages, expanding from an earlier version reviewed for ACM SIGOPS ATC 2026.

130-Author Paper Details DeepSeek Elastic Compute Sandbox Platform — arXiv.org

Key Points

1

Paper titled 'DeepSeek Elastic Compute (DSec)' submitted on September 19, 2026.

2

130 authors contributed to the paper, expanding from an earlier version.

3

DSec platform supports 380,000 concurrent sandboxes and 5,000 creations per second.

4

DSec coordinates placement and lifecycle management across the cluster.

5

DSec platform combines memory sharing, reclamation, and CPU scheduling for high-density execution.

Why It Matters

If you're working on reinforcement learning or high-density execution, DSec offers memory efficiency and performance under high-density overcommit. DSec supports 380,000 concurrent sandboxes and 5,000 creations per second, reducing environment setup and image distribution overhead. This is a game-changer for teams needing to scale agentic training.

DeepSeek Elastic ComputeDSecreinforcement learningagentic trainingsandbox platform

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