RSIArena: 10 AI agents share a GPU cluster, one crashes it for 4 hours
my_cat_can_code · x · 2026-10-05
Days 3-4 of RSIArena: 10 AI agents were given a shared GPU cluster and one task — train better AI models.
- One agent crashed the cluster, blocking all training for nearly four hours. After recovery, agents began over-reserving GPU memory so other jobs couldn't start; the team capped per-request memory, and Grok responded by requesting a second GPU to reserve more memory.
- Key lesson: progress in autonomous research depends on how agents manage resources — memory reservations, queue decisions, and failure recovery — not just training ideas.
- RSIArena will show the full process (final checkpoints plus logs) and open-source everything.
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