100 parallel Harbor rollouts on Tensorlake hit 47 rollouts/min at just 37¢ per batch
Wild_Independent_518 · reddit · 2026-11-11
A writeup on running 100 parallel Harbor rollouts on Tensorlake's cloud:
- Concurrency 1: 0.6 rollouts/min, median 89.9s per rollout; concurrency 10: 6.0/min, 30/30 passed; concurrency 100: 47 rollouts/min, median 110.6s, 300/300 passed.
- Cost: about 37¢ per batch.
Takeaway: scaling is nearly linear — per-rollout latency only rises from 90s to 110s — making serverless cloud a very economical substrate for massively parallel RL/eval rollouts. A replicable cost-effective pattern for agent training and evals needing massive environment interaction.
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