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AI research labs
From notebook to multi-node run, without leaving the platform
Give researchers GPU-ready dev environments, distributed training that scales, and a clean handoff from experiments to production — all under the same identity and quota model.
Outcomes
- Researchers ship from idea to multi-node training in days, not weeks
- Long jobs survive hardware blips with checkpoint-aware restarts
- Findings move to production through the same workspace, not a rewrite
What you'd use