Modern GPU Infrastructure for AI Teams
Schedule AI workloads, manage cluster health, and understand resource allocation with Trainy's platform.
Backed By
Trusted By
2x Cheaper, More Reliable, Open Source
MosaicML Alternative
Reliability
Don't worry about high GPU fault rates. Our platform runs health checks intermittently and removes bad nodes when a training run crashes.
Control
Engineering leaders can control resource allocation among teams, adjust job priority, and understand historical usage.
Visibility
Our dashboard gives engineers and leaders visibility into workload status, cluster health, and advanced performance metrics.
Designed for Developers
Goodbye Slurm, Hello Konduktor
Launch jobs and scale up with 0 code changes
name: torch-ddp-bench
resources:
cloud: kubernetes
Trainy Konduktor in Action
Seeing is Believing
Testimonials
What Our Customers Say
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The Trainy team knows exactly what needs to work in a GPU cluster to get it ready for AI teams. They've been an essential resource in getting Digital Ocean/Paperspace GPUs battle-tested for customers and I highly recommend working with them.
Dillon Erb
CEO at Paperspace (acq. Digital Ocean)
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Trainy quickly helped us speed up our model trainings by 4x and scale by over 100x. They were an essential resource for troubleshooting our issues with GPU performance and distributed training.
Davian Ho
MLE at Diffuse Bio