Modern GPU Infrastructure for AI Teams

Schedule AI workloads, manage cluster health, and understand resource allocation with Trainy's platform.

Features 03

Backed By

Y Combinator Logo for Light ModeZ Venture Capital Logo for Light ModeLynett Capital Logo for Light Mode

Trusted By

Digital Ocean Logo for Light ModeDiffuse Bio Logo for Light ModePaperspace Logo for Light Mode

2x Cheaper, More Reliable, Source Available

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.

Trainy Konduktor

Designed for Developers

Goodbye Slurm, Hello Konduktor

Launch jobs and scale up with 0 code changes

1. Select Cloud

name: torch-ddp-bench


resources:

cloud: kubernetes

Trainy Konduktor in Action

Seeing is Believing

Testimonials

What Our Customers Say

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.


DillonErb

Dillon Erb

CEO at Paperspace (acq. Digital Ocean)

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.


DavianHo

Davian Ho

MLE at Diffuse Bio

Konduktor Platform

Interested?