Case Studies

Customer outcomes from real GPU infrastructure transitions.

See how ML and platform teams cut training time, reduce queue uncertainty, and speed up enterprise approval cycles.

Orion Labs

4x faster nightly retraining (42 hours to 11 hours)

Moved scheduled training to reserved clusters and used project-level budget controls to keep costs predictable.

Atlas Robotics

63% lower average queue wait for simulation and training

Adopted a blended on-demand and reserved strategy, then routed critical jobs through priority capacity windows.

Northline Health

Completed procurement and security review in 21 days

Used trust documentation and exportable billing data to unblock legal, security, and finance signoff.