Identify idle GPUs across teams; Automatically schedule high-priority jobs; Monitor GPU health to prevent training failures; Allocate unused GPU resources to other teams; Provide visibility into GPU usage for decision-makers
Backed by Y Combinator W26; Addresses a $240B problem of wasted GPU capacity; Claims to reduce AI infrastructure costs by up to 50%