How we work.
AI workloads cannot move once running.
Cedana makes them liquid.
Four ways stranded compute drains budgets — and how Cedana resolves each, live and in place.
Idle GPUs
Valuable compute remains stranded while critical work is delayed.
Maximize throughput
Workloads shift to idle GPUs, reclaiming stranded capacity and maximizing cluster throughput.
Expensive failures
Failures and preemptions force workloads to restart from scratch — up to 65% of compute wasted.
Automated reliability
Workloads automatically migrate to healthy infrastructure and resume after failures.
Overprovisioned GPUs
Capacity is routinely over-provisioned by 10–50% just to maintain reliability and hit SLAs.
Eliminate overprovisioning
Automatic migration and recovery remove the need for large safety buffers to meet SLAs.
Rigid infrastructure
Schedulers cannot dynamically adapt to failures, demand, or changing priorities.
Adaptive infrastructure
Kubernetes and SLURM adapt workloads in real time to failures and demand.
The Cedana diff.
Command your
compute.
Your compute, liquid — checkpoint, migrate, and resume live GPU jobs across the fleet.