60-70% of High-Performance Compute is wasted on preventable failures. Expanse predicts errors and optimises allocations before you submit.
Used by labs from
Infrastructure is expensive. Wasting it on silent crashes and unoptimised jobs destroys ROI.
Memory spikes kill training runs 10 hours in.
Requesting 1 GPU for a distributed ml training task.
Waiting days for resources that crash on launch.
Over-provisioning hardware by 2x to be "safe".

We tell you before
they crash.
The longer it runs, the more you save. No manual tuning.
One-line install. Connects seamlessly with your existing SLURM, Ray, or Kubernetes clusters.
Expanse's ML models inspect your job config and cluster state to predict failures automatically.
Get recommendations, avoid crashes, and stop wasting compute. Submit safer jobs instantly.
Every failed job burns compute budget and engineer time. See how much you could save.
Adjust the sliders to see your potential savings
Tailored to your organisation
Know a job will OOM before you submit. Models trained on millions of HPC jobs.
SLURM, Ray, Kubernetes, - manage one workflow across all your diverse infrastructure.
Data flows between steps at speed. No unnecessary overhead.
Full execution trails for regulated industries (MiFID II, FDA). Know who ran what, when.
"Expanse saved us a lot in one week by catching a low memory provisioning before we launched a 500-node training run."
"The pre-flight checks are a lifesaver. No more waiting 12 hours in queue just to fail effectively instantly."
Start a pilot in 2 weeks. If we don't deliver value, you've lost nothing.