We find what breaks
in GPU infrastructure, and we fix it.
Caladrius is root-cause analysis and closed-loop remediation for GPU infrastructure. When a job stalls or slows, it traces the problem below the application layer, across device, fabric, storage, and workload, then drives the fix on your approval and verifies it held.
GPU clusters degrade before they fail, and both happen beneath the application layer. Keeping them reliable is an infrastructure-software problem: distributed systems, automation, operations at scale. We have built that software before. The team founded ReleaseIQ, an SRE and ops-automation platform acquired by CloudBees, after years at VMware and WebLogic.
GPU infrastructure fails in ways general tooling can't see. A slowdown or failure in one layer can silently stall thousands of GPUs, with the root cause buried deep in the stack, and resolving it today costs hours of hand-correlation. Our mission is to close that gap: name the root cause, drive the fix, and verify the outcome, after a failure or ahead of one.
Four promises
Restarts and reroutes keep a job limping. We go after the actual cause, so the same failure doesn't come back tomorrow.
Nothing changes in your cluster without your approval, and every change is verified against what the system actually did. If it didn't hold, you know.
Device, fabric, scheduler, training, and serving failure modes are our home ground, not an integration afterthought.
A precursor pattern gets the full loop, not just an alert: the same diagnosis, fix, and verification, before the job goes down. The cheapest incident is the one that never opens.