Infrastructure optimization · Kubernetes-native

Experts in infrastructure optimization.

Coreoptimizer is a drop-in runtime layer for Kubernetes. We reshape the compute beneath your AI workloads, for lower cost, higher utilization, and calmer clusters, without a single change to your application code or manifests.

Start a drop-in trial → How we work
◆ Kubernetes 1.29+ ◆ CRI-O · containerd ◆ No application changes ◆ Reversible in one command ◆ Private alpha · by introduction
◆ What we do

We optimize the runtime, not the application above it.

Your application codeuntouched
Your manifests, charts, operatorsuntouched
Coreoptimizer · the runtime layerwe live here
Your nodes, GPUs, networkuntouched

No code changes. No manifest rewrites. No new SDKs. Your team keeps shipping while we quietly reshape what happens beneath them.

  • drop-inKubernetes installation available. Install once and the cluster above behaves exactly as it did yesterday.
  • reversibleRoll back in a single command. We earn the next decision every time we make one.
  • transparentEvery move is logged. Review it before it runs. Sign the rules off once, sleep through the rest.
Start a drop-in trial →
◆ How we work

A discipline, not a dashboard.

01 · measure

We start from your telemetry.

Before we move anything, we map where compute, cost, and reliability actually meet on your cluster, the point most teams never find.

02 · reshape

We optimize at the runtime.

Scheduling, placement, and resource allocation are reshaped beneath your workloads. The application above never knows, and never has to.

03 · hold

We keep you at the minimum.

Clusters drift. We hold the optimum as workloads change, and hand back control, logged and reversible, the moment you want it.

Find the minimum. We'll help you hold it.

We're working with a small number of teams running serious GPU fleets on Kubernetes. One inbox, real engineers, a reply within 48 hours.

Request a briefing → Join us