Kubernetes GPU Cost Optimization for AI/ML Workloads
Reduce Kubernetes GPU costs for AI/ML workloads — rightsizing, utilization, scheduling, and MIG partitioning.
Build CI/CD pipelines visually or declare them as GitOps code. Source, build, scan, deploy, and promote across every cluster — with guardrails, rollbacks, and a full audit trail baked into every run.
GitHub, GitLab or Bitbucket. Atmosly reads what's already running.
Cached image builds with Kaniko — no privileged Docker daemon.
Security & policy checks gate the artifact before it ships.
Roll out to any cluster — EKS, GKE, AKS or on-prem.
Change-window, approvals & audit trail to production.
Connect GitHub, GitLab, or Bitbucket. Atmosly inspects the services you already run, so you're not authoring pipelines from a blank file.
Drag stages together in the visual builder, or declare the whole pipeline as code and let GitOps reconcile it. Same engine, same guardrails, either way.
Every run builds a cached image, runs security and policy checks, deploys to the target cluster, and reports the cost delta — all visible on one screen.
Promotion runs through change-window checks, approvals, and a recorded audit trail — and every release carries a one-click rollback.
The capabilities you'd normally stitch together from five tools — built into one engine.
Drag stages in the visual editor or declare them as code — both compile to the same run, with the same guardrails and the same audit trail.
One pipeline targets EKS, GKE, AKS, or on-prem. No per-cloud rewrites, no separate tooling per environment.
Kaniko image builds with layer caching — fast, and no privileged Docker daemon in your cluster.
Every release records a rollback. Revert a bad deploy in one click — no runbook, no scramble.
Pull from your secret manager at deploy time — nothing baked into images or stored in plain text.
See the cost delta a change introduces before it reaches production — surfaced inline on the run, not waiting on next month's bill. The same cost signal the Operations core uses, right where you ship.
*Representative of customer-reported outcomes. Your results depend on team and workload mix.
Build, run, and provision share one UI, one audit trail, and one permissions model.
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Connect a repo and a cluster, read-only to start. See your services detected and a pipeline drafted in minutes — visual or as code. Free, no sales call.