SERVERLESS KUBERNETES

Fully managed Kubernetes - for scaling into the future of AI

Deploy AI/ML workloads on top-tier GPUs with fully managed, autoscaling Kubernetes.

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What is Serverless Kubernetes?

Fully managed Kubernetes for AI that abstract your GPU nodes, load balancers, and infrastructure. Autoscale cloud-native workloads with native Helm integrations.

HOW IT WORKS

  • Effortless
    scaling

    Auto-scaling with no GPU nodes, load balancers, or cluster configurations to manage.

  • Fast
    starts

    We’ve optimized every step to minimize latency from cold start to first token.

  • Safe
    & secure

    Complete isolation via a separate control plane to keep your data private.

  • Cost-efficient
    scaling

    Save by scaling inference based on real-time demand, and only pay for what you use with nothing left idle.

WHY SERVERLESS KUBERNETES

Pre-configured by experts to streamline ambitious builds

  • SPEED
    5s
    Or less to start-up and go
  • SCALE
    1000+
    GPUs to build with

Frictionless setup, vanilla Kubernetes

Works with your existing container workflows—no need to rewrite for custom runtimes or repackage for Kubernetes. Spin up endpoints in minutes with native Kubernetes compatibility.

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How it compares to a traditional Kubernetes

Traditional KubernetesOri Serverless Kubernetes
Requires managing clusters, load balancers, GPU scheduling.Fully managed - no clusters, node pools, or infra config.
Manual autoscaling setup (HPA, VPA, node pools); slow and coarse.Automatic autoscaling, fine-grained scaling from zero to peak load.
High-containers spin up, models load, weights fetch.Sub-second starts with prebuilt containers, model caching & fast provisioning.
Multi-week setup time (Terraform, K8s, autoscalers, observability stack).Ready in minutes - built-in autoscaling, monitoring, and routing.
High DevOps overhead - requires talent to run and maintain.Low DevOps overhead - ML teams deploy and scale without touching infrastructure.
Pay for over-provisioned nodes, even when idle.Scale-to-zero removes idle GPU cost - only pay for active inference.
FLEXIBLE AI COMPUTE

Built for ML Workflows

Run model inference, fine-tuning, and batch processing—without managing infrastructure.

Why developers love Ori

Ori’s GPU costs have been very competitive and customer support has been superior to many other cloud providers we’ve tried.

Vinay Maniam
Founding Engineer, nCompass

Top-Tier GPUs.
Best-in-industry rates.
No hidden fees.

Pricing

Private Cloud

lets you build enterprise AI flexibly and in control

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Chart your own
AI reality

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