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Background

LKE: Managed Kubernetes Engine

Run containerized and AI workloads on production Kubernetes, without the operational overhead

OVERVIEW

Run Kubernetes. Not the control plane.

Deploy, manage, and scale containerized and AI workloads without worrying about control plane uptime, node failures, or version upgrades. LKE is a CNCF-certified, production-ready Kubernetes environment on Akamai Cloud. It provides GPU node pools and a pre-integrated open source AI stack within a single cluster.

Built for builders who need portability and control

Managed control plane included

Skip control plane ops. Deploy fast with a managed, CNCF-certified control plane at no extra cost.

Scale with transparent pricing

Know what you pay for. Fully managed control plane, transparent node and storage pricing, and egress at $0.005/GB.

Use your existing tools with open standards

Automate your way with Akamai Cloud API, CLI, and Terraform providers that plug into your CI/CD workflows.

Self-healing by default

Configurable pods for automatic recovery and node failure rescheduling in seconds.

HOW IT WORKS

Choose the right managed Kubernetes tier for your team

LKE: Start simpleLKE Enterprise: Scale with confidence
Free control plane (HA option $60/cluster)Dedicated HA control plane, flat $300/month
Up to 250 nodesUp to 500 nodes
Calico CNICilium CNI (better performance)
Standard NodeBalancers (Load Balancer)Premium NodeBalancers, VPC isolation, and enhanced security
Access Akamai’s growing fleet of GPU nodesSame GPU node pools, plus clusters to 5,000 GPUs

One cluster, five layers

Build on the Akamai global network, with CDN delivery, edge security, and $0.005/GB egress. Add GPU and CPU compute, and Block and Object Storage. Run LKE or LKE Enterprise on top, then App Platform for the AI stack, then your workloads.

Akamai architecture diagram detailing AI workloads, App Platform for LKE, compute, and global network components.
AI WORKLOADS

AI workloads on LKE

Run inference, RAG pipelines, fine-tuning, and agents on the same managed Kubernetes platform as the rest of your applications

GPU compute

Nodes powered by NVIDIA RTX PRO™ 6000 Blackwell Server Edition® and RTX 4000 Ada GPUs, supporting up to 8 GPUs per node with dedicated vCPU cores.

A pre-integrated AI stack

App Platform for LKE ships KServe, Kubeflow Pipelines, Istio, Knative, and Open WebUI, tested and version-matched together.

Reference architectures

Published guides for LLM inference, RAG pipelines, and GPU fine-tuning, so you start from a working deployment.

Seamless migration, pre-integrated tooling, zero friction

The platform tools, already assembled

Add App Platform to any LKE cluster in one click and get Argo CD, Harbor, CloudNative-pg, Prometheus, Grafana, Loki, Sealed Secrets, cert-manager, and Istio already integrated. Packages are CNCF-certified or open source, cutting down the need for complex migration projects.

Moving from EKS, GKE, or AKS

Bring your existing manifests, Helm charts, and CI/CD pipelines. LKE is CNCF-certified and upstream compatible, so migration is a redeployment rather than a rebuild. Start with the GKE migration guide, or talk to a solutions architect about your cluster.

Empowering engineers, accelerating developers

LKE for platform engineers

Govern with guardrails using labels, taints, RBAC, and version policies to standardize clusters. Automate with API, CLI, and Terraform integrations that support fleet management and GitOps. Stay flexible by choosing your preferred CNI.

LKE for developers

Bring your stack with Helm, Operators, and the broader CNCF ecosystem. Focus on code while LKE manages control-plane operations, maintenance, and recovery so you can ship features faster.

FEATURES

Key LKE-managed Kubernetes capabilities

Simplify Kubernetes operations with built-in security, automated scaling, and high availability across distributed cloud environments, with the flexibility to support AI and inference workloads.

Deploy clusters fast

Get a production-ready Kubernetes cluster in minutes. No complex setup, no control plane management, no YAML.

Keep workloads open and portable

CNCF-certified and upstream compatible. Your manifests, Helm charts, and tooling just work: no lock-in, no surprises.

Scale for performance and AI inference

Node pools, autoscaling, and NVIDIA RTX PRO™ 6000 Blackwell GPU nodes with up to 8 GPUs per node and dedicated vCPU.

Features

  • Spin up production-ready clusters in minutes using Cloud Manager, CLI, or API
  • Add App Platform for LKE in one click for a pre-integrated CNCF stack: KServe, Kubeflow, Istio, Knative
  • Keep clusters aligned with the latest Kubernetes releases through automated, zero-downtime version updates
  • Add or remove nodes automatically as workloads change, with built-in data encryption for every node pool
  • Move data at $0.005/GB egress, with Akamai CDN available on the same platform
  • Handle everything from dev/test to production-grade, multi-team, and AI workloads
  • Add NodeBalancers when you need them, or upgrade for advanced routing and higher throughput
  • Get VPC isolation and enhanced network security on LKE Enterprise to meet compliance and multi-tenant requirements
  • Choose your CNI: Calico on LKE for simplicity or Cilium on LKE Enterprise for performance and observability

Use CNCF-certified Kubernetes without lock-in

We are part of CNCF’s Certified Kubernetes Conformance Program. This means your LKE workloads conform to portability standards, and you’ll always have access to the latest updates and features.

Customer Stories

Deepsolver

Deepsolver Unified Global AI Inference

AI poker solver provider unified global infrastructure while improving latency, scalability, and cost predictability

Eyevinn Revolutionized Open Source Deployment

The consultancy powered its innovative open source platform and sustainable revenue-sharing model with Akamai Cloud.

MTI Streamlined Operations in the Cloud

Used Akamai cloud computing services to enhance IT infrastructure and slash costs.

SharePlay

SharePlay Optimizes Gaming Experiences

The live-streaming platform gained high performance and low latency while reducing costs by migrating from AWS to Akamai.

Frequently Asked Questions (FAQ)

Frequently Asked Questions (FAQ)

LKE offers shared control plane clusters for small to mid-scale workloads. LKE E provides a dedicated HA control plane, private networking, and SLA-backed reliability for production workloads.

Kubernetes versions: See latest available versions
API: Full Kubernetes API compatibility
Regions: Availability
Compute: Shared, Dedicated, High Memory, GPU
Storage: Persistent volumes via Block Storage
Networking: 40 Gbps inbound, free ingress

Yes. You can migrate existing clusters using the same Kubernetes version and manifests.

LKE Enterprise includes a 99.9% SLA on the control plane and worker nodes. LKE provides best-effort uptime with standard Akamai support.

Yes: your costs begin and end with the resources you deploy (nodes, storage, load balancers). But if you choose the HA control plane, there is a cost associated with it.

LKE uses Calico for pod networking. LKE Enterprise uses Cilium, which adds eBPF performance and observability, along with VPC isolation. Network policies are available on both tiers.

LKE and LKE Enterprise track upstream Kubernetes on separate release schedules, so the versions available on each tier can differ. See the current list in the documentation. Automated, minimal downtime upgrades are included on both.

GPU node pools use NVIDIA RTX PRO™ 6000 Blackwell Server Edition® and RTX 4000 Ada, with up to 8 GPUs per node and dedicated vCPU cores. App Platform for LKE adds a pre-integrated open source AI stack, and published guides cover LLM inference, RAG pipelines, and fine-tuning.  

Yes. LKE supports scalable AI inference workloads. It features native GPU support, GPU-aware autoscaling, and enterprise-grade networking and storage. Because LKE is CNCF AI Conformant, workloads meet recognized industry standards without the complexity or cost of hyperscale providers.

CNCF certification means your Kubernetes environment meets a rigorous, vendor-neutral standard for reliability, compatibility, and interoperability. In practice, it means your workloads, tools, and APIs behave consistently whether you'’re running on LKE or anywhere else in the cloud native ecosystem. For AI teams specifically, CNCF AI Conformance means LKE has been validated for the workload patterns and infrastructure requirements that modern AI deployment demands. You get the confidence of a proven standard without vendor lock-in.

Explore resources to deploy AI on Kubernetes

See if you qualify for up to US$5,000 in cloud credits

See if you qualify for up to US$5,000 in cloud credits

We’re here to help you with large-scale deployments, migrations, app optimization, architecture assessments, security and reliability audits, and much more. For support or account issues, please visit our support page.