Managed Kubernetes Clusters as a Service

GPU-accelerated, fully managed container orchestrator optimized for modern AI workloads

End User Self Service

Simple and Intuitive
End user self-service experience to configure, launch and use a Managed Kubernetes Cluster with GPUs.

Multi-Version Support

Stay Current
Support for multiple Kubernetes versions with automated upgrade paths and rollback capabilities.

High Availability Control Plane

99.9% Uptime SLA
Multi-master setup with automated failover and distributed etcd for maximum reliability.

Automated Cluster Lifecycle

Hands-Off Operations
Automated cluster provisioning, scaling, upgrades, and patching with zero downtime.

CNI Plugin Support

Flexible Networking
Choose from Cilium, Calico, or Flannel for pod networking and network policies.

RBAC & Security Policies

Enterprise Security
Built-in RBAC, Pod Security Standards, and Network Policy enforcement.

Load Balancer Integration

Automatic Load Balancing
Native integration with cloud load balancers and ingress controllers.

Latest GPUs

From NVIDIA, AMD, and Intel
Support for state-of-the-art GPU models such as H100, A100, and more.

AI/ML Ready

Quick Deployments
Accelerate setup with pre-installed GPU Operator for Kubernetes.

Integrated Metrics

Real-Time Usage Monitoring
View Kubernetes metrics and GPU metrics from the user console.

Metering

Accurate Resource Accounting
Precise, per-second metering for tracking resource usage to support billing and reporting.

Block Storage

Integrated Storage
Turnkey integration with CSIs from Rook/Ceph, DDN, Weka, Vast Data and others.