Fully Managed Kubernetes

Pre-configured, production-ready K8s clusters monitored, maintained, and optimized for AI.
Get started
Trusted by leading AI labs and fast-scaling startups like these:

Kubernetes, built for GPU performance

Reduce operational overhead across bare metal and Ethernet infrastructures with clusters tuned for high-throughput AI workloads.

01
NVIDIA GPU Operator
02
Prometheus and Grafana
03
SentinelOne
04
Managed updates and remediation

Deployed, monitored, and maintained by Voltage Park with essential node-level components included out-of-the-box

NVIDIA GPU Operator

GPU driver, container runtime, and monitoring stack ready out-of-the-box.

Prometheus and Grafana

Observability across clusters

SentinelOne

For optional endpoint protection for added security

Managed updates and remediation

Reduce security risk with proactive maintenance by Voltage Park.

Simplify multi-node orchestration for training, fine-tuning, and inference

Faster deployment

Skip boilerplate tasks like kubeadm setup, TLS, and network plugins.

Higher team efficiency

Concentrate on model development and deployment instead of cluster plumbing.

Constant iterating

Built with feedback from AI teams scaling LLM applications.

01
Faster deployment
02
Higher team efficiency
03
Constant iterating
01
Security-first
02
Operational offload
03
Extensibility
04
Flexibility

Securely stand up GPU-ready K8s clusters in minutes

Security-first

Isolated tenant environments (VPCs) with hardened nodes.

Operational offload

We manage the control plane so your team can focus on priority projects.

Extensibility

Use your own ingress controllers, secrets managers, and CI/CD pipelines.

Flexibility

Run custom workloads, inference pipelines, or training stacks.

Built for teams that can’t let complexity slow them down

Works seamlessly
with K8s-native tools like Helm, Argo, Kubeflow, and Ray
Integrates
into GitOps or Terraform workflows
Avoids hyperscaler lock-in
while maintaining Kubernetes consistency
Start Building