Fully Managed Kubernetes

Ship AI faster with Managed clusters built on upstream Kubernetes.
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Trusted by leading AI labs and fast-scaling startups like these:

Kubernetes that doesn’t waste your GPUs

Make every hour go to training, not tickets.

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NVIDIA GPU Operator
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Built-in observability
03
Storage and data path integration
04
Managed updates, remediation, and recovery

Managed end-to-end by Voltage Park

NVIDIA GPU Operator

Installs and manages GPU drivers and runtime automatically. MPI Operator included for distributed training.

Built-in observability

Pre-built Prometheus + Grafana GPU monitoring dashboards.

Storage and data path integration

VAST CSI Driver included for Kubernetes-native provisioning and high-throughput AI data pipelines.

Managed updates, remediation, and recovery

Proactive maintenance and security patching by Voltage Park, plus encrypted ETCD snapshots for restore if cluster state is lost.

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.

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Faster deployment
02
Higher team efficiency
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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
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