Solutions

A Smarter Foundation for Every Kubernetes Use Case

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Trusted by the world’s leading companies

GPU & AI

Isolate AI Workloads Without GPU Waste

Virtual clusters let you run secure, scalable AI environments without cluster sprawl or wasted GPUs.

POWERING GPU CLOUDS

Managed K8s for GPU Clouds

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MAXIMIZE GPU EFFICIENCY

Private
GPU Cloud

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BUILT FOR AI FACTORIES

AI Factory

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“Our customers were asking for real Kubernetes, not a stripped-down version. vCluster let us launch a managed K8s service quickly and scale confidently. We’re giving customers what they want and doing it faster than the big hyperscalers.”

Reski Rukmantiyo
Head of Dev & Operations @ Lintasarta

days to launch Indonesia’s leading GPU Cloud on Kubernetes

170+

virtual clusters in prod

60+

GPUs in 12 months

24/7

operations

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Bare Metal Kubernetes

Run Kubernetes on Bare Metal, Zero VMs Required

Bare metal is finally viable, no more expensive, wasteful VMs. Virtual clusters and virtual nodes give you isolation without the overhead.

Bare Metal Kubernetes

VM to Bare Metal Migration

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“vCluster enabled us to consolidate our Kubernetes infrastructure from nearly 200 VMs down to a single bare-metal cluster, cutting private cloud costs while improving performance and efficiency.”

Michael Norris
Platform Engineer @ Aussie Broadband

195

VMs eliminated

1K+

CPU cores saved

1TB

Memory saved

VMware licensing costs

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Platform Engineering

Multi-Tenant Kubernetes Without the Cluster Sprawl

Virtual clusters give platform teams the control, efficiency, and flexibility they need to scale Kubernetes across use cases.

DEVELOPER SELF-SERVICE

Internal K8s Platform

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ISOLATED CONTROL PLANES

Build and Test Kubernetes Controllers

“vCluster enabled us to turn our single-tenant software product into a multi-tenant platform on top of AWS. We decided to switch to virtual clusters to accelerate the provisioning of new customer instances.”

Yatin Taluja
Director Platform Engineering @ Atlan

99%

reduction in physical clusters

$600K

annual savings in Kubernetes spend

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