How Lintasarta Launched Indonesia’s Leading GPU Cloud on Kubernetes in Just 90 Days

170+
virtual clusters in prod

60+
GPUs in 12 months

90
days to go live

24/7
operations

—

"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

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Without vCluster

Scaling Kubernetes on GPUs Was Slow, Complex, and Costly

Lintasarta set out to build a GPU Cloud to meet Indonesia’s rising demand for AI, ML, and GPU-accelerated workloads. But delivering managed Kubernetes on GPU hardware wasn’t straightforward. Without vCluster, the challenges were clear:

Fragmented infrastructure: Running multiple physical Kubernetes clusters across limited GPU nodes led to underutilized hardware and escalating costs.
Slow customer onboarding: Provisioning new Kubernetes clusters for every customer or workload was time-intensive, delaying time to value.
Heavy operational burden: Managing upgrades, security, monitoring, and maintenance across many clusters required significant engineering effort.
Inflexible scaling: Lintasarta’s ability to serve new customer demand was limited by the slow, manual process of setting up isolated environments.

Despite having a robust Next Generation Network backbone, Lintasarta faced an uphill battle in turning their GPU hardware into a scalable, efficient, and profitable cloud service.

With vCluster

A GPU Cloud at Scale: 170+ Virtual Clusters and Growing

By adopting vCluster, Lintasarta transformed how they deliver managed Kubernetes on GPUs — scaling from zero to over 170 production virtual clusters in just one year. vCluster’s virtualized Kubernetes environments allowed Lintasarta to:

Provision new customer environments in minutes, instead of days or weeks.
Run 170+ production on shared GPU infrastructure, maximizing hardware utilization.
Simplify operations with centralized management, standardized configurations, and fewer duplicated platform components.
Accelerate innovation by freeing up the DevOps team from routine cluster management to focus on expanding the service.

With vCluster, Lintasarta built a reliable, scalable GPU Cloud that gives customers the full flexibility of Kubernetes — without the operational headaches that traditionally come with isolated, physical clusters.

Why vCluster

Delivering High-Scale Kubernetes Services Without the Hassle

Lintasarta selected vCluster because it gave them the speed, efficiency, and scalability they needed to win in the GPU Cloud space:

Rapid scale-up: In one year, they built a GPU Cloud with 170+ production vClusters, serving a diverse customer base.
True multi-tenant isolation: vCluster delivers fully isolated Kubernetes environments for each customer without spinning up separate hardware clusters.
Optimized GPU utilization: Consolidating workloads on shared infrastructure maximizes the use of expensive GPU resources.
Reduced operational overhead: A smaller number of physical clusters means lower maintenance, simplified upgrades, and less risk.
Enhanced customer experience: Customers get fast, flexible Kubernetes environments with the full power of GPU acceleration, while Lintasarta delivers a reliable, hassle-free service.

With vCluster as the foundation, Lintasarta has emerged as a leading provider of GPU Cloud services in Indonesia — empowering customers to run demanding workloads on Kubernetes, while keeping operations streamlined and costs under control.