End-to-end GPU infrastructure in your data center
Design and deploy private GPU infrastructure for organizations that need GPU clusters, AI serving, Kubernetes, and observability inside their own data center or private environment.
From assessment to operational handover
Data center, network, and storage readiness
GPU software stack and operations
Frequently asked questions
When is on-premises GPU infrastructure appropriate?
On-premises infrastructure is appropriate for persistent utilization, dedicated control, private data paths, facility-specific requirements, or internal policies that require owned environments.
What is assessed before deployment?
Assessment covers workloads, facilities, rack density, power, cooling, cabling, storage, networking, security, Kubernetes, operations, support model, and expansion path.
Can Indosat Business help with handover?
Yes. Handover can include validation evidence, architecture records, runbooks, monitoring dashboards, access model, and knowledge transfer.