Customer-owned AI servers
Deploy customer-owned B200, B300 and Rubin-class AI systems in a controlled co-location environment with cabinet space, power, cooling, access control and operational support.
What AICX means. The platform serves enterprises, AI platform operators, cloud builders and research organizations that need secure, scalable co-location infrastructure in Malaysia for customer-owned AI servers.

Services are organized around real AI infrastructure deployment needs, from initial cabinet capacity to private suites and phased expansion.
Deploy customer-owned B200, B300 and Rubin-class AI systems in a controlled co-location environment with cabinet space, power, cooling, access control and operational support.
Dedicated cages and suites for sensitive workloads, predictable expansion and controlled access by customer, vendor and operations teams.
Begin with initial cabinets, expand into pods, and scale toward larger AI halls as workload demand and power capacity grow.
AICX delivers cabinet space, power, cooling, connectivity and operational support for customer-owned AI servers.
| Service | Scope |
|---|---|
| AI cabinet co-location | Cabinet space, power, cooling and operations designed around dense AI rack deployments for customer-owned systems. |
| AI cluster enablement | Deployment planning for power density, thermal zones, structured cabling, staging, burn-in coordination and future expansion. |
| Private deployment rooms | Dedicated secure suites for enterprise AI, AI cloud operators, sovereign AI and managed infrastructure customers. |
| Co-location operations support | Remote hands, monitoring, access workflow, incident process and partner engineering support. GPU host rental is not provided at this stage. |
AICX plans cabinet, power, cooling and operations support around customer-owned next-generation AI systems while final engineering specifications are confirmed per deployment.

Talk to our infrastructure team about cabinet capacity, power profile, cooling approach, connectivity, security and operational requirements.