OCP APAC Summit Highlights AI Data Center Management as Power Constraints Grow

The Open Compute Project’s APAC Summit opened in Taipei on Aug. 11 with AI-scale systems management, power, cooling, and server architecture in focus as increasingly dense AI infrastructure changes how data center operators manage hardware at scale.

OCP’s Scalable Cloud Infrastructure Management work targets hardware-management problems in facilities with 100,000 nodes or more. Across Asia-Pacific, that push toward fleet-scale management is unfolding as operators simultaneously contend with rapid capacity growth, denser racks, and tighter access to power.

OCP scales hardware management for AI

OCP’s Scalable Cloud Infrastructure Management, or SCIM, subproject examines how hardware-management data can move across large data center networks and how technologies such as AI and machine learning systems, RDMA, PCIe/CXL, and DDR affect fleet operations. OCP’s SCIM is unrelated to the identity-provisioning standard that uses the same acronym.

The 2026 OCP APAC Summit extends that work across AI infrastructure, including telemetry and management systems that connect facility operations with equipment in the data hall. As GPU clusters expand, networking has become another AI infrastructure constraint, increasing the need for visibility beyond compute hardware alone.

Regional growth adds pressure. Asia-Pacific’s data center development pipeline increased by 7,103 MW in the first half of 2026 to 26,455 MW, according to Cushman & Wakefield. Vacancy fell from 10.9% to 10.3% despite new supply entering the market. In Indonesia, Firmus is planning a 360 MW Nvidia-powered AI data center on Batam, with initial operations targeted for 2027.

GEICO provides an enterprise example of the operational work involved in open infrastructure. The insurer reported cutting compute cost per core by more than 50% and storage cost per gigabyte by more than 60% after deploying OCP hardware across two colocation facilities with more than 1,000 servers, according to its OCP adoption white paper.

The deployment also required new processes and skills for firmware, validation, inventory, and fleet lifecycle management. GEICO’s results are not a regional benchmark, but its experience shows that lower hardware costs can come with higher requirements for in-house infrastructure engineering.

Power constraints reshape APAC deployments

Power availability is increasingly shaping where new capacity can be built. Schneider Electric executive Jean-Christophe Moureau told Computer Weekly in May 2026 that Singapore faced energy constraints on additional data center development through 2028.

Higher-density AI systems compound the problem. AlixPartners says operators may need to plan for rack densities around 135 kW for AI workloads, compared with 15–30 kW for typical cloud deployments. The shift is also making liquid cooling increasingly central to AI infrastructure as operators contend with greater heat loads.

A Feb. 10, 2026, Deloitte report recommends shifting suitable workloads across time or location when energy conditions allow and incorporating storage and operational flexibility into data center design.

Rising rack density is bringing server, network, cooling, and power management closer together. OCP’s standards work is aimed at making those increasingly interconnected systems easier to operate as AI deployments grow larger.

Read more: Australia is confronting a similar infrastructure challenge as rapid AI data center growth puts new pressure on the power grid.