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EdgeConneX Plans 500MW+ Malaysia AI Data Centre Capacity

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Tech Wire Asia published sponsored material saying EdgeConneX is building more than 500MW of AI-ready capacity across Cyberjaya and Johor, with rack designs from 20kW to 600kW+ and closed-loop cooling. Signed tenants, contracted capacity and customer deployment dates remain outside the sponsored account.

Verified against source materialEdited by SendTech Times Cloud & Infrastructure DeskSource: Tech Wire Asia
EdgeConneX Plans 500MW+ Malaysia AI Data Centre Capacity

Sponsored Tech Wire Asia material outlined plans for more than 500MW of AI-ready data centre capacity across EdgeConneX campuses in Cyberjaya and Johor, with rack designs ranging from 20kW to 600kW+.

It portrayed the Malaysian sites as being built for GPU-intensive workloads, liquid-cooling requirements and modular power blocks.

The same sponsored account also detailed a closed-loop cooling design for the two campuses.

Cyberjaya And Johor Add 500MW+ Of AI Data Centre Capacity

The sponsored material outlined two hyperscale campuses in Malaysia, with Cyberjaya and Johor intended for AI training, inference and hybrid cloud workloads.

The facilities are presented as supporting racks that can begin at 20kW to 200kW and scale to 600kW+ as GPU deployments expand.

At Cyberjaya, a 275kV substation serves as the anchor, and the material characterises it as the first of its kind in the greater Kuala Lumpur region.

The sponsored account indicates the substation would support phase one in Q1 2027, while data halls can be served by one or multiple 12MW power blocks.

In the same account, older data centres are described as commonly handling 10-15kW per rack, while modern AI training clusters need 50-100kW.

It adds that next-generation GPU architectures are moving towards 200-600kW, and that EdgeConneX designed higher ceilings, reinforced floors, electrical distribution and mechanical systems for 20-30-year facility lifespans.

Johor contributes another 180MW of planned capacity, with phase one also slated for 2027.

The sponsored material positions the site for customers that need proximity to Singapore while using Malaysia's cost structure and regulatory environment.

Cooling Design Claims Daily Water Savings

Both facilities are described as using closed-loop, non-evaporative heat-rejection technology rather than water-intensive evaporative cooling.

The material lists estimated daily water savings of 9 million litres at Cyberjaya and 7.6 million litres at Johor, or 16.6 million litres across both sites.

EdgeConneX also cites a water-neutrality target across its portfolio by 2030.

Once operations begin, the sponsored account schedules the Malaysian sites for UL 2799 certification within 18-24 months, following zero-waste-to-landfill certification at facilities including Jakarta.

Those environmental and performance claims remain company-linked.

The public account does not provide measured power-usage effectiveness for the Malaysian campuses, third-party operating data or named hyperscale customers for the first phases.

NVIDIA DGX Certification Frames The GPU Workload

The sponsored material presents EdgeConneX as an NVIDIA DGX certified partner and states that the infrastructure meets NVIDIA reference standards for power delivery, cooling compatibility and network architecture.

Specific DGX customers, cluster orders and server vendors for the Malaysian sites remain outside the public account.

The account lists 90+ data centres globally and gigawatt-scale operations across North America, Europe and Asia-Pacific.

Across EdgeConneX's Asia-Pacific facilities, local teams operate with regional and global support where needed, the sponsored account notes.

It also lists Malaysia workforce and education programmes planned for the second half of 2026.

Project budgets and hiring targets for those programmes remain outside the account.

The remaining public gaps are signed tenants, contracted capacity, facility-level PUE results, construction costs and customer deployment dates for the Cyberjaya and Johor campuses.

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