Status: Early Construction Phase | Location: Greater Jakarta Area, Indonesia
The EDGNEX AI Data Center Campus in Jakarta, developed by EDGNEX Data Centers by DAMAC, represents a massive, future-focused investment that directly addresses the global surge in demand for Artificial Intelligence (AI) infrastructure. Announced in June 2025, this project stands out as one of Southeast Asia's largest AI-dedicated developments, backed by a staggering $2.3 billion total investment and a projected capacity of 144 MW. The land for the facility was secured in March 2025, and construction is already underway, targeting Phase 1 readiness by December 2026.
The design philosophy is centered around handling high-density AI workloads. This facility will feature specialized high-density AI racks which demand significantly more power and cooling than traditional racks (often exceeding 50 kW per rack). To manage this intense heat, the infrastructure will be built to support advanced cooling technologies, including Direct Liquid Cooling (DLC), which is essential for maximizing the compute power of modern GPU clusters. This focus on next-generation capacity is intended to accelerate Indonesia's digital economy transition into a more robust, AI-powered ecosystem.
Sustainability is a key metric, with EDGNEX targeting an ambitious Power Usage Effectiveness (PUE) of 1.32. This is a highly efficient score for a tropical location and demonstrates a commitment to minimizing the facility's environmental impact, despite the enormous power required for AI. The project is strategically located in the greater Jakarta area, which serves as the largest digital market in Southeast Asia and is a crucial point for international and domestic fiber connectivity. By deploying this large-scale, AI-optimized capacity, EDGNEX aims to bridge digital infrastructure gaps, provide low-latency cloud and AI services, and reinforce Indonesia's position as a key global digital hub.
| Field | Value |
|---|---|
| Project Name | EDGNEX Artificial Intelligence Data Center Campus |
| Location | Greater Jakarta Area, Indonesia |
| Status | Early Construction Phase |
| Project Type | AI-Optimized Hyperscale Colocation |
| Commissioning | 🔒 Subscriber Intelligence |
| Total IT Load | 🔒 Subscriber Intelligence |
| Total Capacity | 🔒 Subscriber Intelligence |
| Tier Level | 🔒 Subscriber Intelligence |
| Header | Details |
|---|---|
| City Name | Jakarta |
| Population | over 42 million |
| Urban Agglomeration | 42 million |
| Economic Profile | 🔒 Detailed city intelligence available to subscribers |
Developer, operator, infrastructure partners, contractors and engineering.
Power capacity, redundancy, cooling, connectivity, PUE and energy mix.
Announcement, construction start, go-live and full buildout.
Total project investment and funding intelligence.
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