Test report DSG-5149 · Rev F · tested November 2, 2026
AI Datacenter InfrastructureDevice under test
LG CNS completes 30 MW AI data center in Jakarta, a first for Korea abroad
LG CNS completed a 30 MW AI data center in Jakarta for JV KMG — a first Korean-built AI facility abroad, with 300 kW racks and a 400 MW end-state target.
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Spec summary
- LG CNS completed a 30 MW AI data center in Jakarta, Indonesia.
- It's the first AI data center a South Korean company has built overseas directly for a local customer.
- The facility supports rack loads exceeding 300 kW and targets 400 MW total capacity at full build-out.
- Client KMG is a JV between Indonesia's Cinarmas Group and South Korea's Tuzarial Asset Management.
- LG CNS is pursuing further AI data center projects in Malaysia, Thailand, Vietnam, the Philippines and Japan.

LG CNS has finished a 30 MW AI data center in Jakarta, Indonesia — the first time a South Korean company has built an AI data center overseas directly for a local customer.
The South Korean digital transformation firm delivered the project for Kuningan Mas Gemilang (KMG), a joint venture between Indonesia's Cinarmas Group and South Korea's Tuzarial Asset Management. The facility targets high performance computing (HPC) workloads running next generation graphics processing units (GPUs), the specialized chips behind modern AI training.
What are the facility's specifications?
The numbers are aggressive by regional standards.
- Power infrastructure supports loads exceeding 300 kW per rack, dense enough to pack multiple GPUs into a single rack.
- Redundant power systems, including backup supplies, keep operations running around the clock.
- Cooling combines air cooling with provisions for liquid cooling, which a subsequent construction phase will introduce.
- Once fully built out, total capacity should reach 400 MW.
At 400 MW, the site would rank among Indonesia's largest AI data center facilities. The first 30 MW phase is live now.
Who supplied what?
The project pulled capabilities from across the LG Group. LG Electronics supplied its air conditioning systems. LG Energy Solution contributed batteries for the backup power setup. LG CNS itself provided the data center design, construction and operation expertise, acting as the integrator.
That cross-group stack is the point. LG CNS gets a working reference case showing it can deliver GPU-dense facilities abroad, not just in Korea.
What does this change for LG CNS?
Plenty. The company is chasing AI data center projects across the Asia-Pacific region, with named target markets including Malaysia, Thailand, Vietnam, the Philippines and Japan. The Indonesian build now serves as its showcase for that expansion — proof it can execute a full overseas project for a local client.
The pipeline goes beyond construction and operation. LG CNS is also expanding into:
- Modular data centers — prefabricated, factory-built facilities deployed faster than traditional builds.
- GPU-as-a-Service (GPUaaS), a cloud-style model where customers rent GPU computing capacity instead of buying hardware.
- Liquid cooling infrastructure, which the Jakarta site is already prepared for.
The company also plans to develop AI factory services that combine AI platforms with infrastructure, moving it further up the stack from builder to operator and service provider.
Why does Indonesia matter?
The deal gives LG CNS a foothold in one of Southeast Asia's largest economies at a moment when AI compute demand is pushing rack densities past what legacy data centers can handle. The 300 kW-per-rack figure signals the facility is built for current and coming GPU generations, not yesterday's hardware.
For KMG's backers — Cinarmas Group at home and Tuzarial Asset Management from Korea — the completed phase means HPC capacity is available now, with a 400 MW growth path behind it. Further phases will add liquid cooling and more capacity as demand requires.
LG CNS hasn't disclosed financial terms or a construction timeline for the remaining 370 MW. Watch Malaysia and the Philippines for the next reference builds.
via Google News: GPU datacenter (Source)
More from Grace Kim
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Market editor covering regulation, policy and their impact on hardware layer of artificial intelligence at Die Signal.
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