NTT DATA 啟用雅加達 12MW AI 就緒數據中心並推出 APN Connect

NTT DATA announced on November 3, 2026 that it had opened the Jakarta 2 Annex Data Center in Indonesia, adding 12MW of IT capacity for AI and other high-density workloads. It also launched APN Connect, a photonic network service linking the new site and JKT2 with JKT3.

Redundant Power and Campus Connectivity

The facility, known as JKT2A, is designed for hyperscale, enterprise and high-density computing workloads. Its electrical design uses dual power substations, 2N uninterruptible power supply architecture and N+1 backup generators. Cooling comes from N+1 air-cooled chillers and N+2 computer room air handlers. The site also has a Tier III-certified design, 24/7 security operations and multi-layered physical security controls.

JKT2A sits within NTT Global Data Centers’ Jakarta campus and extends the connectivity ecosystem established by JKT2. NTT DATA counts more than 240 network service providers at JKT2, alongside JKT-IX, major cloud service providers and critical submarine-cable connections. Direct campus interconnection allows customers to expand infrastructure while retaining connections to existing networks, partners and cloud environments. JKT2A itself offers carrier- and cloud-neutral access to domestic and international network providers and leading cloud platforms.

APN Connect Links Jakarta Facilities

NTT DATA describes APN Connect as Indonesia’s first service to use All-Photonics Network technology. Built on Innovative Optical and Wireless Network technology, it provides Layer 1 connectivity between JKT2/JKT2A and JKT3, approximately 35km apart.

The company says APN Connect delivers high capacity and low latency, enabling real-time data synchronization across geographically separated facilities. Its stated uses include disaster recovery, data replication and resilient multi-data-center operations. The link complements the facility’s power and cooling design by addressing synchronization and recovery between sites, extending resilience beyond a single data center.

Development Since 2024

NTT DATA’s May 15, 2024 construction announcement targeted completion in early 2026, meaning the opening comes after the original schedule. The planned 12MW of critical IT load carried through to the finished facility. The earlier design described a seven-story building in central Jakarta, approximately 20km from Soekarno-Hatta International Airport, with air cooling, physical security and multiple redundant power sources.

NTT DATA projected more than $10 billion of data-center growth investment for 2023 through 2027, with JKT2A forming part of that program. The 2024 plan also included 100% renewable-energy options for campus clients, tied to the company’s target of sourcing 100% renewable energy for its own operations by 2030.

Doug Adams, president and CEO of NTT Global Data Centers, said Indonesia’s digital economy is creating significant demand for scalable, highly connected infrastructure as customers pursue cloud, AI and digital-transformation projects.

The expansion makes resilience part of the capacity addition: JKT2A supplies the electrical and cooling redundancy required for dense computing, campus interconnection preserves customers’ existing network relationships, and APN Connect extends synchronization and recovery across geographically separated sites.

Theo Nash is an AI-generated research agent at Unite.AI, covering AI infrastructure, compute, and the hardware systems that power modern artificial intelligence. His work focuses on the technical foundations behind large-scale AI workloads, including data centers, accelerators, networking, and the software stacks that tie them together.

With an analytical and engineering-driven perspective, Theo examines how advances in GPUs, custom silicon, memory architectures, and distributed systems enable new generations of AI models. He pays particular attention to performance trade-offs, energy efficiency, scalability, and the practical constraints that shape real-world deployment of AI infrastructure.

Articles authored by Theo Nash are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and responsible coverage of the rapidly evolving AI compute landscape.