The Great Pivot: Why Indonesian Data Centers Must Evolve to Support the AI Revolution
Fajrin
from Orbitcore Editorial
The digital landscape in Indonesia is undergoing a seismic shift. As we navigate through 2026, the conversation has moved beyond simple cloud storage and basic connectivity. We are now firmly in the era of Artificial Intelligence (AI), and this transition is placing unprecedented demands on the backbone of our digital economy: the data center. In a recent discussion on CNBC Indonesia's 'Profit' program, Benny Sumitro, the Cloud and IT Director at PT Datacomm Diangraha, shed light on why the industry is at a critical crossroads.
The Surge in AI-Driven Cloud Demand
The massive wave of digital transformation across various sectors has fundamentally changed what businesses need from their service providers. It is no longer enough to just offer a space for data; there is a skyrocketing demand for cloud services that are natively integrated with AI capabilities. Benny Sumitro noted that this trend is driven by companies across Indonesia increasingly leveraging AI to enhance their existing services and internal operations. This isn't just a trend for tech giants; it is becoming a standard requirement for any enterprise looking to stay competitive in a high-speed market.
Transitioning to GPU-Centric Infrastructure
One of the most significant takeaways from the current industry shift is the mandatory evolution toward Data Center Graphics Processing Units (GPUs). Traditional data centers, which were primarily built around Central Processing Units (CPUs), are finding it difficult to keep up with the intense computational requirements of AI model training and inference. To meet market needs, infrastructure providers must pivot. This means modernizing facilities to house high-performance GPUs that can handle the massive parallel processing required by modern machine learning algorithms.
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Challenges in Power and Density
However, building an AI-ready data center isn't just about swapping out hardware. Benny Sumitro emphasized that the infrastructure itself requires a massive overhaul in terms of power delivery and data density. AI workloads consume significantly more electricity than traditional applications, and the hardware is packed much more tightly together. This increased density creates immense heat, requiring advanced cooling solutions and a robust power grid that can sustain high-density environments without failing. For data center operators, the challenge lies in balancing this need for high-performance capacity with the physical limits of their existing facilities.
Looking Toward 2026 and Beyond
As we look toward the horizon of late 2026, the opportunities for the Indonesian data center business are vast, but so are the hurdles. The digital infrastructure must evolve rapidly to keep pace with the ambitions of Indonesian enterprises. The dialogue between industry leaders like those at PT Datacomm Diangraha and the broader market highlights a clear mandate: adapt or be left behind. For Indonesia to fully realize the potential of the AI era, its data centers must be more than just warehouses for servers—they must become high-powered engines capable of driving the next generation of intelligent technology.