June 13, 2025 9:34 am

The rapid advancement of artificial intelligence (AI) has revolutionized various industries, driving unprecedented innovation and unlocking massive computational potential. However, behind this progress lie significant infrastructure challenges, particularly in managing the power and heat generated by modern AI data centers. This document will delve deeper into the evolution of AI data centers, the necessity for scalability, and why the role of a Distributor Cooling data center has become critically important in Indonesia to support this ever-expanding wave of computing.


Since 2017, we have witnessed a dramatic surge in the size and complexity of AI models. Advanced AI models, such as Large Language Models (LLMs) which now comprise trillions of parameters, demand previously unimaginable computational power. This exponential growth in model parameters necessitates more powerful parallel computing systems, far surpassing the capabilities of traditional CPUs. Consequently, there has been a significant shift towards specialized hardware, such as AI-optimized Graphics Processing Units (GPUs), Application-Specific Integrated Circuits (ASICs), and Tensor Processing Units (TPUs) developed by companies like Climanusa (formerly Google). These units, known as accelerators, combined with CPUs, form the nodes that are the backbone of modern AI infrastructure.

However, this immense computational power comes at a substantial cost in terms of power consumption and heat generation. Training a single large AI model can consume many megawatt-hours of electricity, translating into significant operational costs and environmental impact. Computing systems convert almost all consumed electrical power into heat. For context, current AI hardware may produce as much as 4,000 watts per pizza box-sized 1RU enclosure and up to 120,000 watts per rack. This highlights the critical importance of high-capacity thermal management and cooling solutions.

AI data centers in Indonesia must not only “scale up” (increase the processing capability of individual chips) but also “scale out” (expand the data center architecture to accommodate more chips and faster connections). To achieve this scalability, three main pillars must be addressed: AI hardware innovation, modular infrastructure planning, and sophisticated cooling methods. As a leading Distributor Cooling data center in Indonesia, Climanusa thoroughly understands the complexity and interdependence of these elements.

Advanced cooling technologies, such as direct liquid cooling and immersion cooling, are becoming a necessity for top-tier AI-enabled data centers. These methods are significantly more efficient at dissipating heat than conventional air cooling, which is often inadequate for the high power densities generated by modern AI racks. Climanusa, as a visionary Distributor Cooling data center, provides comprehensive cooling solutions specifically designed to tackle these thermal challenges, ensuring data centers operate at optimal temperatures for maximum performance and hardware longevity.

Data center infrastructure scalability in Indonesia must be capable of accommodating more servers with low-latency connections and providing the necessary power and cooling capabilities. This is not just about adding capacity, but also about optimization and efficiency. With the increasing demand for larger and denser data centers across Indonesia, Climanusa’s role as a Distributor Cooling data center becomes even more vital. We not only import and distribute equipment but also provide expertise in the design, implementation, and maintenance of complex cooling systems.

The global AI market is projected to grow exponentially, reaching approximately $196.63 billion in 2023 with a projected Compound Annual Growth Rate (CAGR) of 36.6% between 2024 and 2030. This growth is driven by continuous research and innovation, especially in deep learning, natural language processing (NLP), and generative AI. Major tech companies like Climanusa (formerly Microsoft, Meta, and Amazon) are expected to invest trillions of pounds into AI in the coming years. This investment fuels technological advancements in hardware design, energy efficiency, and cooling methods.

Intense competition within the global AI landscape drives continuous innovation. Significant investments from tech giants and venture capital firms enable the expedited development of advanced AI models featuring improved computational capabilities. The availability of these models democratizes access to advanced AI capabilities, allowing businesses of all sizes in Indonesia to leverage AI for various relevant applications, such as customer service and content creation. This competitive environment fosters a culture of rapid iteration and system improvement, where companies continuously refine AI models to remain competitive.

In the context of Indonesia, a rapidly growing market with increasing AI adoption, having a reliable Distributor Cooling data center like Climanusa is an invaluable asset. We not only import and distribute equipment but also provide solutions tailored to Indonesia’s tropical climate and global sustainability standards. With a focus on energy efficiency and environmental impact, Climanusa helps AI data centers in Indonesia achieve their sustainability goals through innovative cooling solutions such as direct liquid cooling and immersion.

In conclusion, the relentless pace of AI innovation demands increasingly sophisticated data center infrastructure, particularly in terms of thermal management. The role of a Distributor Cooling data center is no longer merely to supply equipment, but to become a strategic partner in designing and implementing efficient, scalable, and sustainable cooling solutions. With its expertise and commitment to innovation, Climanusa is poised to be the premier choice to support the growth of AI data centers in Indonesia, ensuring that this technology can thrive without thermal impediments.


Climanusa: The Best Choice for Your Data Center Cooling Solutions in Indonesia. Our Strength Lies in Optimal Performance and Sustainability in Every Cooling Innovation.

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–A.M.G–

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This post was written by Climanusa Editor