The APAC region is experiencing massive growth in data center investments due to the increasing demand for AI servers and data processing. According to a recent structural research report, the data center industry will spend $100 billion, with 50% of that growth occurring in APAC. AI servers require data centers to be built closer to users to reduce latency and improve efficiency, driving the need for localized infrastructure.
AI servers pose significant challenges for data center infrastructure due to their high power density and cooling requirements. Traditional air cooling systems are insufficient, necessitating the adoption of liquid cooling technologies. Additionally, the power draw from AI servers can surge unpredictably, requiring data centers to manage peak power capacity efficiently.
Digital Edge is addressing the environmental impact of data centers by focusing on reducing water usage and improving energy efficiency. They have implemented innovative cooling technologies like the State Point Liquid Cooling (SPLC) system, which has achieved a Power Usage Effectiveness (PUE) of below 1.2 in hot and humid regions like Manila. Additionally, they are developing hybrid supercapacitors to replace traditional lithium-ion batteries, reducing fire risks and improving energy storage efficiency.
NVIDIA's AI chips are highly disruptive in data center engineering due to their unprecedented power density, jumping from 10 kW per cabinet to 130 kW. This has forced the industry to rethink cooling solutions, with a shift towards liquid cooling systems. The varying operating temperatures required by different server manufacturers also add complexity to data center design and management.
Modular data center design offers faster construction times and reduced material waste, as components are built in factories. However, it lacks flexibility for future upgrades due to transport size limitations and fixed designs. Traditional construction allows for larger, more adaptable buildings, which is crucial as power densities continue to rise.
Water usage is a critical factor in data center sustainability, particularly in cooling systems and power generation. Digital Edge's SPLC technology reduces water consumption by up to 40%. Additionally, lowering the PUE by just 0.1 in a 100 MW data center can save the equivalent of 1,500 Olympic-sized swimming pools of water annually, highlighting the importance of efficient cooling systems.
Key principles for designing efficient data centers include minimizing energy transformation steps, such as reducing AC to DC conversions in UPS systems and avoiding unnecessary energy conversions in cooling systems. Understanding the internal components of data centers, like AI servers, is also crucial for designing infrastructure that can handle increasing power densities and cooling demands.
Digital Edge is innovating in power management by developing hybrid supercapacitors that replace traditional lithium-ion batteries, eliminating fire risks and improving energy storage efficiency. They are also working on power shaving systems to manage peak power demands more effectively, reducing the need for customers to purchase excess capacity.
Fresh out of the studio, Jay Park, Chief Development Officer of Digital Edge, explores the rapidly transforming landscape of data centres in the Asia-Pacific region. Kicking off with the story of Jay’s remarkable career in building cutting-edge data centres, we dive into the explosive growth fueled by AI and the innovative cooling and energy solutions Digital Edge is pioneering to address environmental challenges. Jay also examines the impact of advanced AI chips on next-generation data centre engineering and shares his vision of what great would look like to design efficient and sustainable infrastructure in one of the world’s fastest-growing markets. "So if you look at this, according to this recent structural research report, the data centre industry will spend 100 billion dollars, and about 50 per cent of that growth will be happening in APAC. So, this is massive growth. If you look at the data centres, they have to be built where people are to better support them. But we have a new kid on the block. It's called AI servers, and it's something I have never experienced before in any industry, and this is massive. It'll do a lot of things, but it has to do data processing. So you cannot have all these data centres in, let's say, North America, have people in the APAC area grab that data, send it back to the U.S. or North America, do all the processing, and then send it out to APAC. I just don't see that happening. So, they're building the data centres closer to the users, where people are. And then you do all the processing there. The growth is going to be gigantic, and that's what we are seeing today." You can find Jay Park on Linkedin: https://www.linkedin.com/in/jay-park-b5b579335/ and on Digital Edge: https://www.digitaledgedc.com/about
Episode Highlights: [00:00] - Quote of the Day by Jay Park #QOTD [01:07] - Jay Park’s Background [02:38] - Becoming Chief Development Officer at Digital Edge [03:22] - Data Center Evolution and Power Density Growth [05:24] - Digital Edge’s Mission and Approach [07:30] - Supply Chain Challenges and Skid-Mount Equipment [09:25] - Scaling Data Centers for Increased Power Needs [12:19] - Cooling Systems and AI Server Requirements [15:39] - Modular Data Center Design: Pros and Cons [18:57] - Balancing Efficiency, Scalability, and Cost [22:08] - Challenges in Data Center Engineering in APAC [27:25] - AI Chips and Their Impact on Data Centers [31:29] - Principles for Designing Efficient Data Centers [34:04] - Water Usage and Environmental Impact [37:39] - Exciting Advancements in Data Center Technology [42:54] - Advice on Innovation in Data Center Engineering [43:36] - Digital Edge’s Vision for the Future [44:42] - Personal Inspirations and Emerging Technologies [46:26] - Closing
Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig
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