We can all agree on one thing about AI and data centers: a lot of change is coming. AI is growing at an estimated 37.3% a year until 2030. It is here to stay and will reshape our world, starting with data centers.
The capacity and potential of AI are almost unfathomable. Because it grows so fast, its future impact is very hard to predict or control, and that raises concerns. AI used for fraud gives us legitimate reasons to worry, so operators will focus on keeping AI and data centers safe. On the other hand, AI will revolutionize so many industries. It offers countless applications that can improve our lives in fields like healthcare and automation.
AI will offer versatile solutions for many areas of our lives. The question is what it takes for data centers to accommodate its rapid, unforeseeable growth. AI and data centers will be inseparable from now on. Operators will need a new approach and considerable reorganizing.
Adapting Data Centers to Meet the Challenges of the AI Boom
AI’s requirements differ fundamentally from traditional infrastructure, so the relationship between AI and data centers will change significantly. Data centers are adapting to the rise of AI globally. This process includes several changes to accommodate the new technology.
A Power-Hungry Beast
The primary concerns about AI adoption are enormous power demand, the need for more powerful cooling, and exorbitant bandwidth requirements. Machine learning is just as power-hungry as it is data-hungry. It has only just begun to enter data centers, so future power demand is very difficult to estimate. What’s certain is that demand will grow. We just don’t yet know how fast.
Data center energy consumption already accounts for 1% of global power demand. If growth continues at this rate, estimates suggest global data center power consumption will double by 2030, reaching 35 gigawatts/year.
The industry is preparing for an unprecedented transition. Traditional data centers have to adapt to take on the challenges of changing computing needs. New power and bandwidth needs characterize the symbiosis of AI and data centers, and these needs are significantly more power-intensive. Operators need to replace CPU-powered racks with GPU-powered racks. GPUs require up to 8x100Gb/s for EDR and 200GB/s for HDR connections, with 8 connections per GPU. Nvidia’s DGX models (A100, GH200) consume 6.5 to 11kW per 6U unit. Data centers running these AI applications have to manage significantly higher power consumption.
Keeping Capacity Under Control
Infrastructure changes are at the doorstep as AI and data centers start to merge. The new power demand is already restructuring how operators manage capacity, and designs are becoming more compact. Large underutilized spaces and architectures are ripe for a redesign. A redesign can use space more efficiently and ease the stress on an already overburdened grid.
More Sustainable and Less Expensive
The huge surge in power demand calls for future-proof solutions. Server racks that once supported 5 to 10 KW can’t handle the new demand of 35 to 100 KW per rack. Data center energy consumption will likely double in the upcoming years, mainly because of AI. Better energy management is a must, not only for sustainability goals but also to cut costs. These two objectives benefit each other.
Energy management and PUE will play a crucial role, as will the sources of energy. Renewables take center stage as sustainability matters more than ever. Nevertheless, emerging energy sources will also play an important part. Flexibility and open-mindedness will be key to adapting to new situations and finding efficient, reasonably future-proof solutions.
Data center operators need to find solutions for the increased cooling needs. At the same time, they must ensure resiliency to grid instabilities with sufficient backup power supplies. Power supply diversification (renewables, onsite generators, combined heat and power, fuel cells, etc.) is vital for performance and efficiency. Today, outages are unacceptable, and reaction times to disruptions can make or break partnerships.
How Can the Synergy of AI and Data Centers Bring Efficiency?
Despite concerns about energy consumption, increased cooling and bandwidth needs, and sustainability, AI has its perks in data centers. Leveraging AI can facilitate tasks that are extremely time-consuming or even impossible to accomplish.
Automating routine tasks and optimizing resource management will, in the end, help reduce operational costs and improve uptime. AI can monitor equipment performance. It can also offer insight into data center efficiency through extensive real-time monitoring. Knowing how much power specific units use at any time helps operators adjust power and cooling more efficiently. With AI, resource-wasting security practices like uniformly overcooling the data center will end. AI can tell lightly loaded units from heavily loaded ones and adjust their cooling to save resources.
AI can also be extremely useful in quickly identifying and responding to security threats. However, it can make mistakes at this stage.
The Dangers of Powerful Potential
Nevertheless, AI is a powerful new entity. If left uncontrolled, it can change our world in unimaginable ways. We don’t need to look far for examples. AI can quickly become a source of concern when people use it for malicious purposes. We need to prepare by educating ourselves and staying flexible as situations change quickly. Alongside working toward better energy efficiency, operators must implement safety protocols for the new union of AI and data centers. More transparency in general might become a cornerstone of safety in the future.
Conclusion
The world and the data center industry are experiencing a mix of enthusiasm and concern about AI. One of the main worries is how data centers can adapt to accommodate the boom. Until now, many predictions of its growth have proven wrong because they underestimated its scale. At the same time, additional changes that we can’t yet foresee may come further down the line. Data center operators have to stay prepared and flexible. They also need to find new ways to support AI efficiently while keeping an eye on sustainable, cost-effective, future-ready solutions.
AI is complex, and learning about it will influence our ability to control it in the future. To learn more about AI and data centers, contact Volico Data Centers at (305) 735-8098 or chat with us.
