The ongoing evolution (or possibly revolution) of generative AI, is presenting data center operators with significant capacity planning challenges. The extent of that challenge is necessitating a reevaluation of infrastructure strategy.
According to a JLL report, global data center storage capacities are projected to skyrocket from 10.1 ZB in 2023 to a staggering 21 ZB by 2027. This exponential growth in AI-driven workloads is poised to reshape the landscape of data center operations, forcing operators to rethink their approach to building and managing facilities.
Jonathan Kinsey, EMEA lead and global chair for data center solutions at JLL, underscored the critical role of strategic site selection in ensuring operational scalability and meeting environmental goals amidst mounting power challenges and the imperative for sustainable energy.
Kinsey highlighted the need for collaboration between real estate professionals and partners to secure adequate future power, especially as existing grid infrastructure may struggle to support the global shift to electrification and digital expansion.
The report underscores the dramatic transformation in data center requirements over the past decade, noting that while new data centrer builds once boasted a critical IT load capacity of less than 10MW, recent developments now see developers announcing builds exceeding 100MW. Moreover, the emergence of generative AI poses unique challenges, as AI-specializ ed data centers necessitate tailored planning, design, and power allocation strategies.
With AI workloads being inherently energy-intensive, achieving a balance between energy needs and sustainability strategies has become paramount. Data center operators are under increasing scrutiny as awareness of the environmental impact of computing grows. Measures such as switching from traditional air-based cooling to liquid-based cooling are already becoming widespread practice.
The report emphasizes the imperative for data center operators to enhance efficiency and collaborate with local governments to secure sustainable energy sources.
It also highlights the need for substantial investments in electricity grids. In Europe, one-third of the grid infrastructure is over 40 years old, and an estimated €584 billion investment by 2030 is required to meet net zero goals. This level of investment is proving increasingly contentious for governments across Europe as net zero measures are increasingly exploited by right wing populist parties in multiple member states.
Similarly, in the U.S., achieving energy transition objectives will demand an estimated $2 trillion investment.
According to the JLL report, specialized data centers tailored for training and tuning AI models will emerge over time, offering enhanced efficiency and performance. In the interim, significant opportunities exist to redesign existing data centers to accommodate the heightened power and cooling demands associated with AI.
"Those which can meet these demands while minimizing environmental footprints will stand ready to benefit from meeting the needs of our data-intense digital economy," the report says.
This article was originally published on our sister site, Computing UK.
