As AI and other technologies surge in popularity, so has the demand for data centers to power global digital transformation.
However, a greater demand for data centers also introduces demand for greater sustainability measures and the need to educate communities on the positive change data centers bring. Take a look at our predictions for the data center industry in 2024 and beyond by clicking below.
As artificial intelligence and machine learning applications rapidly evolve, data centers must adapt to meet unprecedented power and cooling demands. Generative AI, in particular, is pushing the boundaries of traditional infrastructure, requiring innovative solutions to support high-density computing loads, ensure energy efficiency, and maintain resiliency. From immersion cooling technologies to advanced liquid-to-chip designs, data center developers and design teams are rethinking everything—from power distribution to cooling strategies—to accommodate the unique needs of AI workloads.
Download the article below to explore the transformative impact of generative AI on data center design!
Future-proofing is a strategic approach that architects and builders use when designing buildings. The concept is all about predicting potential future challenges— anything from environmental pressures, such as extreme weather conditions, to societal changes, like new technology demands.
By anticipating these factors, a building can remain functional and relevant, even as times change. The goal is to prevent a building from becoming obsolete or outdated, ensuring it can serve its purpose for many years to come. Download our top 4 tips for future proofing your next building below!
Everyone is talking about Artificial Intelligence (AI). It is swiftly revolutionizing industries and applications, creating new efficiencies and value for organizations across the globe.
However, this rapid advancement comes with a potential consequence for data centers – increased heat generation. As a result, cooling systems must work harder to maintain an optimal operating temperature, resulting in increased energy consumption and potentially reduced cooling efficiency. As the demand for AI evolves, our data centers must evolve also.
At HED, we’re exploring each project’s demands, expected development, and potential future needs when considering cooling systems. Click below to read how we weigh the pros and cons of cooling technologies.