The data center industry continues to evolve every year, and 2025 will be no different. 2024 saw lots of movement towards AI, sustainability, and cloud repatriation to name a few key trends. With 2025 just around the corner, take a look at the rising trends that will shape data center management next year. If you haven’t created an action plan yet for these emerging trends, now is the time to consider them in your 2025 strategy.

As the demand for faster processing, greater storage, and more efficient computing continues to rise, so does the need for high-density servers. These powerful machines are designed to pack more computing power into smaller spaces, allowing data centers to maximize their capacity while minimizing their physical footprint. However, as server density increases, so does the weight of the equipment—often significantly.

Are you prepared for the next leap in AI hardware? According to NVIDIA, the new GB200 NVL72 is poised to “supercharge next-generation AI and accelerating computing.” Highlights of the GB200 NVL72 include it being 25 times more energy efficient than the H100 and 18 times faster data processing compared to CPU. Data centers worldwide are striving to keep up with the AI surge and must assess whether their current facilities can handle the high-power demands of the infrastructure.

Maintaining optimal temperatures in data centers has become increasingly important as power densities surge, global temperature climb, and energy consumption rises. These challenges make data center temperature monitoring more essential than ever.

Did you know that an average data center can consume around 300,000 gallons of water every day? With data center sustainability being a top priority for many organizations around the world, it is important to remember that sustainability is not just about decreasing the use of fossil fuels and lowering carbon emissions but reducing water consumption as well. However, according to Uptime Institute, only 43% of data centers collect data on their water usage for corporate sustainability purposes.

Data centers support everything from online transactions and streaming services to enterprise IT infrastructure and emerging technologies like artificial intelligence (AI). As technology continues to evolve rapidly, so do the operational demands placed on data centers. Staying ahead requires understanding the key trends shaping the future and adapting strategies accordingly. In this blog post, we’ll explore what may lie ahead for data center operations.

Power Usage Effectiveness (PUE) is a metric for measuring the overall energy efficiency of a data center facility. It is calculated by dividing the total amount of energy consumed by the facility by the energy used specifically by the IT equipment. This metric is useful to data center managers because optimizing for it can lead to better energy efficiency, lower operational costs, reduced environmental impact, and support regulatory compliance and certification requirements.

Data centers are among the largest consumers of energy worldwide, accounting for up to 3% of global electricity consumption, a figure expected to rise with increasing demand for computing power and services. Energy consumption is a main concern in the data center industry as managers struggle to find ways to improve overall efficiency and environmental sustainability amidst the green wave of new reporting and operating regulations.

In a time where sustainability is a critical concern, data centers play a pivotal role in shaping the future of environmental responsibility. Power Usage Effectiveness (PUE) is a core metric in assessing the energy efficiency of data centers. But how exactly does PUE relate to sustainability, and what role does it play in the broader context of ecological responsibility?

On July 19, 2024, a major IT disaster struck when a CrowdStrike update caused widespread chaos. CrowdStrike, a cybersecurity firm, inadvertently pushed a faulty “sensor configuration update” for its Falcon Sensor software. This update caused 8.5 million Windows devices to crash. The impact was severe, affecting airlines, banking systems, and healthcare networks, and the recovery process was laborious, requiring manual intervention for impacted devices.