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.

Network closets, often referred to as IDF closets or telecommunications closets, are small yet vital spaces that house important networking equipment, acting as the hubs that connect various parts of an organization's IT infrastructure. Despite their significance, network closets are often overlooked and undermanaged. Poorly managed network closets can result in network downtime, reduced efficiency, and increased maintenance costs.

Leveraging data to enable more informed data center power management is critical for maintaining uptime, increasing energy efficiency, increasing power capacity utilization, and reducing costs. Understanding which power metrics to monitor is the first step towards smarter data center operations.