{"id":25840,"date":"2023-05-03T02:23:02","date_gmt":"2023-05-03T02:23:02","guid":{"rendered":"https:\/\/serverlift.com\/?p=25840"},"modified":"2026-01-18T22:54:24","modified_gmt":"2026-01-18T22:54:24","slug":"data-center-trends-to-watch-for-the-rest-of-2023","status":"publish","type":"post","link":"https:\/\/serverlift.com\/fr\/blog\/data-center-trends-to-watch-for-the-rest-of-2023\/","title":{"rendered":"Data Center Trends to Watch for the Rest of 2023"},"content":{"rendered":"

Data centers\u2014and the clients who rely on them\u2014exist on the cusp of technological advances. When new technologies emerge, data centers and tech enterprises often adopt them first. With this thought in mind, here is a summary of 2023 trends.\u00a0<\/span><\/p>\n

Artificial Intelligence (AI)<\/span><\/h2>\n

As AI develops, it is revolutionizing the way that major industries operate on a day-to-day basis. These AI solutions will need powerful hardware to operate efficiently. Data centers are preparing for AI to become ubiquitous in expected and unexpected ways, and are planning now to be able to support multiple high-resource AI solutions at a time.\u00a0<\/span><\/p>\n

Interestingly, AI is playing a more prominent role in data center operations this year. AI optimization programs can identify areas in data center operations that need to be optimized so that actions can be taken to solve the problems.\u00a0<\/span><\/p>\n

Google eliminated 40% of cooling costs<\/span><\/a> by allowing AI to control its cooling systems. That\u2019s just one example of what could be possible with facility-wide AI optimization.<\/span><\/p>\n

Of course, there are also automation opportunities that become available with advancing AI platforms. Where once simple bots handled only the most repetitive and easily programmable tasks, now AI can add context and decision-making skills to the process. As a result, automation efforts may advance dramatically in 2023, freeing time and energy for data center teams and business owners to focus on more important, human-centric tasks.\u00a0<\/span><\/p>\n

Virtualisation<\/span><\/h2>\n

Software virtualization enables servers to work with more than one system at a time by dividing data storage, processing power, and other elements into segments. In turn, running multiple virtual systems on one physical machine helps lower costs and keep resource usage controlled.\u00a0<\/span><\/p>\n

Virtualization may increase as many companies and data centers fight rising costs.\u00a0<\/span><\/p>\n

If your data center invests heavily in operating virtual systems, this could open up a new opportunity to market your data center as a Software-Defined Data Center (SDDC). This may attract a new tier of clients who prioritize cost-efficient operations.\u00a0<\/span><\/p>\n

Edge Computing<\/span><\/h2>\n

The widespread adoption of 5G, IoT devices, AI programs, and other advanced technologies increases the demand for high-speed, low-latency processing. An increasing number of data center operators are setting up tiny, mostly self-sufficient data centers near large pockets of clients to provide edge computing where it\u2019s needed most.\u00a0<\/span><\/p>\n

Hybrid Clouds And Multi-Cloud Environments<\/span><\/h2>\n

When companies first began moving to the cloud, they were eager to \u201clift and shift\u201d all their applications to the cloud to take full advantage of its benefits. However, lifting and shifting legacy applications to the cloud is costly because they have to be rewritten for the cloud. For companies that rely on legacy applications, a less expensive solution is on-premise servers.\u00a0<\/span><\/p>\n

Many companies with legacy applications opt for a solution in the middle, between all-cloud and all-on-premise. These are in the form of hybrid or multi-cloud environments, which enable clients and data center managers to decide which applications run where.\u00a0<\/span><\/p>\n

Expect the growing adoption of hybrid and multi-cloud environments to affect data centers in the following ways:<\/span><\/p>\n