1. Investing in AI acceleration hardware
As you probably know if you've been paying attention to the impact of AI in data centers over the past few years, many AI workloads work best when they're run on specialized hardware designed to accelerate AI workloads.
For this reason, one of the most significant trends in data center hardware development today is investment in AI accelerators.
Personally, I believe that the demand for AI-ready data center hardware will eventually prove limited, especially as AI technology matures and companies stop constantly running AI experiments or proof-of-concept projects. However, it is undeniable that AI accelerators will become an increasingly important part of data center hardware in 2025.
Along with investment in hardware designed specifically for AI, investment in other types of data center-optimized hardware, such as data processing units (DPUs), will grow in 2025.
DPUs can perform tasks such as managing austria mobile database that would otherwise fall to CPUs. In this way, DPUs reduce the load on the CPU, which ultimately increases the computing power available to applications.
DPUs have been around for a few years, but they’ve become especially important as a way to boost the performance of compute-intensive workloads like AI training by bundling them with AI accelerators. (To be clear, DPUs aren’t a type of AI accelerator, but they can be used in conjunction with AI accelerators to make servers more efficient at solving compute-intensive tasks.) That’s why I think DPUs are about to get their moment.
3. Expanded use of advanced cooling technologies
Data center equipment produces a lot of heat. The strategy for removing that heat in a typical data center hasn't changed much in decades. It involves blowing air over the servers.
But there are other methods, including cooling the chip itself and immersion in liquid. These approaches are much more energy efficient. They can also extend the life of the hardware by reducing overheating.