People or data centers? Communities around the world are debating this question as they try to balance the plans of service providers and the concerns of residents. However, it is possible for a data center to be a good neighbor.

Emerging technologies are pushing data center providers to handle increased needs for data storage while also achieving greater levels of energy efficiencies and cost savings. While striving to meet the goals of today, an eye on the future is...

A thoughtfully designed hybrid cloud model can give you the flexibility of the public cloud along with the control, security, cost predictability, and performance of the data center.

AI/ML workloads exhibit similar characteristics and behaviors to HPC and HPD, meaning networking professionals can apply their existing knowledge base to ensure AI/ML runs as it should.

Chilled-air systems have been a loyal companion for most data-center operators for years, but the inefficiencies of those systems are now becoming exposed.

Generative AI is expected to create a second stream of data center demand comparable to the cloud. Here's a look at the role of the colocation data center in helping meet this historic wave of new demand, and how data center operators can be ready...

To address performance and latency issues, companies should look to edge computing solutions while also taking into account the significant power requirements to handle metaverse workloads.

When in the market for the right SSD, buyers should evaluate capacity, performance, compatibility, endurance, security, and brand and support.

Many IT leaders presume that the most cost-effective storage option for them is solid state drives versus hard disk drives. But is that really true?

By using SMRs, data centers can achieve energy independence. This energy source holds the key to unlocking the full potential of AI.