Edge Data Center Use Cases

How Edge Data Center Use Cases Are Transforming Industries Edge computing is no longer a futuristic concept—it's a present-day necessity. As digital transformation accelerates across industries, the demand for real-time data processing, ultra-low latency, and... Read More
A common thread across these use cases is the integration of Artificial Intelligence. It is essential to distinguish between Cloud AI and Edge AI. Cloud AI typically involves training massive models on huge datasets in a centralized data center. Edge AI, in contrast, focuses on running lightweight, pre-trained models locally for real-time inferencing—the process of using a trained model to make a prediction.

Connecting Nlyte and ServiceNow for Smarter IT Operations

Managing IT infrastructure can be complex, especially when physical assets and digital workflows operate in separate systems. That’s where the integration between Nlyte Software and ServiceNow comes into play. This powerful connection helps organizations keep their data center operations... Read More
Cartoon illustration of a man holding his laptop standing in a data center and an image to the right showing workflow and integration on a chart.

Extending Change Management into the Data Center with Nlyte

Managing IT change effectively means accounting for both digital and physical infrastructure. Nlyte Change Management Integration extends ITSM capabilities into the data center, ensuring that hardware, power, cabling, and space are fully considered in every change. This... Read More
Blue data center with racks background image and a graphic stating change management.