AI at the Edge

For decades, data centers operated as the quiet, hidden backbone of the digital world. That era is definitively over. The data center industry is now at the center of a transformative era, driven by the... Read More
AI at the Edge The Three-Front Crisis for Digital Infrastructure For decades, data centers operated as the quiet, hidden backbone of the digital world. That era is definitively over. The data center industry is now at the center of a transformative era, driven by the relentless advancement of artificial intelligence. This is not an incremental change; it is a fundamental, market-breaking event. The industry is currently navigating a perfect storm of three simultaneous, interconnected pressures:

Boost Data Center Reliability with Asset Monitoring

From powering cloud services to enabling secure financial transactions, data centers play a vital role in modern digital infrastructure. However, as these facilities become more complex, maintaining the integrity of their assets becomes increasingly challenging.... Read More
Blog title 'Boost Data Center Reliability with Asset Monitoring' with nlyte.com web page url. Image of a laptop showing Nlyte Asset Optimizer in a data center.

Accelerate Data Center AI with MCP Servers

The rise of artificial intelligence (AI) has created an unprecedented demand for computing power, and with it, a need for more intelligent and automated data center operations. This is where Operational AI comes in, and... Read More
Accelerate Data Center AI with MCP Servers The world of data centers is in constant motion. The rise of artificial intelligence (AI) has created an unprecedented demand for computing power, and with it, a need for more intelligent and automated data center operations. This is where Operational AI comes in, and a new technology called MCP Servers for Operational AI is set to play a pivotal role in its success. The Rise of Operational AI in Data Centers Operational AI is the application of artificial intelligence to the day-to-day management and optimization of data center infrastructure. This includes everything from predicting hardware failures to automating resource allocation and detecting security threats in real-time. The goal of Operational AI is to create self-healing, self-optimizing data centers that are more efficient, reliable, and secure. However, implementing Operational AI is not without its challenges. Data in a typical data center is often siloed across various systems and applications, each with its own unique API. This makes it difficult for AI models to get a holistic view of the data center environment and interact with the underlying infrastructure. This is where MCP servers come in.