Technical Innovation

Challenges at the Edge: Security

Edge computing is growing exponentially and is part of a cybersecurity landscape with new risks that organizations must be aware of and prepared for. As the need for edge computing in IoT environments grows, so will the need to connect to local, interconnected data centers. Colocation facilities can provide the low latency and processing speeds

Challenges at the Edge: Distributed Data

Although the edge is very much here, and edge systems are proliferating across the globe, edge databases will help overcome data processing limitations and unleash the power and promise of the edge, IoT, and 5G.

Challenges at the Edge: The IoT Skills Gap

No matter how vibrant and modern your workforce may be, the success of IoT invariably depends on ultra-low latency, two-way connectivity between sensors and devices. Traditional cloud and legacy networks can’t adequately respond to and serve an ever-growing number of IoT devices. This means that interconnected data centers will be crucial to the success of

How Colocation Enables Machine Learning as a Service

Over the last decade, what began with software as a service (SaaS) has proliferated into more advanced offerings such as platform as a service (PaaS) and infrastructure as a service (IaaS). Now, even something as complex and data-intensive as machine learning can be offered as a service—if you have enough bandwidth.

Smart Farming: How IoT and The Edge Will Feed the Human Race

As the IoT revolution transforms modern agriculture, farms will generate a tremendous amount of data that the cloud simply won’t be able to accommodate. It is estimated that the average farm will generate over four million data points a day by the year 2034. In order to feed the planet, farms in the near future

Making Data Centers Cool

Conventional data center cooling methods simply won’t hold up under the processing demands of AI, 5G wireless, Internet of Things (IoT), and the rise of Smart Cities. Promising new cooling methods will be needed not only to ensure that data centers can keep up with data processing demands but also to make data centers ever

Data Center Innovation: AI in the Data Center

Data centers today process ever larger, more complex volumes of data. Hybrid cloud, 5G wireless, the internet of things (IoT), and artificial intelligence (AI)-based applications are pushing traditional data center capabilities to their limits. Data centers require agility and intelligence to effectively manage these increasing demands and workloads.

IoT and 5G are Pushing AI to the Edge

The emergence of 5G and the exponential growth of IoT-based sensors and devices has created a demand for real-time data analysis that traditional cloud networks simply can’t provide.