Arvindhan PA, Founder of OutReal, wants to bring VR gaming to the masses with a cloud-based platform that doesn’t depend on PCs or consoles, a world first. We’re providing the infrastructure to turn his vision into a reality. Here’s the story so far. There was a time when the idea of a VR headset in every household seemed like science fiction. Today, it feels more like an impending reality.
ROI is a standard business metric calculated by comparing the benefits (or returns) of an investment to the cost of the investment. The higher the ROI, the greater the benefit compared to the cost. But in the case of DCIM software, it’s important to understand that returns aren’t always direct financial gains. They can also include benefits like improved system reliability, greater operational efficiency, and a smaller environmental footprint.
Perpetual licensing: This is the traditional model where you pay a one-time fee to use the software indefinitely. This fee often includes initial technical support and updates for a limited period, typically one year. After this, you may need to purchase additional support or updates separately. Subscription licensing: In contrast, subscription licensing involves periodic payments (often monthly or annually) for the duration of use.
Data center planning can be a chore. It's often a manual and time-consuming process that involves gathering data that may or may not be accurate from multiple tools. Plus, modern data center environments are increasingly complex and distributed which adds to the challenge.
Edge computing is defined by bringing compute resources out of remote, centralised facilities and putting them at the source of the data itself. Processing and analysis is done where the data is actually generated. The performance and cost improvements that edge computing delivers are based on this proximity. By situating our data centres close to major populations, we have delivered these benefits to many UK businesses. It is an inherently ‘local’ idea.
This blog post provides an in-depth overview of these options and outlines strategies for optimizing data center efficiency, the role of AI-powered analytics, and important security measures to consider when choosing a DCIM solution.
Did you know that data centers are some of the most energy-intensive buildings? They consume 10 to 50 times the energy per floor space of a typical office building. As governments, industry regulators, and customers demand more energy efficient data centers, data center managers are tasked to comply with corporate sustainability initiatives by finding new ways to innovate and reduce energy consumption.
The evolution of information technology is governed by how businesses adapt to ever-increasing amounts of data. Those businesses most able to exploit more data, win. Terms such as ‘speed’ and ‘agility’ refer to how a business handles and uses this data. Given the 2.5 quintillion bytes created every day, there is a huge opportunity for businesses to create unassailable leadership.
Data centre efficiency is a central cost factor in enterprise IT environments. So, in the face of rising energy costs and increasingly resource-intensive workloads, it is more important than ever for businesses to seek out greater optimisation. Traditionally, CPUs have been used for the majority of data centre workloads, including network related tasks.
