Effortless Edge Infrastructure
for ISPs and MSOs
ISPs and MSOs are in a trench war to provide the lowest latency to cloud providers and their customers. Some of the big names in these industries even operate as both cloud providers and ISPs. By improving computational and transport latency, it’s possible to get a leg up on the competition in the battle for residential and business customers.
To drive latencies below the 5-millisecond mark, ISPs need edge strategies that include intelligent coordination between your cloud and edge facilities. They must also manage large amounts of edge node and edge POP infrastructure to ensure systems are closer to users and aren’t being slowed down by bandwidth limitations.
Intequus has extensive experience helping ISPs and MSOs solve these challenges by providing turnkey edge infrastructure. This management includes custom engineering edge node servers for specific client use cases and deploying and maintaining edge hardware from construction to deactivation. We fully manage your edge node and edge POP infrastructure from design, development, deployment and support to ensure you can deliver the shortest transport latency to your customer with minimal effort.
What We Do for
ISPs and MSOs
As an ISP or MSO, your customers expect speeds that can support their intelligent software at the edge. Our engineering team can create custom edge node server equipment that ensures reliability and speed, wherever your customers may be and whatever type of application they need to run.
Whether your customers span the country or the globe, you need to ensure they receive a consistent experience. Intequus offers program management that helps you work with cloud and colocation providers as well as deploy edge hardware to simplify scaling your infrastructure globally.
Another challenge for ISPs and MSOs is keeping up with product lifecycles, especially when expanding your reach globally. Intequus provides fully managed edge infrastructure to ensure your hardware operates at peak performance throughout its lifecycle from cradle to grave.
AI processes immense amounts of data, which requires fast storage to be effective. This article discusses five requirements for choosing the right AI storage.
Overloaded components in your IT infrastructure cause system bottlenecks. GPU virtualization allows you to run new applications and balance processor workloads.
Virtualization allows businesses to get the most out of their server resources. Learn which virtualization mistakes can hurt performance.