A partnership has been announced that has the goal of creating a low-latency private Internet for AI traffic. The three partners involved are Moonshot Energy, a manufacturer of electrical and modular infrastructure for AI data centers, QumulusAI, Inc., a provider of GPU-as-a Service, and Connected Nation Internet Exchange, which has been promoting the creation of more Internet Exchanges.

The group’s goal is to initially create 25 carrier-neutral interexchange points designed to handle only low-latency traffic. The goal is to scale to 125 locations, many which would be located at major research university campuses and municipalities. The coalition has labeled the new hubs as AI Pods.

The goal of this coalition is to create a network designed specifically for AI and other data traffic that requires low latency. The network will be designed with highly efficient switches at the hub sites that will move traffic quickly. This would essentially be a private network that would isolate low-latency traffic from the large volumes of general Internet traffic that can clog up Internet hubs at busy times.

The idea of creating private networks for data is an old one. Many universities in the country are connected to the Internet2 fiber network that allows for low-cost transfer of large amounts of research and other data between universities. Many corporations have created private networks between company sites to keep corporate data traffic out of normal Internet traffic flow and to provide a higher level of security.

Tackling this as a new venture makes a lot of sense. If the companies that run the large Internet hubs  decided to somehow give priority to AI or other traffic to reduce latency, they would awaken cries about violations of network neutrality, since such behavior is exactly what network neutrality is supposed to block. If the normal Internet hubs gave priority to bits from AI data centers, then all other traffic would get a lower priority and see more problems from delays. However, a private network for AI avoids such issues by isolating AI traffic from other traffic.

The first data site for the network is scheduled for activation in July 2026, located at the campus of Wichita State University. The coalition is working towards providing dual, geographically diverse fiber routes between the new AI hubs using 400 GB transport. Each AI site would house redundant 400 GB IX ports and switches. Data centers that want to connect to the network would acquire dark fiber to one of the AI hubs.

QumulusAI says the new network would result in moving GPU computing directly to the network edge, meaning the AI network could be expanded to reach large businesses and other users of large amounts of AI data.

Connected Nation has been touting the benefits of creating more Internet hubs for a number of years. These new hubs would also become carrier-neutral locations for the interexchange of normal Internet traffic, which would lower the cost to ISPs to reach the Internet.