The Network Behind the Workload: Why Optical Waves Matter in the AI Era
September 24, 2026 by Claude West
The rapid growth of artificial intelligence is changing the way organizations think about infrastructure. Much of the conversation focuses on processors, power, storage, and data-center capacity. But an AI workload rarely lives in only one place. Training data may originate in several regions. Compute may be concentrated where power and space are available. Storage, applications, and users may sit hundreds or thousands of miles away.
That makes the network between locations more than a supporting utility. It becomes part of the workload architecture.
Large workloads create large transport requirements
When organizations move large datasets between geographically dispersed facilities, capacity is only the starting point. The network design must also account for route length, latency, physical diversity, recovery planning, and the time required to place new capacity into service.
During Cogent's recent Optical Wave Services webinar, one case study involved AI compute and training resources distributed across multiple U.S. locations. The design challenge was not simply to connect the sites. It was to create high-capacity paths that balanced performance with geographic diversity and survivability.
This pattern is increasingly familiar. Infrastructure teams may need to connect training environments, inference systems, storage platforms, cloud on-ramps, or high-performance computing resources across metro, regional, and long-haul distances. In each case, the physical path matters.
What is an optical wave?
An optical wave is a dedicated point-to-point connection carried as a channel of light across fiber. Dense wavelength-division multiplexing, or DWDM, allows multiple optical channels to travel over the same fiber pair while remaining logically separate.
For the customer, the result is straightforward: dedicated capacity between two endpoints. Waves operate at the optical layer and are protocol agnostic. Cogent's Optical Wave Service eliminates payload sizing restrictions introduced with many Layer 2 or Layer 3 services. This results in a reduction of compute power required to segment and reassemble the data stream by the sending and receiving hardware.
Cogent’s Wave Services support 10G, 100G, and 400G interfaces, with multi-terabit (MOFN) solutions available for larger requirements. The service is designed for data-center interconnection, high-volume transport, latency-sensitive applications, business continuity, and disaster recovery.
Predictability begins with the path
A fixed path gives infrastructure teams something valuable: the ability to evaluate the route before deployment. Route maps, mileage, expected round-trip delay, and diversity options can become part of the design discussion instead of being discovered after the circuit is installed.
That visibility is especially important for latency-sensitive environments. Financial applications, distributed databases, storage replication, and AI pipelines may respond differently to changes in path length or network behavior. A deterministic optical path helps teams build around known characteristics.
It also changes the redundancy conversation. Two circuits are not necessarily diverse simply because they come from two orders or two providers. Meaningful diversity requires an understanding of the physical routes, common facilities, and endpoint design. The route itself must be examined.
Capacity without owning the fiber
Organizations with very large requirements sometimes begin by considering dark fiber. Dark fiber can provide control, but it also transfers responsibility for optical equipment, engineering, operations, maintenance, and long-term capacity planning to the customer.
A lit wave service offers another approach: managed optical fiber network (MOFN) capacity without requiring the customer to build and operate the complete transmission system. Capacity can grow in service increments as requirements evolve, while the provider remains responsible for the underlying optical platform.
Why reach and readiness matter
A network can advertise a high interface speed and still be unable to deliver that speed at every location or across every route. Buyers should ask where the capacity is currently available, whether both endpoints are on-net, how the route is constructed, and what work is required before service can be delivered.
Cogent's Wave Services is a purpose-built, wholly owned North American network reaching more than 1,150 carrier-neutral data centers in 155 markets across the United States, Canada, and Mexico. The published service portfolio includes long-haul and metro waves, route KMZ, latency metrics and 10G, 100G, 400G, and multi-terabit capacity options.
Start with the workload, then examine the route
The right transport design begins with a clear view of the application. How much data must move? Between which locations? What latency is acceptable? How much physical diversity is required? How quickly must capacity be available? And how will requirements change over the next several years?
Optical waves are not the answer to every connectivity problem. But when organizations need dedicated high capacity, predictable routing, and visibility into the physical path, it can provide a clean foundation for the network behind the workload.
For teams evaluating a new data-center, cloud, AI, or business-continuity design, the next step is practical: identify the endpoints and capacity requirement, then compare available routes, latency, diversity, scalability, and delivery options.
About the Author:
Claude West is a Senior Manager at Cogent, support the sales engineering organization and focused on the business development of Cogent's Optical Wave Services portfolio. He has spent over two decades focused on Managed Optical Fiber Networks and other high capacity customer opportunities. He holds multiple professional level certifications from Cisco, MEF, Ciena, and a Bachelor's Degree in Electronics Engineering Technology.