Network readiness must match the power schedule
A powered shell without a deliverable fiber path can delay useful capacity. Route engineering, entrances, splicing, and facility approvals need to run alongside site development.
Industry
AI & High-Performance Computing
High-count fiber and dedicated pathways for compute environments that need to move large datasets among clusters, storage, cloud, and data centers.
The operating reality
Infrastructure for sustained data movement.
AI and high-performance computing change the network from a periodic transport requirement into a continuous part of the compute architecture. Training data, checkpoints, model outputs, storage replication, and distributed workloads all compete for predictable paths between expensive resources.
DRDI separates the long-lived physical layer from the faster optical upgrade cycle. Customers can control their optics on dedicated strands, reserve additional fiber or conduit, and evaluate the exact regional route before committing compute capacity to a site.
Optical controlUpgrade transmission equipment without rebuilding the underlying route.
Physical headroomPlan additional pairs or dedicated conduit alongside the first deployment.
Direct accountabilityCoordinate engineering, construction, delivery, and operations with one team.
What makes the network difficult
Build around the pressure points.
The strongest design starts with the physical and operational constraints that can interrupt the mission, not a generic bandwidth recommendation.
Sustained east-west traffic
Compute, storage, and recovery environments can create persistent transfers. The design must account for the traffic model, optical reach, latency objectives, and failure behavior.
Failure domains are physical
Logical redundancy cannot overcome two paths that share the same duct, bridge, entrance, or construction exposure. The civil design needs the same scrutiny as the network design.
Common applications
Where dedicated infrastructure changes the equation.
Every location remains subject to detailed serviceability, entrance, route, and commercial review.
- Cluster-to-cluster and campus interconnection
- Training-data and storage replication
- AI data-center and cloud connectivity
- Dedicated research computing networks
- Disaster recovery and checkpoint movement
- New compute-site fiber and conduit builds
Match the asset to the requirement
Three ways to control the path.
DRDI can combine dedicated strands, reserved conduit, and new construction when different parts of the project require different ownership or expansion rights.
DRDI solution
Dark Fiber
Customer-lit strands that support changing optical platforms, higher channel counts, and security controls owned by the compute operator.
Explore Dark Fiber DRDI solutionPrivate Conduit
A dedicated pathway for operators that need maximum expansion control, multiple cables, or a long-term infrastructure position.
Explore Private Conduit DRDI solutionCustom Network Builds
Purpose-built routes, laterals, and entrances coordinated with campus, utility, and data-center development schedules.
Explore Custom Network BuildsQuestions worth asking
Evaluate the path, responsibilities, and operating model.
- What traffic must move continuously, and what can tolerate delay?
- Who owns optical design, sparing, encryption, and monitoring?
- Which shared-risk points remain between compute locations?
- How much fiber or conduit should be reserved for the next hardware cycle?
Practical answers
Questions we expect early.
Can capacity increase without changing the fiber contract?
Often, yes. With dark fiber, the customer can upgrade compatible optics on the contracted strands. Fiber count, optical design, and agreement terms still define the available path.
Does DRDI provide the optical equipment?
Not for a standard dark-fiber service. The customer owns the optics; DRDI can coordinate demarcation, testing, and passive-path requirements with the customer’s engineering team.
How early should network planning begin for a new compute site?
As early as site feasibility. Entrance design, permitting, construction, facility access, and equipment lead times can all affect the date when compute capacity becomes usable.
Design ai & high-performance computing connectivity around real constraints.
Bring the endpoints, technical requirements, procurement horizon, and failure assumptions. We’ll identify the route and ownership model that deserves further engineering.