An AI Factory is more than a room filled with GPUs. Compute, networking, power distribution and cooling must work as one coordinated system.
Ocula develops the physical infrastructure around the compute platform, helping turn a GPU architecture into a cabinet-level solution that can be built, deployed and expanded.
Cabinet-Level Engineering
Cabinet dimensions, equipment layouts, loading, access and cable pathways are configured around the selected compute architecture.
High-Speed Fabric Connectivity
High-density fibre assemblies and structured pathways support the large volume of connections between compute, storage and network equipment.
Integrated Liquid Cooling
Where liquid cooling is required, cooling components can be incorporated into the cabinet design rather than treated as a separate addition after the rack has been built.
Repeatable Compute Blocks
Standardised cabinet configurations can create repeatable deployment blocks, simplifying expansion as additional compute capacity is introduced.
A coordinated cabinet solution can incorporate:
The objective is not simply to house equipment. It is to create an infrastructure platform that supports installation, operation and future expansion.
More Compute per Deployment
Configure the cabinet around high-density equipment rather than adapting a conventional rack.
Cooling Designed In
Plan liquid-cooling integration as part of the cabinet platform.
Faster Cluster Expansion
Use repeatable cabinet designs to add capacity in defined building blocks.
More Order, Less Complexity
Coordinate connectivity, cooling, power and physical infrastructure before deployment.
From an initial GPU cluster to a larger AI Factory rollout, Ocula can help translate the technical architecture into a practical, repeatable cabinet and connectivity solution.
Discuss Your AI Factory Requirements today with one of our highly trained staff