Scale-Out

Optical Fabric for Cluster-Level Expansion

Enabling horizontal scaling across nodes

Scale Out Diagram
Scale-Out refers to expanding AI capability by interconnecting multiple AI compute nodes into large training or inference clusters.

As clusters grow to hundreds or thousands of nodes, copper interconnect becomes increasingly inefficient due to reach limitations, power consumption, and physical routing constraints. Fabric bandwidth must scale without allowing interconnect power to dominate total system energy.

RANOVUS® Optical Infrastructure Platform

Optics Diagram

RANOVUS® Optical Infrastructure Platform enables high-bandwidth, low-power fabrics optimized for distributed AI clusters by: 

    • Reducing electrical channel length between ASIC and optical interface
    • Improving power efficiency at the fabric edge
    • Increasing aggregate bandwidth per switch
    • Supporting higher radix scaling for next-generation fabrics

Through co-design with hyperscalers and silicon vendors, RANOVUS® aligns optical integration with evolving AI accelerator and switching roadmaps, enabling scalable cluster growth without architectural compromise.

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