Optical Infrastructure for High-Performance Node Scaling

Scale-Up refers to increasing performance within a single AI compute Pod, aggregating more accelerators, higher memory bandwidth, and tighter interconnect coupling inside a server or appliance.

In modern AI systems, intra-node bandwidth requirements are growing at an unprecedented rate. Electrical interconnect at these densities faces power overhead, signal integrity constraints, and routing complexity that limit practical scalability.

RANOVUS^® enables scale-up architectures by bringing optical interconnect closer to the ASIC through NPO/CPO (Near-Packaged and Co-Packaged Optics) integration models.

By shortening electrical reach and reducing equalization overhead, our Optical Infrastructure Platform enables:

• Higher intra-node bandwidth density
• Lower power-per-bit within constrained thermal envelopes
• Reduced retimer and signal conditioning requirements
• Improved scalability of accelerator aggregation

For tightly coupled AI workloads where synchronization, latency, and power efficiency determine system performance, optical proximity restores architectural advantage.