Network roles with a clear boundary.

RILON is focused on switching and interconnect silicon for data center and backbone equipment. The public positioning excludes AI compute accelerators and military applications.

01 / Spine–Leaf

Data center fabric

Two-tier network architecture for east-west traffic between servers, storage and edge links. The fixed path model helps teams reason about latency and failure domains.

LeafSpineNetwork buffer

02 / DCI

Hub and sub-DC interconnect

High-capacity transport for synchronizing data center sites where bursts and distance create buffering pressure.

Deep-buffer role800G / 1.6T class target

03 / Backbone

Commercial and 5G networks

Network equipment programs for carrier and commercial backbone teams that need resilient throughput and a controlled supply conversation.

Commercial5G transport

System questions

Start with traffic, not a headline.

A useful technical conversation starts with traffic shape, link class, buffer behavior and qualification gates.

01
Traffic modelWhat east-west, north-south or inter-site flows need to be handled?
02
System boundaryWhere do switching, routing, DCI optics and software responsibilities meet?
03
Evidence gateWhich targets need simulation, emulation, board evidence or silicon validation?

Discuss a use case →

Scope note

Network infrastructure, not compute.

Embedded SRAM is described for packet buffering and congestion behavior. RILON does not present RU-NS as an AI accelerator, general compute device or military system.