OCUDU Ecosystem Developer Summit

What if every OCUDU developer — from a hobbyist or first-time contributor on a laptop to a researcher training AI for 6G networks — could test the stack over realistic radio conditions, without owning any RF hardware?

Today, OCUDU's ZMQ radio path is a perfect loopback: great for functional tests, but it never fades, never interferes, never moves. Real radio behaviour stays locked behind commercial channel emulators and lab testbeds most of the community can hardly touch.

ocudu-gpu-channel is an open-source (MIT) attempt to change that. It slots between OCUDU and srsRAN and replays standard 3GPP channel models — fading, mobility, interference — in real time on a gaming GPU, fast enough to keep up with the live stack (~180x faster than CPU on the heaviest standard profile).

When realistic radio conditions run on a graphics card a student already owns, the distance between curiosity and experiment collapses: a newcomer can watch a connection fight through fading on day one, and AI can learn from a living network instead of a recording. As radio networks move onto GPUs, this is ground the community can own — knowing how OCUDU behaves over the air before anyone touches the air.