We gave away four NVIDIA Jetson Orin Nanos at Open Source Summit
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I wrote this one up for the CIQ blog after Open Source Summit 2026 in Minneapolis. We had four NVIDIA Jetson Orin Nanos to give away, and instead of running a raffle we asked people for a 60-second pitch on what they would actually build with one. The answers were better than any raffle would have been.
Originally published on CIQ Read the full article →A few things I wanted people to walk away with:
- We loaded every board with RLC Pro AI. Each Jetson left the booth with CUDA, DOCA-OFED, and PyTorch preinstalled and tuned, so the winners could get to first inference fast rather than spending a weekend on setup.
- The best use cases were not the obvious ones. The pitch that stuck with me most came from a parent who wants to build a patient, real-time tool to help his neurodivergent son read social contexts. That is not something you find in a product brief.
- Edge AI shines on unglamorous, high-stakes work. One winner plans to surface and flag safety protocols that have not been reviewed in decades, which is exactly the kind of job local inference is good for.
You do not have to win a giveaway to try RLC Pro AI, so if you are running AI on edge hardware it is worth a look.

