We recently announced compiler enablement for NXP Semiconductors' eIQ® Neutron NPU. Today, we’re sharing a hands-on demo of how that helps developers to increase iteration speed for their edge AI products.
Our AI Engineer Juan Pisula built a factory monitoring agent on NXP's i.MX 95 applications processor. It detects fires and triggers actions, using a combination of vision and language models.
The joint NXP × roofline software enablement provides broad model support across CPU, GPU, and NPU, allowing developers to easily swap and test models. In this demo, switching from a full VLM to CLIP for a more targeted "fire vs no fire" classification delivers a 7x speed-up.
That’s what faster iteration cycles look like, resulting in accelerated time-to-market for edge AI products.