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Every bit of performance counts when developing machine learning applications for the edge. NXP i.MX 93 applications processor, featuring the Arm® Ethos™-U65 microNPU, delivers fast, energy-efficient, ML inference processing. With NXP’s eIQ® toolkit, you can seamlessly convert, optimize, and deploy your models on the NPU with ease.
In this training, we’ll dive into the key considerations for maximizing AI/ML performance on the i.MX 93 MPU. You’ll learn how to avoid common model conversion pitfalls, navigate trade-offs in model parameters, quantization, and ML frameworks, and apply advanced techniques to further enhance performance.
Monica Houston
Technical Marketing Manager, Tria
Davis Sawyer
AI Product Marketing Manager, NXP Semiconductors
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