Times are shown in your local time.
English
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 webinar, 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.
Not sure you can join? You should still register! Slides and a recording of the session will be available after the webinar.
Monica Houston
Technical Marketing Manager, Tria
Davis Sawyer
AI Product Marketing Manager, NXP Semiconductors
Subscribe to our newsletter to stay updated with our latest developments and if you need further assistance, we are here to help.
Subscribe Contact Support
Help us improve your experience on our site. We invite you to take our five-question survey.