Embedded Executive: Proprietary Vs. Open AI Ecosystems, Infineon
Apr 10, 2024
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Steve Tateosian from Infineon discusses the two AI ecosystem approaches: proprietary vs. open systems. They explore model integration, community loyalty, and the detailed overview of Pysock Edge Family Devices. The podcast also covers development kits and product range for edge-based applications.
Infineon offers a diverse range of AI MCU devices catering to varied customer needs and market demands.
Infineon adopts a dual approach to software ecosystem development by supporting existing partners and fostering open source contributions.
Deep dives
PSoC Edge Portfolio Expansion with AI MCUs
Infineon announced the expansion of their PSOC edge portfolio by introducing three series of devices with varying compute capabilities, peripheral support, on-chip memory, and hardware machine learning features, including neural net co-processors. This move aims to cater to diverse customer needs and market demands by providing a range of options for AI development on embedded devices.
Infinion's Dual Approach to Software Ecosystem Development
Infinion adopts a dual approach towards software ecosystem development by supporting customers who prefer existing partners for software support while also fostering open source contributions and community engagement. The acquisition of Imagine Mob enhances Infinion's software ecosystem, offering ready-to-use machine learning models and a flexible development flow to accommodate various developer preferences.
Pysock Edge Device Series E81, E83, and E84 Features and Scalability
The Pysock Edge family introduces three series of devices - E81, E83, and E84 - each offering different features and performance levels to meet specific customer requirements. The devices range from high-performance M55s with on-chip RAM to NPU support for machine learning applications and graphic display capabilities. Infinion provides a common baseboard for development kits and interchangeable Psalms, enabling developers to scale features and costs while reusing software investments across product portfolios.
AI MCU vendors have mostly been putting themselves into two camps when it comes to the ecosystem. On one side, the vendor is providing everything themselves. In the other camp, the vendor is relying on partners and the community at large to provide the ecosystem. I recently spoke to Steve Tateosian, SVP of Industrial MCUs, IoT, Wireless, and Compute Business at Infineon, as the company just announced a bunch of AI MCUs and I wanted to find out which camp he was residing in. Find out on this week’s Embedded Executives podcast.
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