Arm Booth Tour at Embedded World 2024, Embedded AI accelerators Ethos-U85 NPU U65, offline LLM

At Embedded World 2024, the ARM booth showcased various AI accelerators, notably the Ethos-U85 NPU and U65, alongside demonstrations highlighting their capabilities. Pablo Fraile - Director Market Segment, IoT line of business at Arm, introduced a demo featuring NXP boards running an Nvidia open-source AI model for face and body tracking. A comparison between boards running solely on the Cortex A55 cluster and one incorporating the Ethos U65 NPU revealed a significant performance boost in the latter, with 11.5 FPS and lower CPU utilization and temperature.
The Arm Ethos-U85 accelerator, announced at the event, represents the third generation of MPUs from ARM, boasting enhanced power efficiency and support for Transformer networks. Demonstrations showcased a Transformer network running on both the U65 and U85, illustrating a notable improvement in inference time with the latter due to comprehensive support for all network operators within the Ethos U85.
The rapid evolution in AI performance stems from advancements not only in silicon technology but also in software, compilers, tools, and model support. ARM emphasizes a holistic approach to solution development, leveraging both hardware and software innovations to achieve optimal performance gains year after year.
While NPUs offer significant acceleration for specific workloads, ARM acknowledges the importance of ubiquity in AI deployment. Cortex A processors, widely adopted in mobile devices, are increasingly making their way into IoT devices, enabling the execution of large-scale models directly on the edge for enhanced efficiency and scalability.
ARM's Cortex A series processors present a promising avenue for deploying AI models ubiquitously across various devices, with the potential for over-the-air model updates and optimizations. The combination of offline and online AI processing, leveraging the speed of 5G connectivity, opens avenues for more sophisticated AI assistants and personalized user experiences.
The final demo showcased ARM's collaboration with Ambiq to bring AI capabilities to microprocessors like the Cortex M55. The Apollo A510 processor, based on the Cortex M55, demonstrated significant performance and energy efficiency improvements over its predecessor, the Cortex M4. The integration of AI acceleration within low-power MCUs enables a wide range of edge AI applications, catering to devices with stringent power consumption requirements.
ARM's commitment to advancing AI at the edge extends beyond silicon development to fostering innovation among its partners. The versatility and efficiency of ARM's technology empower developers to explore diverse AI applications, from smart homes to IoT devices, with a focus on optimizing performance while minimizing energy consumption.
In conclusion, ARM's booth at Embedded World 2024 showcased a range of AI accelerators and processors, highlighting the company's dedication to advancing AI at the edge. Through continuous innovation in both hardware and software, ARM aims to enable widespread deployment of AI across diverse devices, driving enhanced efficiency, scalability, and user experiences.
Watch all my videos from the Embedded World 2024 here: • Embedded World
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[@nickalexander2505]

Especially after watching this, I’m amazed at their stock performance currently. These products all show major improvement from year past as well as utilization of what the market needs, a fully moldable AI model to then be used in whatever specific use case a consumer or company desires. The fact that they are attempting to do what AI was meant for, create highly specialized environments of training and user input to build on a very specific learning model, IE calculus formulas and functions with incredibly higher accuracy than a LLM focusing on just intaking all information

[@charbax]

I've always said Arm should be more valuable than Intel, happy this happened. 😆 Although the stock market is a bit of a casino and that surge reminded me of GameStop a bit. 😄

[@Vlad-qu5mt]

Don't forget power efficiency

[@nolan412]

But how do you program it? Vulkan? A new coprocessor instruction set?