Edge Impulse and STMicroelectronics Launching Official Support of Revolutionary STM32N6 for Powerful Edge AI Solutions
STMicroelectronics’ portfolio of cutting-edge products and technologies, combined with Edge Impulse’s pioneering edge AI platform being deployed in production within global enterprises, enables the development of compelling new offerings for customers. In addition to its comprehensive suite of tools for building edge-capable AI algorithms (from data collection to model deployment), Edge Impulse offers multiple generative AI-based features, such as AI labeling, to accelerate the creation of edge AI solutions, as well as integrations with NVIDIA’s TAO and Omniverse. This complements STMicroelectronics’ existing collaboration with NVIDIA and unlocks new opportunities to leverage these technologies on the ground floor.
The STM32N6 is ST’s new flagship microcontroller device, achieving 600x performance gain over the high-end STM32 microcontrollers today. This is achieved through the new onboard Neural-ART Accelerator, an NPU developed in-house by
With official Edge Impulse support, developers and enterprises can seamlessly leverage the incredible power and efficiency of the STM32N6 and speed up the creation of a multitude of applications, including computer vision solutions for industrial and consumer applications, energy management, and anomaly detection.
“The STM32N6 is the perfect complement to the Edge Impulse platform,” says
“The future of AI will undoubtedly have a significant edge perspective, and the STM32N6 promises to be a key to unlocking that potential,” says
To announce the support of the STM32N6 and ST’s edge AI initiatives, Edge Impulse’s Chief Revenue Officer
Edge Impulse and
About Edge Impulse
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Edge Impulse’s technology empowers developers to bring more AI products to market, and helps enterprise teams rapidly develop production-ready solutions in weeks instead of years. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. Used by health and wearable organizations like
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Source: Edge Impulse