Oct 29, 2024 - 10:00 AM CEST
Learn how to run tiny neural networks directly on an IMU sensor with Intelligent Sensor Processing Unit (ISPU) for unmatched performance and efficiency.
Denise Sanfilippo
Application Development Engineer
The latest generation of 64-bit STM32 microprocessors enables advanced, secure edge AI applications.
Architecture | Core Dual Arm® Cortex®-A35 | Operating frequency 1.5 GHz | Coprocessor Arm® Cortex®-M33 | Coprocessor frequency 400 MHz | DRAM support DDR3(L)/ DDR4/ LPDDR4 16/32-bit | ||
Edge AI and multimedia | NPU 1.35 TOPS | 3D GPU 1080p60 with RGB, LVDS, DSI outputs | Video encoding H.264 encode/decode | PCIe Gen2 | Ethernet 3 ports with switch (TSN support) | USB 3 | Display interface LVDS/DSI |
Security | Target certifications SESIP Level 3 PSA Certified Level 1 | TrustZone® YES | Resource isolation framework YES | Secure provisioning ecosystem YES |
Quickly find clear, concise answers to the most common questions.
The ST Edge AI Suite is compatible with a wide range of sensors as shown in the breakdown:
The ST Edge AI Suite is optimized for ST sensors, including MEMS devices with an MLC and the ISPU, but it is also supports any sensor as long as the data provided is compatible with the tool requirements.
The tools in the ST Edge AI Suite can support different types of data:
The ST Edge AI Suite facilitates the deployment of AI models by allowing users to easily find the right tool for their project:
Embedded developers can also benefit from:
The tools featured in the ST Edge AI Suite are free of charge, including for commercial use, which contributes to reducing the costs of running AI on embedded devices.