i.MX8M Mini based module features Gryfalcon neural accelerator
The i.MX8M Mini SOM – Building Block with Embedded Artificial Intelligence Capabilities
i.MX8M Mini SOMs offer a compact System-on-Module platform with robust processing power and artificial intelligence acceleration using Gyrfalcon’s Lightspeeur® 2803S Neural Accelerator – designed for next generation Edge AI applications using the standard TensorFlow, Caffe and PyTorch model development frameworks.
SolidRun’s i.MX8M Mini SOMs harness NXP’s Arm Cortex A53 single/dual/quad core 1.8Ghz (with single Cortex M4 general purpose processor), i.MX8M Mini SoC built with advanced 14LPC FinFET process technology. This cutting-edge building block is tailor made for a wide range of IoT and industrial applications, featuring up to 4GB LPDDR4, 2 x USB 2.0, powerful network connectivity options including Bluetooth and optional WiFi, PCIe 2.0 and robust multimedia features including 20 audio channels (32bits), MIPI-DSI, and 1080p encoder and decoder.
Numbers referenced below are for Gyrfalcon 2803S chip.
High performance : 24 TOPs/Watt
Up to 16.8 TOPs @ 300MHz
Low Power: 16.8 TOPs @ 700mW
Support for: ResNet, MobilNet and ShiftNet
Supported standard AI frameworks such as TensorFlow, Caffe, PyTorch including pre-trained AI models
i.MX8M Mini Advantages
The i.MX8M Mini SOM based on NXP’s robust i.MX8M Mini Arm Cortex A53 processor offers a range of features tailor made for embedded Artificial Intelligence and IoT. With AI Acceleration and a range of connectivity features – SOM i.MX8M Mini is perfect for Edge AI, IoT and next generation artificial intelligence applications.
i.MX8M Mini SOM is ready to fuel the next generation of Artificial Intelligence applications – harnessing a powerful deep learning CNN AI acceleration microprocessor. The 9 x 9mm accelerator, based on Matrix Processing Engine architecture, offers multi-dimensional processing for extremely high speeds at very low power (24 TOPs/Watt).
Tiny & Scalable
At only 47 x 30mm i.MX8M Mini SOM is a complete powerhouse with a tiny footprint, making it the perfect building block for embedded applications of all sizes. With SolidRun’s design approach of mix-and-match, you can pick up the right SOM configuration for each development stage and offer a range of deployment options.
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