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Root Commit releases free training materials on OpenEmbedded and Yocto using the BeaglePlay SBC

BeaglePlay Yocto Project Tutorial

Michael Opdenacker, Founder of Root Commit, has published free and open-source training materials on OpenEmbedded and Yocto using the BeaglePlay SBC powered by a Texas Instruments AM625 processor. If the name rings a bell, it’s because Michael was the founder of Bootlin (previously Free Electrons) before selling the company to employees in 2021. He’s now started a new company called Root Commit, where he continues providing Embedded Linux training and development services. He’s kept the tradition of releasing free training materials, with the latest course being related to Yocto development on the BeaglePlay board. You’ll find resources on the Root Commit website with three files, including 220 pages of lectures, 18 practical labs for the BeaglePlay board and QEMU, and source code/patchsets released under a Creative Commons BY-SA 4.0 license. The course includes an introduction to the Yocto Project 5.0 and Embedded Linux, a Getting Started guide explaining how to […]

Geniatech AP880 Edge AI embedded systems pair NXP i.MX 8M Plus SoC with 40 TOPS Kinara Ara-2 AI accelerator

Geniatech AP880 and AP880 Mini Edge AI Embedded Systems

Geniatech AP880 and AP880 Mini are two Edge AI embedded computers powered by an NXP i.MX 8M Plus AI SoC and a 40 TOPS Kinara Ara-2 AI accelerator for industrial edge applications that may benefit from AI acceleration in applications such as optical inspection. The AP880 is a single board computer design with the Ara-2 soldered on the board, while the AP880 has a modular design with a SMARC SoM, a carrier board, and an M.2 Kinara Ara-2 AI accelerator, likely Geniatech’s own AIM M2 M.2 module. Geniateach AP880 and AP880 mini specifications: SoC – NXP i.MX 8M Plus CPU – Quad-core Cortex-A53 processor @ 1.8GHz, Arm Cortex-M7 real-time core @ 800 MHz GPU – Vivante GC7000UL OpenGL ES 1.1, 2.0, 3.0, OpenCL 1.2, Vulkan support AI accelerator – 2.3 TOPS NPU VPU Encoder up to 1080p60 H.264, H.265 Decoder up to 1080p60 H.264, H.265 AI Accelerator – 40 TOPS […]

Compulab IOT-LINK – An ultra-compact NXP i.MX 9352 IoT gateway with WiFi 6, Bluetooth 5.4, 4G LTE Cat 1-bis, and GbE connectivity

Compulab IOT-LINK

Compulab IOT-LINK is a low-cost, tiny industrial IoT gateway based on NXP i.MX 9352 Arm Cortex-A55/M33 AI SoC with support for Gigabit Ethernet, 4G LTE Cat 1-bis, WiFi 6, Bluetooth 5.4, and Wireless Mesh connectivity. The fanless gateway also features two RS485 or CAN-FD interfaces and three DI / DO, and as an industrial-grade hardware platform, it takes 12V to 24V DC input, and can operate 24/7 in the -40°C to 80°C temperature range. Target applications include HVAC monitoring, industrial predictive maintenance, energy storage, EV charging, vehicle telematics and fleet management, and lighting control. IOT-LINK specifications: SoC – NXP i.MX 9352 CPU 2x Arm Cortex-A55 cores @ up to 1.7GHz Arm Cortex-M33 real-time core @ 250 MHz NPU – 0.5 TOPS Arm Ethos U65 microNPU System Memory – Up to 2GB LPDDR4 Storage – Up to 64GB eMMC flash Networking Gigabit Ethernet RJ45 port 4G/LTE Cat 1-bis cellular modem with […]

KSTR-IMX93 single board computer pairs NXP i.MX 93 SoC with Nordic Semi nRF5340, nRF9151, and nRF7002 wireless chips

KSTR-IMX93 single board computer

Conclusive Engineering KSTR-IMX93 is a single board computer (SBC) powered by an NXP i.MX 93 Cortex-A55/M33 AI SoC and equipped with three Nordic Semi wireless solutions, namely nRF5340 SoC, nRF9151 SiP, and nRF7002 WiFi 6 coprocessor. This allows the board to offer a wide range of wireless and wired connectivity options with Gigabit Ethernet, dual-band WiFi 6, Bluetooth 5.4 LE, Zigbee, Thread, NB-IoT, LTE Cat-M1, and GNSS. In some way, the KSTR-IMX93 is the equivalent of combining a Nordic Thingy:91 X Cellular IoT development platform with an Arm Linux SBC. KSTR-IMX93 specifications: SoC – NXP i.MX 93 CPU Single or dual-core Arm Cortex-A55 up to 1.7 GHz Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Memory – 640 KB OCRAM w/ ECC Security – EdgeLock Secure Enclave System Memory […]

JUMPtec SMARC-sAM67 – An industrial SMARC SoM based on TI AM67x Jacinto SoC for Edge AI and vision applications

Jumptec SMARC sAM67 SoM

JUMPtec, a subsidiary of Kontron, has recently introduced SMARC-sAM67, an industrial SMARC SoM built around Texas Instruments’ AM67x Jacinto dual- or quad-core processors (AM67, AM67A, or AM67D) designed for industrial, robotic, and vision applications. The SMARC-sAM67 module features up to 8GB LPDDR4 memory, up to 64GB eMMC 5.1 flash, dual Gigabit Ethernet, PCIe Gen3 x1 expansion, USB 3.2 and USB 2.0, and display interfaces including dual-channel LVDS and DSI (or optional DisplayPort). It also features four UARTs, CAN bus, SPI, I2S, I2C, MIPI CSI cameras, and various industrial features such as extended temperature support (-40°C to 85°C), failsafe update support, and an ultra-low power RTC. JUMPtec SMARC-sAM67 SoM Specifications: SoC – Texas Instruments dual- or quad-core AM67x Jacinto processor (Standard AM67, optional AM67A or AM67D) System Memory – Up to 8GB LPDDR4 RAM Storage – Up to 64GB eMMC 5.1 flash storage Networking – 2x 10/100/1000 Mbps Ethernet PHY with […]

Radxa Dragon Q6A – A Qualcomm QCS6490 Edge AI SBC with GbE, WiFi 6, three camera connectors

Radxa Dragon Q6A

Radxa Dragon Q6A is an upcoming credit card-sized SBC powered by a Qualcomm QCS6490 octa-core SoC with a 12 TOPS AI accelerator, up to 16GB LPDDR5 memory, and the usual ports found on Raspberry Pi-like single board computers such as gigabit Ethernet, four USB ports, HDMI video output, and a 40-pin GPIO header. The board will also feature an M.2 Key-M socket for SSD storage, a WiFi 6 and Bluetooth 5.4 wireless module, a MIPI DSI display interface, three MIPI CSI connectors, a connector for an eMMC or UFS flash module, a microphone input connector, and an RTC battery connector. Radxa Dragon Q6A specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL […]

Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

Metis Compute Board

Axelera Metis Computer Board is a Rockchip RK3588 mini-ITX motherboard equipped with a Metis AIPU (AI Processing Unit) capable of delivering up to 214 TOPS, 16GB LPDDR4 memory for the CPU, and 4GB LPDDR4x RAM for the AI accelerator. I first came across the Axelera Metis AIPU in M.2 and PCIe card in 2023, and I was rather impressed with the advertised 214 TOPS of AI performance promised in this form factor and relatively affordable $149 price tag considering the price-to-performance ratio. At the time, it was still hard to source the chip and module due to limited quantities, and in 2024, it became easier to evaluate the solution with the Axelera Metis PCIe Arm AI evaluation kit based on a Firefly ITX-3588J mini-ITX motherboard equipped with a 214 TOPS Metis AIPU PCIe card. The new Metis Compute Board is similar, but in a more compact form factor since the […]

STMicro STM32MP23 Cortex-A35/M33 MPU features a 600 GOPS NPU for industrial IoT and ML applications

STM32MP235 block diagram

STMicroelectronics STM32MP23 is a dual-core Cortex-A35 general-purpose microprocessor (MPU) with a Cortex-M33 real-time core, and 600 GOPS of performance operating at up to 125°C and designed for industrial and Internet-of-Things (IoT) edge computing, advanced HMI, and machine-learning (ML) applications. It follows the STM32MP25 series unveiled in 2023 and launched the following year as the first member of the STM32MP2 family. The STM32MP23 is a cost-down version of the STM32MP25 with similar specifications (and pin-to-pin compatible packages), but the new family has a weaker 0.6 TOPS NPU, and tops at two Ethernet ports for the high-end parts instead of three. Ditto for CAN Bus interfaces (2x vs 3x). Other changes include a 16-bit memory interface and the lack of PCIe and USB 3.0 interfaces. STM32MP23 specifications: CPU – Single or dual Arm Cortex-A35 cores running at up to 1.5 GHz or 1.2 GHz with 512KB L2 cache Real-time MCU – Arm […]

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