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Posted on by Debashis Das - No Comments on JUMPtec SMARC-sAM67 – An industrial SMARC SoM based on TI AM67x Jacinto SoC for Edge AI and vision applications

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 15 Comments on Radxa Dragon Q6A – A Qualcomm QCS6490 Edge AI SBC with GbE, WiFi 6, three camera connectors

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on STMicro STM32MP23 Cortex-A35/M33 MPU features a 600 GOPS NPU for industrial IoT and ML applications

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on AAEON UP 710S Edge Intel Processor N50/N97/N100/N200 mini PC is offered with Windows 11 IoT Enterprise or Ubuntu Pro 24.04 LTS

AAEON UP 710S Edge Intel Processor N50/N97/N100/N200 mini PC is offered with Windows 11 IoT Enterprise or Ubuntu Pro 24.04 LTS

AAEON UP 710S Edge Mini PC

AAEON UP 710S Edge is a small fanless Mini PC powered by Intel Processor N50, N97, N100, or N200 Alder Lake-N SoC designed for companies wanting to upgrade industrial automation setups, and running Windows 11 IoT Enterprise 24H2 LTSC or Ubuntu Pro 24.04 LTS. Based on the UP 710S SBC introduced last November, the mini PC features a 10-pin terminal block with up to eight GPIOs, SPI, I2C, and PWM, an RS-232/422/485 COM, and support for WiFi and Bluetooth via an M.2 2230 E-Key slot. The computer also offers HDMI video output, three USB 3.2 ports, and gigabit Ethernet networking. UP 710S Edge specifications: Alder Lake-N SoC Intel Processor N50 dual-core processor up to 3.4 GHz with 6MB cache, 16EU Intel UHD Graphics @ up to 750 MHz; TDP: 6W Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics @ up to 1.2 GHz; […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES uSMARC module Renesas RZ V2N

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 520

The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025.  The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

VAR SOM AM62P development kit

Variscite VAR-SOM-AM62P is a system-on-module powered by Texas Instruments Sitara AM62P5 quad-core Cortex-A53 + Cortex-R5F SoC coupled with up to 8GB LPDDR4 RAM and 128GB eMMC flash, and designed for cost-effective multimedia applications. The SO-DIMM module offers high speed interfaces such as gigabit Ethernet and USB 2.0, a certified WiFi 6 and Bluetooth 5.4 module, and operating in the -40 to 85°C industrial range. As a VAR-SOM module, it’s pin-to-pin compatible with other modules from the family such as the VAR-SOM-6UL or VAR-SOM-IMX93. Variscite VAR-SOM-AM62P specifications: SoC – Texas Instruments Sitara AM62P5 CPU 4x Arm Cortex-A53 @ 1.4 GHz up to 12,880 DMIPS Arm Cortex-R5F real-time core up to @ 800 MHz GPU –  3D GPU with OpenGL ES 3.2 & Vulkan1.2 VPU – H.264/H.265 Video Encoder/Decoder No PRU System Memory – 1GB to 8GB LPDDR4 Storage – 8GB to 128GB eMMC flash Networking Gigabit Ethernet PHY (Analog Devices ADIN1300) […]

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