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cExpress-R8 COM Express Type 6 Compact module features up to Ryzen Embedded 8845HS SoC, supports up to 96GB DDR5

AMD Ryzen Embedded 8000 COM Express Type 6 Module

ADLINK cExpress-R8 is a COM Express Type 6 Compact CPU module powered by a choice of AMD Ryzen Embedded 8000 SoCs, up to the 8-core Ryzen Embedded 8845HS SKU with up to 39 TOPS of AI performance, support for up to 96GB of DDR5 (ECC or non-ECC) memory, and optional NVMe SSD BGA storage. The module also features an Intel i226 2.5GbE controller, a SEMA board controller, and a debug connector, and exposes all I/Os through two standard 220-pin COM Express board-to-board connectors with four SATA III, up to 16x PCIe Gen4 lanes, DDI, LVDS, and/or eDP interface for up to four displays, and more. cExpress-R8 specifications: Hawk Point SoC (one or the other) AMD Ryzen Embedded 8845HS octa-core processor up to 5.1GHz with 6 WG (WorkGroup) AMD Radeon RDNA 3 Graphics Core; TDP: 35-54W AMD Ryzen Embedded 8840U octa-core processor up to 5.1GHz with 6 WG AMD Radeon RDNA […]

NanoCOM-MTU – A COM Express Type 10 module with 28W Intel Core Ultra Meteor Lake CPU

AAEON NanoCOM-MTU

AAEON NanoCOM-MTU is a COM Express Type 10 CPU Module powered by 28W Intel Core Ultra 5/7 “Meteor Lake” processors with up to 16 cores and 22 threads on a compact 84mm x 55mm form factor. The Intel Core Ultra COM Express module supports up to 32GB of LPDDR5(X) memory, 256GB of NVMe BGA storage, and exposes various I/Os through Row A/B connectors with two SATA  III, four PCIe 4.0 lanes, and more. NanoCOM-MTU specifications: Meteor Lake SoC (one or the other) Intel Core Ultra 7 155H 16-core (6P+8E+2LPE) processor @ 1.4 / 4.8 GHz with 24MB cache, Intel 8Xe LPG graphics @ 2.25 GHz, Intel AI Boost NPU; TDP: 28W Intel Core Ultra 5 125H 14-core (4P+8E+2LPE) processor @ 1.2 / 4.5 GHz with 18MB cache, Intel 7Xe LPG graphics @ 2.2 GHz, Intel AI Boost NPU; TDP: 28W System Memory – Up to 32GB LPDDR5(X) @ 6400MHz Storage […]

AMobile SoM-SD520/SoM-SD720 SoM targets Edge and Generative AI with MediaTek Genio 520/720 SoC

Mediatek Genio 520 and 720 carrier board and development kit

Taiwanese company AMobile Solutions has launched the SoM-SD520 and SoM-SD720 system-on-modules, powered by MediaTek Genio 520 & Genio 720 SoCs, respectively, and designed for Edge AI and Generative AI applications with up to 10 TOPS of AI computing performance. The modules ship with up to 16GB LPDDR5, 128GB UFS3.1 storage, and an optional WiFI 6 and Bluetooth 5.2 wireless module. It’s mainly suitable for smart surveillance, industrial automation, smart retail terminals/self-service kiosks, smart healthcare, and other applications benefiting from Edge or Generative AI on-device. SoM-SD520 and SoM-SD720 specifications: SoC (one or the other) MediaTek Genio 520 CPU – 2x Cortex-A78 up to 2.2GHz,  6x Cortex-A55 up to 2.0 GHz GPU – Arm Mali-G57 MC2 up to 880 MHz VPU Video Decode – Up to 1920 x 1200 @ 60fps Video Encode – Up to 1920 x 1200 @ 60fps ISP – 1x ISP NPU – NPU850 AI accelerator up to 9 […]

Get your carrier board for the LattePanda Mu x86 Compute Module manufactured for free, win prizes (Sponsored)

LattePanda MU Carrier Board Design Challenge

DFRobot and NextPCB are currently running a PCB design contest offering free PCB manufacturing and prizes worth up to $800 to people designing and submitting a carrier board design for the LattePanda Mu x86 Compute Module. As a reminder, the LattePanda Mu Compute Module is an x86 system-on-module initially launched with the Intel Processor N100 Alder Lake-N CPU, and later offered with a more powerful Core i3-N305 octa-core processor.  It comes with up to 16GB LPDDR5-4800, 64GB eMMC 5.1 flash, and exposes I/Os through a 260-pin SO-DIMM connector. Arnon reviewed the LattePanda Mu (N100) with Windows 11 and Ubuntu 24.04 using the two reference carrier boards from DFRobot. But now, the company wants to encourage the development of more carrier boards for the LattePanda Mu, hence the PCB design contest. So what can you win exactly? Winners selected by a panel of judges from DFRobot and NextPCB will be offered […]

EMAC SoM-35D1F industrial SO-DIMM SoM features NuvoTon MA35D1 SoC, two GbE interfaces

SoM 35D1F ARM64 System on Module

EMAC SoM-35D1F is an industrial-grade SoM built around the NuvoTon NuMicro MA35D1 dual-core Cortex-A35/M4 SoC with a 200-pin SO-DIMM edge connector. The module comes with 512MB DDR3L RAM and up to 16GB eMMC flash, and targets applications such as edge gateways, HMI systems, industrial automation, and smart energy systems. The SoM-35D1F also features dual Gigabit Ethernet, 4x serial interfaces (RS485/RS232), 2x CAN-FD, multiple USB 2.0 interfaces, I2S audio, SPI, I2C, and 14x GPIO. It also supports CSI camera input, a 24-bit LCD controller with resistive touch, and 12-bit ADCs for analog sensing. Additionally, it comes with security features like TrustZone, Secure Boot, and TSI (Trusted System Identity). EMAC SoM-35D1F specifications: SoC – Nuvoton NuMicro MA35D1 CPU 2x Arm Cortex-A35 cores at up to 800 MHz Arm Cortex-M4 processor core at  up to 180 MHz GPU – 2D Graphic Engine (GFX) VPU – H.264 video decoder up to 1920×1080 @ 45 Hz; […]

reComputer Mini is a compact carrier board for the NVIDIA Jetson Orin Nano/NX module

reComputer Mini Carrier Board for NVIDIA Jetson Orin Nano NX

Seeed Studio’s reComputer Mini is a small carrier board for the NVIDIA Jetson Orin Nano or Jetson Orin NX module that’s barely larger the the system-on-module itself at 88 x 56 x 17mm, or slightly larger than a credit card, and suitable for robotics and drone applications. Despite its small size, the reComputer Mini still offers a good range of interfaces, including two USB 3.2 Type-A ports, a USB Type-C port with DisplayPort alt-mode, M.2 sockets for NVMe storage and wireless expansion, UART and USB JST connectors, and two 60-pin high-speed connectors for add-on boards. The board is compatible with 48V battery power systems thanks to a wide 12V to 54V DC input range through an XT30 power connector. reComputer Mini carrier board specifications: Compatible SoM – NVIDIA Jetson Orin Nano, Jetson Orin NX with up to 100 TOPS of AI performance Storage – M.2 Key-M PCIe socket for M.2 […]

82 x 50mm SoM combines NXP i.MX 8M Mini SoC with 25 TOPS DEEPX DX-M1 AI accelerator

NXP i.MX 8M Mini + DEEP DX-M1 SoM

Virtium Embedded Artists has just announced the launch of the iMX8M Mini DX-M1 system-on-module (SoM) combining an NXP i.MX 8M Mini quad-core Arm application processor with a 25 TOPS DEEPX DX-M1 AI accelerator in a compact 82 x 50mm footprint. The NXP SoC is paired with 2GB 32-bit RAM and 16GB eMMC flash, while the DEEPX NPU gets 4GB 64-bit RAM and a QSPI flash. The module also features a PMIC, a gigabit Ethernet PHY, an optional WiFI 6E and Bluetooth 5.4 module, and exposes all I/Os through a 314-pin MXM edge connector. They’ve somehow managed to pack a lot of features into such a small module. iMX8M Mini DX-M1 SOM specifications: SoC – NXP i.MX 8M Mini CPU Quad-core Cortex-A53 processor @ up to 1.6 (industrial) or 1.8 GHz (commercial) Cortex-M4F real-time core @ 400 MHz GPU Vivante GC320 2D GPU Vivante GCNanoUltra 2D/3D GPU with support for OpenVG […]

Compulab MCM-iMX95 – A solder-down NXP i.MX 95 SoM

NXP i.MX 95 SoM QFN SMD package

Compulab MCM-iMX95 is yet another NXP i.MX 95 system-on-module (SoM), whose main selling point is being offered as a solder-down QFN package with SMD pads. The hexa-core Cortex-A55 Edge AI module ships with 4GB to 16GB LPDDR5 memory, 16GB to 128GB eMMC flash, an NXP PF0900 PMIC, and an RTC. All I/Os are exposed through 180 QFN SMD pads, including LVDS and MIPI DSI display interfaces, two MIPI CSI camera interfaces, two Gigabit plus one 10 Gbps Ethernet MACs, two PCIe Gen3 x1 interfaces, and more. Compulab MCM-iMX95 specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 cores @ up to 1.8 GHz Real-time co-processors – Arm Cortex-M7 @ 800MHz and Cortex-M33 @ 250MHz 2D/3D Graphics Acceleration 3D Arm Mali GPU with OpenGL ES 3.2, Vulkan 1.2, OpenCL 3.0 2D GPU Video Encode / Decode – 4Kp30 H.265 and H.264 AI/ML – 2 TOPS eIQ Neutron NPU System […]

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