Ronetix launches NXP i.MX93 SoMs in SMARC and OSM-L form factors

RNX iMX93 SMARC

Austrian embedded equipment manufacturer, Ronetix, has released two i.MX93 system-on-modules (SoMs): the RNX-iMX93-OSM that follows the Open Standard Module (OSM) form factor, and the RNX-iMX93-SMARC compliant with the SMARC 2.1 (smart mobility architecture) standard. Ronetix i.MX93 SoMs are powered by the NXP i.MX93 processor featuring a 64-bit dual-core Arm Cortex-A55 application processor running at 1.7GHz and a Cortex-M33 core running at 250MHz for low-latency and real-time tasks. The SoC supports up to 2GB LPDDR4 RAM and 512GB eMMC storage, and the integrated Arm Ethos-U65 microNPU offers up to 0.5 TOPS of computing power for machine vision applications and intelligent energy management (IEM). Applicable for industrial automation and IoT, the SoMs also feature two CAN and Ethernet interfaces to aid high-speed data transfer. Other hardware featuring the i.MX93 that we have covered recently include the ADLINK OSM-IMX93, MaaXBoard OSM93, and Ka-Ro Electronics’ QS93. The RNX-iMX93-SMARC system-on-module comes in 82 x 50mm […]

Arduino announces the Pro 4G Module and Portenta Mid Carrier board at Embedded World 2024

Arduino Pro Portenta Mid carrier and 4G Module

Arduino has announced two new products that are part of the Arduino Pro family at Embedded World 2024: the Arduino Pro 4G Module and Arduino Portenta Mid Carrier board. Arduino Pro 4G module Two variants of the mini PCIe module are available: one global and one for the EMEA and Southeast Asia markets with similar interfaces, but based on different Quectel modules, and the global model also supports GNSS. Specifications: Both also support 3G/2G fallback if 4G LTE network connectivity is out of range. The 4G LTE module works with Arduino Pro carrier boards featuring a mini PCIe connector such as the Max Carrier and the new Mid Carrier which we will be covering below. More information can be found on the documentation website and product page. The Arduino Pro 4G module global goes for $65 while the EMEA version sells for 29 Euros. Those prices are without antennas which […]

Variscite DART-MX95 SoM – Edge Computing with dual GbE, 10GbE, Wi-Fi 6, and AI/ML capabilities

Variscite DART MX95 SoM

Introduced at Embedded World 2024, the Variscite DART-MX95 SoM is powered by NXP’s i.MX 95 SoC and features an array of high-speed peripherals including dual GbE, 10GbE, and dual PCIe interfaces. Additionally, this SoM supports up to 16GB LPDDR5 RAM and up to 128GB of eMMC storage. It features a MIPI-DSI display interface, multiple audio interfaces, MIPI CSI2 for camera connectivity, USB ports, and a wide range of other functionalities, making it highly versatile for a variety of applications. Previously, we have covered many different SoMs designed by Variscite, including the Variscite VAR-SOM-6UL, Variscite DART-MX8M, and Variscite DART-6UL SoM, among others. Feel free to check those out if you are looking for products with NXP SoCs. Variscite DART-MX95 SoM Specifications SoC – NXP i.MX 95 CPU Up to 6x 2.0GHz Arm Cortex-A55 cores Real-time co-processors – 800MHz Cortex-M7 and 250MHz Cortex-M33. 2D/3D Graphics Acceleration 3D GPU with OpenGL ES 3.2, […]

ADLINK OSM-IMX93 is an OSM Size-L module based on NXP i.MX 93 SoC

ADLINK OSM-IMX93

ADLINK OSM-IMX93 is an OSM r1.1 Size-L module based on NXP i.MX 93 Arm Cortex-A55 & Cortex-M33 AI processor, and the first from the company to comply with the Open Standard Module (OSM) standard. The 45x45mm module is fitted with up to 2GB LPDDR4L, 128GB eMMC flash, an optional WiFi/Bluetooth module, and its 662 contacts provide a range of interfaces that include LVDS and DSI graphics output, 2x GbE (including 1x TSN capable), 2x CAN bus, I2S audio codec interface, USB2 interfaces, and more. ADLINK OSM-IMX93 specifications: SoC – NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x 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 – 1 or 2GB LPDDR4L Storage […]

MaaXBoard OSM93 – Business card-sized SBC features NXP i.MX 93 AI SoC, supports Raspberry Pi HATs

MaaXBoard OSM93 SBC

MaaXBoard OSM93 is a single board computer (SBC) based on a Size-S OSM module powered by an NXP i.MX 93 Cortex-M55/M33 AI SoC and offered in a business card form factor with support for Raspberry Pi HAT boards through a 40-pin GPIO header and mounting holes. The board also comes with 2GB LDDR4, 16GB eMMC flash, MIPI CSI and DSI interfaces for optional camera and display modules, two gigabit Ethernet ports, optional support for WiFi 6, Bluetooth 5.3, and 802.15.4, three USB 2.0 ports, and two CAN FD interfaces with on-board transceivers. MaaXBoard OSM93 specifications: SoC – NXP i.MX93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – 2D GPU with blending/composition, resize, color space conversion NPU – 1x Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Memory – 640 KB OCRAM w/ ECC Security – EdgeLock Secure Enclave System […]

Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse NVIDIA TAO Models

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]

Linux 6.8 release – Notable changes, Arm, RISC-V, and MIPS architectures

Linux 6.8 release

Linus Torvalds has just announced the release of Linux 6.8 on the Linux kernel mailing list: So it took a bit longer for the commit counts to come down this release than I tend to prefer, but a lot of that seemed to be about various selftest updates (networking in particular) rather than any actual real sign of problems. And the last two weeks have been pretty quiet, so I feel there’s no real reason to delay 6.8. We always have some straggling work, and we’ll end up having some of it pushed to stable rather than hold up the new code. Nothing worrisome enough to keep the regular release schedule from happening. As usual, the shortlog below is just for the last week since rc7, the overall changes in 6.8 are obviously much much bigger. This is not the historically big release that 6.7 was – we seem to […]

ADLINK MXA-200 5G IIoT gateway ships with Debian or Yocto Linux

ADLINK MXA-200 5G industrial gateway

ADLINK MXA-200 is an NXP i.MX8M Plus-based 5G IIoT gateway running Debian or a Yocto-based Linux distribution with two RS-232/422/485 isolated serial ports, two gigabit Ethernet ports, two USB 3.0 port, and an operating temperature range of -20 to 70°C. The fanless gateway also features two M.2 slots for integrating Wi-Fi and/or 4G LTE or 5G modules, and ADLINK expected the MXA-200 to find its way into renewable energy applications, EV chargers, smart city and smart factory applications that require big data collection, cloud-based applications, and video related monitoring solutions. ADLINK MXA-200 specifications: SoC – NXP i.MX8M Plus CPU – Quad-core Arm Cortex-A53 processor @ 1.6/1.8GHz MCU – Arm Cortex-M7 real-time core @ 400 MHz GPU – Vivante GC520L 2D GPU, Vivante GC7000UL 3D GPU VPU – 1080p60 hardware decoder (HEVC, H.264, VP9, and VP8) and encode (H.265/H.264) AI accelerator – 2.3 TOPS NPU System Memory – 2GB or 4GB […]

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