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Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on NXP i.MX 95 SMARC 2.1 system-on-modules – ADLINK LEC-IMX95 and iWave iW-RainboW-G61M

NXP i.MX 95 SMARC 2.1 system-on-modules – ADLINK LEC-IMX95 and iWave iW-RainboW-G61M

SMARC 2.1 development board NXP i.MX95

Several companies have unveiled SMARC 2.1 compliant system-on-modules powered by the NXP i.MX 95 AI SoC, and today we’ll look at the ADLINK LEC-IMX95 and iWave Systems iW-RainboW-G61M and related development/evaluation kits. The NXP i.MX 95 SoC was first unveiled at CES 2023 with up to six Cortex-A55 application cores, a Cortex-M33 real-time core, and a low-power Cortex-M7 core, as well as an eIQ Neutron NPU for machine learning applications. Since then a few companies have unveiled evaluation kits and system-on-modules such as the Toradex Titan evaluation kit or the Variscite DART-MX95 SoM, but none of those were compliant with a SoM standard, but at least two SMARC 2.1 system-on-modules equipped with the NXP i.MX 95 processor have been introduced. ADLINK LEC-IMX95 Specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 application cores clocked at 2.0 GHz with 32K I-cache and D-cache, 64KB L2 cache, and 512KB […]

Posted on by Tomisin Olujinmi - 3 Comments on New NXP i.MX 93-based system-on-modules launched by MYiR, Variscite, and Compulab

New NXP i.MX 93-based system-on-modules launched by MYiR, Variscite, and Compulab

MYIR MYD-LMX9X development board

We have covered announcements about early NXP i.MX 93-based system-on-modules such as the ADLINK OSM-IMX93 and Ka-Ro Electronics’ QS93, as well as products integrating the higher-end NXP i.MX 95 processor such as the Toradex Titan Evaluation kit. Three additional NXP i.MX 93 SoMs from Variscite, Dart, and Compulab are now available. Targeted at industrial, IoT, and automotive applications, the NXP i.MX 93 features a 64-bit dual-core Arm Cortex-A55 application processor running at up to 1.7GHz and a Cortex-M33 co-processor running at up to 250MHz. It integrates an Arm Ethos-U65 microNPU, providing up to 0.5TOPS of computing power, and supports EdgeLock secure enclave, NXP’s hardware-based security subsystem. The heterogeneous multicore processing architecture allows the device to run Linux on the main core and a real-time operating system on the Cortex-M33 core. The processor is designed for cost-effective and energy-efficient machine learning applications. It supports LVDS, MIPI-DS, and parallel RGB display protocols […]

Posted on by Sponsored Post - 2 Comments on Save up to $75 on Rockchip RK3588-powered Mixtile Blade 3 SBC and Core 3588E module (Sponsored)

Save up to $75 on Rockchip RK3588-powered Mixtile Blade 3 SBC and Core 3588E module (Sponsored)

Mixtile Blade 3 SBC discount

Mixile has launched a promotion that could save you up to $75 on the company’s Rockchip RK3588-powered devices, namely the Mixtile Blade 3 SBC that can be used standalone or integrated into a cluster and Core 3588E SO-DIMM system-on-module that follows the NVIDIA Jetson Nano, TX2 NX, Xavier NX, and Orin Nano form factor and will work with most carrier boards designed for those. The first part of the “Lucky Offer” promotion is a $50 discount coupon code (cnx50off) applicable to the Mixtile Blade 3, Mixtile Blade 3 Case, and Mixtile Cluster Box. The Mixtile Blade 3 is a pico-ITX SBC powered by a Rockchip RK3588 octa-core Cortex-A76/A55 processor, with up to 32GB RAM, up to 256GB eMMC flash, three display interfaces, an HDMI input port, dual GbE, a 30-pin GPIO header, and a U.2 connector carrying 4-lane PCIe Gen3 and SATA 3.0 signals and specifically designed for cluster applications. […]

Posted on by Debashis Das - No Comments on Raspberry Pi CM4S module gets 2GB, 4GB, and 8GB RAM variants for commercial products

Raspberry Pi CM4S module gets 2GB, 4GB, and 8GB RAM variants for commercial products

Raspberry Pi Compute Module 4S with 2GB, 4GB, and 8GB variants

Raspberry Pi has announced three new versions of its Compute Module 4S (CM4S) offering 2GB, 4GB, and 8GB RAM options which is an upgrade from the 1GB variant introduced in 2022. These new modules feature the same Broadcom BCM2711 quad-core Cortex-A72 SoC used in Raspberry Pi 4 and Raspberry Pi CM4 and have a starting price of only $25. The main downside is that the modules can only be purchased in bulk (200-unit boxes) through Raspberry Pi Approved Resellers. Raspberry Pi Compute Module 4S (CM4S) specifications: SoC – Broadcom BCM2711 CPU – Quad-core 64-bit Cortex-A72 processor @ 1.5 GHz GPU – VideoCore VI GPU 3D Graphics: OpenGL ES 3.0 and Vulkan 1.1 Video H.265 (HEVC) (up to 4Kp60 decode) H.264 (up to 1080p60 decode, 1080p30 encode) Memory – 1GB, 2GB, 4GB, and 8GB LPDDR4-3200 SDRAM with ECC Storage – 8GB, 16GB, or 32GB eMMC flash; Option for 0GB eMMC Flash […]

Posted on by Tomisin Olujinmi - No Comments on Ronetix launches NXP i.MX93 SoMs in SMARC and OSM-L form factors

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 […]

Posted on by Debashis Das - 1 Comment on BIGTREETECH Pi 2 SBC and CB2 module for 3D printers now feature Rockchip RK3566 SoC with Gigabit Ethernet

BIGTREETECH Pi 2 SBC and CB2 module for 3D printers now feature Rockchip RK3566 SoC with Gigabit Ethernet

BIGTREETECH Pi 2 and the BIGTREETECH CB2 Compute Modules

BIGTREETECH recently announced the release of the BIGTREETECH Pi 2 SBC and BIGTREETECH CB2 SoM, both powered by the Rockchip RK3566 SoC. These new modules are direct upgrades from the BIGTREETECH Pi v1.2 and BIGTREETECH CB1, which we covered and reviewed in our previous posts. Specially designed for 3D printers, these new modules have a similar form factor to that of a Raspberry Pi and the RPI CM4 module, and come with a set of upgraded features including support for GbE Ethernet, dual-band WiFi, up to 32GB of LPDDR4 RAM, eMMC storage, HDMI, USB, and more. BIGTREETECH Pi 2 Specifications SoC – Rockchip RK3566 CPU – Quad-core Arm Cortex-A55 processor @ 1.8 GHz GPU – Arm Mali G52-2EE GPU with support for OpenGL ES 1.1/2.0/3.2, Vulkan 1.1, OpenCL 2.0 NPU – 0.8 TOPS AI accelerator VPU – 4Kp60 H.265/H.264/VP9 video decoding, 1080p100f H.265/H.264 video encoding System Memory – 2GB LPDDR4 (Customizable – 1GB/2GB/4GB/8GB) […]

Posted on by Debashis Das - 6 Comments on 8devices TobuFi SoM is designed for drones, robotics, and advanced audio systems

8devices TobuFi SoM is designed for drones, robotics, and advanced audio systems

8devices TobuFi SoM

8devices has recently introduced TobuFi, a Qualcomm QCS405-powered System-on-Module (SoM) featuring dual-band Wi-Fi 6 and Wi-Fi 5 capabilities. The device also features 1GB LPDDR3, 8GB of eMMC storage, and multiple display resolutions. It also offers various interfaces, including USB 3.0, HDMI, I2S, DMIC, SDC, UART, SPI, I2C, and GPIO. In previous posts, we covered 8devices product launches like the Noni M.2 WiFi 7 module, Rambutan and Rambutan-I modules, Habanero IPQ4019 SoM, Mango-DVK OpenWrt Devkit, and many more innovative products. If you’re interested in 8devices, feel free to check those out for more details. 8devices TobuFi SoM specifications: SoC – Qualcomm QCS405 CPU – Quad-core Arm Cortex-A53 at 1.4GHz; 64-bit GPU – Qualcomm Adreno 306 GPU at 600MHz; supports 64-bit addressing DSP – Qualcomm Hexagon QDSP6 v66 with Low Power Island and Voice accelerators Memory – 1GB LPDDR3 + 8GB eMMC Storage 8GB eMMC flash SD card – One 8-bit (SDC1, 1.8V) and one […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on LattePanda Mu is an x86 Compute Module based on Intel Processor N100 CPU

LattePanda Mu is an x86 Compute Module based on Intel Processor N100 CPU

LattePanda Mu x86 Compute Module N100

The LattePanda Mu is a compute module/system-on-module based on the popular Intel Processor N100 quad-core Alder Lake-N processor that can run Windows or Linux and aims to provide a more powerful solution than the Raspberry Pi 5 and upcoming Raspberry Pi CM5 (Compute Module 5). The LattePanda Mu does not follow any SoM standard and instead comes in a custom 69.6 x 60mm form factor using a 260-pin SO-DIMM edge connector. The module is equipped with 8GB RAM and 64GB eMMC flash by default, and the interfaces exposed through the edge connector (PCIe, USB, Ethernet, HDMI…) make it suitable for a range of applications such as IoT, robotics, digital signage, and edge computing through custom carrier boards. LattePanda Mu specifications: SoC – Intel Processor N100 quad-core Alder Lake-N processor @ up to 3.4 GHz (Turbo) with 6MB cache, 24EU Intel HD graphics @ 750 MHz; TDP: 6W System Memory – […]

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