Lantronix has just unveiled two new System-in-Packages (SiP) with the entry-level Open-Q 2290CS SIP based on Qualcomm QCS2290 quad-core Cortex-A53 processor designed for industrial IoT applications and safety vehicle equipment control, and the pin-compatible, mid-range Open-Q 4290CS SIP based on Qualcomm QCS4290 octa-core Kryo 260 CPU for applications requiring artificial intelligence and machine learning capabilities. The Open-Q 2290CS module comes with 2GB LPDDR4, 16GB eMMC flash, WiFi 5 and Bluetooth 5.0 connectivity, while the Open-Q 4290CS module is equipped with up to 6GB LPDDR4, up to 256GB eMMC flash., and Wi-Fi 5 with some Wi-Fi 6 features (TWT & 8SS), and Bluetooth 5.1. Lantronix also offers the Open-Q AL2 development kit supporting either both SIP modules for evaluation and rapid prototyping. Open-Q 2290CS – Qualcomm QCS2290 SiP Specifications: SoC – Qualcomm QCS2290 quad-core Cortex-A53 processor at up to 2.0 GHz with Adreno 702 GPU at 845 MHz with support for […]
XGO 2 – A Raspberry Pi CM4 based robot dog with an arm (Crowdfunding)
XGO 2 is a desktop robot dog using the Raspberry Pi CM4 as its brain, the ESP32 as the motor controller for the four legs and an additional robotic arm that allows the quadruped robot to grab objects. An evolution of the XGO mini robot dog with a Kendryte K210 RISC-V AI processor, the XGO 2 robot offers 12 degrees of freedom and the more powerful Raspberry CM4 model enables faster AI edge computing applications, as well as features such as omnidirectional movement, six-dimensional posture control, posture stability, and multiple motion gaits. The XGO 2 robot dog is offered in two variants – the XGO-Lite 2 and the XGO-Mini 2 – with the following key features and specifications: The company also says the new robot can provide feedback on its own postures thanks to its 6-axis IMU and sensors for the joints reporting the position and electric current. A display […]
conga-HPC/cRLS Raptor Lake COM-HPC Client module supports up to 128GB DDR5 RAM
Congatec conga-HPC/cRLS is a COM-HPC Client Size C computer-on-module based on a 13th gen Intel Raptor Lake processor with support for up to 128GB DDR5 memory through four SO-DIMM sockets. The COM-HPC module also provides up to three DDI display interfaces, two 2.5GbE networking interfaces with TSN support, two SATA storage interfaces, and a range of PCIe Gen 3, 4, and 5 interfaces through the two 400-pin connectors defined in the COM-HPC standard. conga-HPC/cRLS specifications: Raptor Lake-S SoC (one or the other) Intel Core i3-13100E with 4x P-cores @ 3.3GHz / 4.4GHz, 12 MB cache, Intel UHD Graphics 730; PBP: 65W Intel Core i5-13400E with 6x P-cores @ 2.4GHz / 4.6GHz, 4x E-cores @ 1.5GHz / 3.3GHz, 20MB cache, Intel UHD Graphics 730; PBP: 65W Intel Core i7-13700E with 8x P-cores @ 1.9GHz / 5.1GHz, 8x E-cores @ 1.3GHz / 3.9GHz, 30MB cache, Intel UHD Graphics 770; PBP: 65W Intel […]
VAR-SOM-MX93 SO-DIMM NXP i.MX 93 SoM features WiFi, Bluetooth, Audio codec
Variscite VAR-SOM-MX93 is a 200-pin SO-DIMM system-on-module based on NXP i.MX 93 dual-core Cortex-A55/M33 AI processor with up to 2 GB LPDDR4 RAM, 64GB eMMC flash, and onboard WiFi & Bluetooth module and audio driver. The Variscite module follows the announcement of two other NXP i.MX 93 system-on-modules, namely the Forlinx FET-MX9352-C with board-to-board connectors and the iWave Systems iW-RainboW-G50M LGA module compliant with OSM Size L form factor to be soldered directly on the carrier board. VAR-SOM-MX93 specifications: SoC – NXP i.MX 93 with up to 2x Cortex-A55 cores @ 1.7GHz, 1x Cortex-M33 real-time co-processor @ 250 MHz, 0.5 TOPS NPU, 2D PxP graphics engine System Memory – 512MB to 2GB LPDDR4 Storage – 8 to 64GB eMMC flash, 4KB EEPROM Ethernet – ADIN1300 Gigabit Ethernet PHY Wireless module Single-band 802.11 b/g/n WiFi 4 or dual-band 802.11 ac/a/b/g/n WiFi 5 Bluetooth 5.2 classic + LE Audio – Unnamed Audio […]
reComputer J4012 mini PC features NVIDIA Jetson Orin NX for AI Edge applications
reComputer J4012 is a mini PC or “Edge AI computer” based on the new NVIDIA Jetson Orin NX, a cost-down version of the Jetson AGX Orin, delivering up to 100 TOPS modern AI performance. The mini PC is based on the Jetson Orin NX 16GB, comes with a 128GB M.2 SSD preloaded with the NVIDIA JetPack SDK and offers Gigabit Ethernet, four USB 3.2 ports, and HDMI 2.1 output. Wireless connectivity could be added through the system’s M.2 Key E socket. reComputer J4012 / J401 specifications: SoM – NVIDIA Jetson Orin NX 16GB with CPU – 8x Arm Cortex-A78AE core @ up to 2.0 GHz with 2MB L2 + 4MB L3 cache GPU/AI 1024-core NVIDIA Ampere GPU with 32 Tensor Cores @ up to 918 MHz 2x NVDLA v2.0 @ 614 MHz PVA v2 vision accelerator 100 TOPS AI performance (sparse) Video Encoder (H.265) 1x 4Kp60 | 3x 4Kp30 6x […]
MistySoM Renesas RZ/G2L or RZ/V2L SoM and devkit goes for $112 and up
We’ve previously written about several system-on-modules and SBCs based on Renesas RZ/G2L or RZ/V2L Cortex-A55/M33 processors such as Geniatech “AHAURA” RS-G2L100 and “AKITIO” RS-V2L100 single board computers, Forlinx FET-G2LD-C system-on-module, and SolidRun RZ/G2LC SOM and devkit. But most of those are hard to buy, and you need to contact the company, discuss your project, etc… before purchase, except for the SolidRun Renesas RZ/G2LC Evaluation Kit going for $249. Another option is the MistyWest MistySOM module offered for $112 and up on GroupGets with either Renesas RZ/G2L or RZ/V2L processor, as well as an optional carrier board. MistySOM system-on-module MistySOM-G2L (aka MW-G2L) and MistySOM-V2L (aka MW-V2L) specifications: SoC – Renesas RZ/G2L or RZ/V2L with dual-core Cortex-A55 processor @ 1.2 GHz, Arm Cortex-M33 core @ up to 200 MHz, Arm Mali-G31 GPU, and DRP-AI vision accelerator (RZ/V2L only) System Memory – 2GB LPDDR4/DDR4 Storage – 32GB eMMC flash 2x 120-pin high-speed mezzanine […]
Banana Pi BPI-CM4 Amlogic A311D system-on-module launched for $95
Banana Pi BPI-CM4 system-on-module powered by an Amlogic A311D hexa-core Cortex-A73/A53 processor and compatible with the Raspberry Pi CM4 module has now been launched for $95 and up. Banana Pi introduced the Raspberry Pi CM4 compatible module with Amlogic A311D CPU last May with some 3D renders and specifications, and we expected a launch in Q4 2022 or Q1 2023 at the time. The Banana Pi BPI-CM4 is now available together with a carrier board so let’s have another look. Banana Pi BPI-CM4 specifications: SoC – Amlogic A311D hexa-core processor with 4x Arm Cortex-A73 @ 2.0 GHz and 2x Arm Cortex-A53, Arm Mali-G52 MP4 (6EE) GPU, 5 TOPS NPU System Memory – 4GB LPDDR4 RAM Storage – 16GB eMMC flash (up to 128GB) Networking Realtek RTL8211F Gigabit Ethernet PHY on-module Dual-band WiFi 5 up to 867Mbps and Bluetooth 5.2 via Realtek RTL8822CS module and 2x u.FL antenna connectors 2x 100-pin […]
Forlinx FET-MX9352-C – An NXP i.MX 9352 system-on-module for industrial AIoT applications
Forlinx FET-MX9352-C is a system-on-module based on NXP i.MX 9352 dual Cortex-A55 processor with Cortex-M33 real-time core and a 0.5 TOPS AI accelerator that can be used for industrial control, IoT gateways, medical equipment, and various applications requiring machine learning acceleration. The FET-MX9352-C follows last week’s announcement of the iWave Systems iW-RainboW-G50M OSM module and SBC with a choice of NXP i.MX 93 processors. The Forlinx module comes with two board-to-board connectors instead of solderable pads and can be found in the OK-MX9352-C single board computer with dual GbE, various display and camera interfaces, RS485 and CAN Bus, etc… FET-MX9352-C i.MX 9352 system-on-module Specifications: SoC – NXP i.MX 9352 with 2x Arm Cortex-A55 cores @ up to 1.7GHz (commercial) or 1.5 GHz (industrial), Cortex-M33 real-time core @ 250 MHz, 0.5 TOPS Arm Ethos U65 microNPU System Memory – 1GB/2GB LPDDR4 RAM Storage – 8GB eMMC flash 2x high-density 100-pin board-to-board […]