conga-HPC/cRLS Raptor Lake COM-HPC Client module supports up to 128GB DDR5 RAM

Congatec conga HPC/cRLS COM HPC Client Size C Raptor Lake CPU

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

NXP i.MX 93 development board

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 J4021 mini PC

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

MistySOM devkit Renesas RZ/G2L or RZ/V2L

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 on Raspberry Pi CM4 IO board

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 System-on-Module

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 […]

Pico-ITX SBC features NXP i.MX 93 LGA system-on-module


iWave Sytems iW-RainboW-G50M is an NXP i.MX 93 OSM-L compliant LGA module with up to 2GB RAM, WiFi 5 and Bluetooth 5.2 module that is found in the company’s iW-RainboW-G50S Pico-ITX SBC designed for industrial applications. The NXP i.MX 93 single and dual-core Cortex-A55 processor with an Ethos U65 microNPU was announced in November 2021, but we had yet to see any hardware based on the new NXP i.MX 9 processor family. The iW-RainboW-G50M and iW-RainboW-G50S change that with a system-on-module and single board computer. iW-RainboW-G50M NXP i.MX 93 system-on-module Specifications: SoC (one or the other) NXP i.MX 9352 dual-core Cortex-A55 processor @ up to 1.7 GHz with Arm Cortex-M33 @ 250 MHz,  0.5 TOPS NPU NXP i.MX 9351 single-core Cortex-A55 processor @ up to 1.7 GHz with Arm Cortex-M33 @ 250 MHz, 0.5 TOPS NPU NXP i.MX 9332 dual-core Cortex-A55 processor @ up to 1.7 GHz Arm Cortex-M33 @ […]

Lichee Pi 4A RISC-V SBC takes on Raspberry Pi 4 with TH1520 processor

Lichee Pi 4A RISC V SBC

Lichee Pi 4A is a single board computer (SBC) powered by Alibaba T-Head TH1520 quad-core RISC-V Xuantie C910  processor @ 1.8 GHz with an Imagination GPU and a 4 TOPS NPU for AI that can compete against the Raspberry Pi 4 in terms of performance and features. We previously mentioned the Lichee Pi 4A (LPi4A) in our article about the Sipeed LM4A RISC-V system-on-module, but at the time we only had some benchmarks for the board and no photos and specifications about the SBC. Sipeed has now released photos and more detailed specifications and is taking “pre-orders”. So let’s have a look. Lichee Pi 4A specifications against the ones for Raspberry Pi 4.   The TH1520 used to be advertised at up to 2.5 GHz, but it seems to have now come down to 1.8 GHz. Software support will include Debian, OpenWrt, and Android in Q1 2023, and more operating […]

ASUS Tinker board - Raspberry Pi alternative