PCIe adapter adds four USB 3.2 ports to Raspberry Pi CM4 IO board

Raspberry Pi CM4 IO Boards USB 3.2 ports

Waveshare has introduced a non-standard PCIe adapter that adds four USB 3.2 ports to the Raspberry Pi Compute Module 4 IO carrier board in a way that does not take too much height. It’s non-standard as it can not be inserted directly into a typical computer PCIe slot, and Waveshare recommends a PCIe extension cable to connect it to a motherboard. Having said that It looks much better on the IO board. Waveshare USB PCIe adapter features: PCIe host interface 4x USB 3.2 Gen1 ports, USB 3.0 / 2.0 / 1.1 compatible Onboard VIA Labs VL805 chip as found on Raspberry Pi 4 SBC Power supply – 12V via PCIe connector or 4-pin header Designed for Raspberry Pi Compute Module 4 IO Board Dimensions – 82×39 mm   Since it’s basically using the same design as Raspberry Pi 4 providing USB ports through the same VL805 PCIe chip, there’s no […]

NVIDIA Jetson Nano/Xavier NX carrier board offers 5 SATA, 6 CSI camera, dual GbE, and more

Leetop A205 Jetson Nano/Xavier NX carrier board

Leetop has introduced two carrier boards for NVIDIA Jetson Nano or Xavier NX modules, with Leetop A205 a full-featured carrier board offering five SATA ports, six MIPI CSI camera interfaces, an M.2 Key E slot, dual Gigabit Ethernet, four USB 3.0 ports, dual HDMI output and more, as well as the more compact Leetop A203 about the size of the modules themselves and offering Gigabit Ethernet, HDMI output, USB 3.0/2.0 ports, a camera interface, and an M.2 slot for optional WiFi and Bluetooth connectivity. We’ll focus on the former in this article, as it offers more features, and the smaller board provides less functionality than the NVIDIA Jetson Nano developer kit at a much higher price, although I understand it can still be useful for space-constrained applications. Leetop A205 specifications: Supported SoMs –  NVIDIA Jetson Nano and Jetson Xavier NX Module Compatibility Storage – 5x SATA ports, MicroSD card slot […]

SMARC Modules With NXP i.MX 8M Plus Processor (Sponsored)

congatec smarc NXP i.MX8M Plus

Low-power flagship for artificial intelligence – congatec is expanding its SMARC platform with a new module with an NXP i.MX 8M Plus processor especially for embedded AI applications. Thanks to the extensive ecosystem with an application-ready 3.5-inch carrier board, Basler cameras, and AI software stack, fast proof of concept is possible. That hasn’t always been so easy. Previously, it was usually much more difficult to use the latest processor technology from the Arm environment as a finished system than to implement the x86 environment. This is because, as a result of the historically large range of individually tailored custom designs used in large quantities, the ecosystem of system platforms is not that extensive. However, with the modular approach based on the SMARC computer-on-modules specification, it is now also possible to obtain standard form factors from the x86 box PC range with ARM processors. For example, the embedded computing specialist congatec […]

ClusBerry Rack houses up to four hot-swappable Raspberry Pi CM4 modules

Clusberry Rack

TECHBASE ClusBerry Rack supports up to four Raspberry Pi CM4 based modules which can be added and removed on the fly thanks to a lockable mechanism that reminds me of hot-swappable drives found in NAS. Using the same ClusBerry I/O mainboards as found in the earlier ClusBerry 9500-CM4 and ClusBerry-2M industrial systems, each Raspberry Pi Compute Module 4 inside the ClusBerry Rack offer one Gigabit Ethernet port, one USB host, one micro USB service port, and an RS-232/485 serial port. TECHBASE is not the best company when it comes to describing its products, possibly because those are customizable, and in this case, they don’t show the other side of the enclosure with all ports… But based on the PDF we’ve received, you should be able to create a system with four modules offering the following features each: Optional video output – HDMI Networking – 1x Gigabit Ethernet port (option for […]

Feature-packed i.MX 8M Plus SBC offers dual GbE, PCIe, RS485, CAN Bus, 4G & 5G modems, and more

OKMX8MP-C i.MX 8M Plus SBC

We’ve already covered plenty of NXP i.MX 8M Plus systems-on-module and carrier boards, but here’s another solution with Forlinx OKMX8MP-C SBC single board computer based on FETMX8MP-C SoM with 4GB LPDDR4 and 16GB eMMC flash. The feature-packed board also offers dual Gigabit Ethernet, 4G and 5G cellular connectivity support via mPCIe and M.2 sockets, multiple display and camera interfaces, RS485 and CAN Bus connector, USB interfaces, various expansion headers, and more… Forlinx OKMX8MP-C specifications: Forlinx FETMX8MP-C System-on-Module SoC – NXP i.MX8M Plus with quad-core Cortex-A53 processor @ up to 1.6 GHz, Arm Cortex-M7 real-time core, Vivante 2D/3D GPUs, 1080p60 video decoder/encoder, 2.3 TOPS AI accelerator System Memory –  2GB, 4GB (default), 6GB, or 8GB LPDDR4 Storage – 16GB eMMC flash Ultra-thin board-to-board connector (4x 80-pin connector with 0.5mm pitch) Supply Voltage – 5V Temperature Range – -40°C to +85°C Dimensions – 62 x 36 mm (8-layer ENIG PCB) Storage – […]

Turing Pi V2 mini-ITX cluster board takes four Raspberry Pi CM4 or NVIDIA Jetson SoMs

Turing Pi v2 mini-ITX cluster board

The Turing Pi V2 is a mini-ITX cluster board that builds on the  Turing Pi mini-ITX cluster board taking up to 7 Raspberry Pi Compute Modules introduced in 2019, but instead supports up to four Raspberry Pi CM4 (Compute Modules 4) or NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules. The Turing Pi 2 board is equipped with two Mini PCIe sockets, two Gigabit Ethernet ports, two SATA III ports, four USB 3.0 ports, a 40-pin GPIO header, and a 24-pin ATX connector for power. Since board-to-board connectors – as found in Raspberry Pi Computer Module 4 – are not ideal for density, the company went with a design including 260-pin SO-DIMM connectors plus CM4 adapter boards, a design that allows them to also integrate other SoMs like the NVIDIA Jetson SO-DIMM modules. Turing Pi V2 specifications: SoM interface – 4x 260-pin SO-DIMM slot for up to four Raspberry Pi CM4 […]

SolidRun LX2162A SOM packs 16 Cortex-A72 cores, 32GB DDR4 onto a 58x48mm module

LX2162A SOM

SolidRun LX2162A SOM is a compact (58x48mm) system-on-module based on NXP LX2162A 16-core Cortex-A72 networking processor and equipped with up to 32GB DDR4 RAM that’s 25% of the size of the company’s earlier COM Express Type 7 computer-on-module based on NXP LX2160A 16-core Arm Cortex A72 communication processor and found in ClearFog CX LX2K networking board. The much smaller size has been made possible by replacing the SO-DIMM sockets with soldered RAM, and switching from LX2160A to LX2162A SoC with similar features, but offered in a 23x23mm package that is nearly one quarter the size thanks to a reduction of the number of SerDes and PCIe interfaces, and manufacturing with a 16nm FinFET process technology. LX2162A SOM specifications: SoC – NXP Layerscape LX2162A communication processor with 16x Cortex A72 cores clocked at up to 2.0 GHz (option for the 12-core LX2122A, or 8-core LX2182A) Memory – Up to 32GB DDR4 […]

Qualcomm QRB5165 system-on-module is made for robotics applications

Open-Q 5165RB SOM

Lantronix Open-Q 5165RB is a tiny System-on-Module (SoM) based on the same Qualcomm QRB5165 octa-core IoT processor we’ve just seen in Qualcomm Flight RB5 5G Platform high-end drone reference design. The ultra-compact (50x29mm) module comes with 8GB LPDDR5, 128GB UFS flash, multiple MIPI camera and display ports, WiFi 6 and Bluetooth 5.1, and various I/Os. Lantronix Open-Q 5165RB module specifications: SoC – Qualcomm QRB5165 SoC built on 7nm technology with Octa-core CPU with 1x Kryo Gold prime @ 2.84 GHz, 3x Kryo Gold @ 2.42 GHz, 4x Kryo Silver @ 1.81 GHz Hexagon 698 DSP with quad Hexagon Vector eXtensions Adreno™ 650 GPU @ up to  587 MHz Spectra 480 Image Signal Processor Adreno 665 Video Processing unit  – Decode up to 4K240/8K60, Encode up to 4K120/8K30, Concurrent 4K60 decode & 4K30 encode for wireless display NPU230 Neural Processing unit SPU240 Secure Processing unit Up to 15 TOPS of combined […]