som News - Page 19 of 78 - CNX Software

September 19, 2022May 29, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Ochin Raspberry Pi CM4 carrier board is made for drones and robots

Ochin Raspberry Pi 4 carrier board for robots drones

There are plenty of carrier boards for Raspberry Pi CM4, but the Ochin looks a bit different, as it is specifically designed for drones and robots, and the compact carrier board exposes most interfaces through low-profile GHS connectors instead of standard ports or headers. About the size of the Raspberry Pi CM4 itself, the board also comes with a USB Type-C port to flash the eMMC flash, two MIPI CSI connectors, and four USB 2.0 GHS connectors to add cameras to your robotics projects, and supports LiPo batteries. Ochin specifications: Supported modules – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (the CM4 Lite is not supported since there’s no microSD card on the board), 4Kp60 H.265 decode, 1080p30 H.264 encode, and optional WiFI 5 and Bluetooth 5.0 USB – 1x USB 2.0 Type-C port Camera I/F – 1x 4-lane […]

September 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

ModBerry 500 R1 industrial computer replaces Raspberry Pi CM4 with Radxa CM3 module

The ModBerry 500 R1 industrial computer features a Radxa CM3 system-on-module that follows the Raspberry Pi CM4 form factor, but is powered by a Rockchip RK3566 quad-core Cortex-A55 processor instead. The ModBerry 500 CM4 DIN-rail industrial computer with a Raspberry Pi Compute Module 4 was launched in 2020, but the Raspberry Pi shortage got in the way, even for commercial customers, and Poland-based TECHBASE had to find an alternative to Raspberry Pi CM4 to offer shorter lead times to its customers, and so the ModBerry 500 R1 based on Radxa CM3 system-on-module was born. ModBerry 500 R1 specifications: SoM – Radxa CM3 module with Rockchip RK3566 quad-core Cortex-A55 processor @ up to 2.0 GHz, with 1 to 8GB LPDDR4 RAM, up to 4 to 128GB eMMC flash (up to 250 MB/s), optional Wi-Fi 5 & Bluetooth 5.0 module Storage – Optional NVMe SSD via PCIe 2.0 (mini PCIe (default) or […]

September 8, 2022September 12, 2022 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Radxa CM5 – A Rockchip RK3588S module (somewhat) compatible with Raspberry Pi CM4

Radxa has been working on the ROCK 5 Compute Module (aka Radxa CM5) system-on-module compatible with Raspberry Pi CM4, but based on the more powerful Rockchip RK3588S octa-core Cortex-A76/A55 SoC. Just like the Raspberry Pi Compute Module 4, it comes in a 55 x 40mm form factor, but instead of just two high-density 100-pin board-to-board connectors, the module includes three to cater for the additional I/Os from the Rockchip processor, just like they did for the Radxa CM3 equipped with a Rockchip RK3566 processor. Radxa CM5 specifications: SoC – Rockchip RK3588S octa-core processor with 4x Cortex‑A76 cores @ up to 2.4GHz, 4x Cortex‑A55 core @ 1.8GHz Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – 8Kp30 H.265/H.264 video encoder 6 TOPS NPU System Memory – 4GB, 8GB, or 16GB LPDDR4x‑4224 SDRAM Storage – Optional 8GB, […]

August 24, 2022 by Jean-Luc Aufranc (CNXSoft) - 18 Comments

DeskPi Super6C mini-ITX board takes up to 6x Raspberry Pi CM4 modules

Mini-ITX cluster board 6x Raspberry Pi CM4

You may remember the Turing Pi 2 mini-ITX cluster board that supports up to four Raspberry Pi CM4 modules. It now has some competition with the DeskPi Super6C board, still based on the mini-ITX form factor, and taking up to six Raspberry Pi CM4 modules. The Super6C offers a much slimmer design since the modules are inserted horizontally instead of vertically, plus each module comes with its own M.2 NVMe SSD socket besides a microSD card slot. The board also features two Gigabit Ethernet ports and two HDMI outputs, as well as four USB 2.0 ports. DeskPi Super6C specifications: SoM – 6x sockets for up Raspberry Pi Compute Module 4 Storage 6x M.2 PCIe Gen2 x1 2280 sockets, one per CM4 module 6x MicroSD card slots, one per CM4 module Video Output – 1x HDMI 2.0 output, 1x HDMI 1.4a output, both attached to the first Raspberry Pi CM4 module […]

August 20, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Raspberry Pi Zero 2 W board gets Raspberry Pi CM3 adapter

A couple of months ago, we wrote about the Raspberry Pi Compute Module 3E (CM3E) equipped with the Raspberry Pi RP3A0 SiP found in the Raspberry Pi Zero 2 W board. It looks like an OEM product from Raspberry Pi trading, and as such is close to impossible to purchase. But if somehow, you’d like to have the guts of the Pi Zero 2 W into CM3 module form factor, Waveshare has designed the Zero-to-CM3 adapter for the Raspberry Pi Zero 2 W that should be compatible with most carrier boards designed for Raspberry Pi CM3 or CM3+. As you can see, it is also using pogo pins to connect to the test points on the Raspberry Pi Zero 2 W board in order to route the USB, USB OTG, and SD card signals, so it will not work on older Pi Zero boards since the test points are in […]

August 16, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

NVIDIA Jetpack 5.0.2 release supports Ubuntu 20.04, Jetson AGX Orin

The NVIDIA Jetpack 5.0.2 production release is out with Ubuntu 20.04, the Jetson Linux 35.1 BSP 1 with Linux Kernel 5.10, an UEFI-based bootloader, support for Jetson AGX Orin module and developer kit, as new as updated packages such as CUDA 11.4, TensorRT 8.4.1, cuDNN 8.4.1. NVIDIA Jetson modules and developer kits are nice little pieces of hardware for AI workloads, but the associated NVIDIA Jetpack SDK was based on the older Ubuntu 18.04 which was not suitable for some projects. But the good news is that Ubuntu 20.04 was being worked on and initially available through the Jetpack 5.0.0/5.0.1 developer previews, and NVIDIA Jetpack 5.0.2 SDK is the first production release with support for Ubuntu 20.04. Besides the upgrade to Ubuntu 20.04, the Jetpack 5.0.2 SDK also adds support for both the Jetson AGX Orin Developer Kit and the newly-available Jetson AGX Orin 32 GB production module. It still […]

August 5, 2022August 5, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Renesas RZ/A3UL Cortex-A55 CPU runs RTOS for HMI with quick startup times

Renesas RZ/A3UL is a single-core Cortex-A55 processor clocked at up to 1 GHz designed to run FreeRTOS or Azure RTOS on high-definition (1280×800) HMI solutions requiring quick startup times such as industrial equipment, home appliances, office automation equipment, audio equipment, and POS terminals. The new RZ/A3UL processor family has the same peripheral functions and package pin assignments as the RZ/G2UL (Arm Cortex-A55/M33) and RZ/Five (RISC-V) families targeting Linux-based HMI applications. Renesas also designed a SMARC 2.1 compliant System-on-Module (SoM) based on the Renesas RZ/A3UL microprocessor to speed up time to market. Renesas RS/A3UL specifications: CPU – Single-core Arm Cortex-A55 processor @ up to 1.0 GHz with 32KB I-cache with parity, 32KB D-cache with ECC, 256KB L3 cache with ECC Internal Memory – 128KB SRAM with ECC Memory & Storage I/F 16-bit DDR4-1600 or DDR3L-1333 memory interfaces with in-line ECC; up to 4GB RAM Octal Peripheral Interface (OPI) for flash or […]

August 3, 2022October 13, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

NVIDIA Jetson AGX Orin 32GB production module is now available

NVIDIA Jetson AGX Orin 32GB production module is now in mass production and available after the 12-core Cortex-A78E system-on-module was first announced in November 2021, and the Jetson AGX Orin developer kit was launched last March for close to $2,000. Capable of up to 200 TOPS of AI inference performance, or up to 6 times faster than the Jetson AGX, the NVIDIA Jetson AGX Orin 32GB can be used for AI, IoT, embedded, and robotics deployments, and NVIDIA says nearly three dozen partners are offering commercially available products based on the new module. Here’s a reminder of NVIDIA Jetson AGX Orin 32GB specifications: CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator – PVA v2.0 (Programmable Vision […]