som News - Page 18 of 78 - CNX Software

October 17, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Zynq UltraScale+ SoM with up to 12GB RAM targets LiDAR applications

iWave Systems iW-RainboW-G30M is a system-on-module (SoM) based on AMD Xilinx Zynq UltraScale+ ZU4/ZU5/ZU7 FPGA MPSoC specially geared towards LiDAR applications for scientific and military applications. The module comes with up to 12GB of RAM, 4GB for the programmable logic (PL) and 8GB for the Arm Cortex-A53/R5-based Processing System (PS), two 240-pin high-density, high-speed connectors with 142 user I/Os, 16x GTH transceivers up to 16.3Gbps, and four GTR transceivers up to 6Gbps. iW-RainboW-G30M specifications: FPGA MPSoC – AMD Xilinx Zynq Ultrascale+ ZU4, ZU5, or ZU7 MPSoC with Processing System (PS) featuring 2x or 4x Arm Cortex-A53 core @ 1.5 GHz, two Cortex-R5 cores @ 600MHz, H.264/H.265 Video Encoder/Decoder (VCU), ARM Mali-400MP2 GPU @ 677MHz, and Programming Logic (PL)/FPGA with up to 504K Logic cells & 230K LUTs System Memory 4GB DDR4 64-bit RAM with ECC for PS (upgradeable up to 8GB) 2GB DDR4 16-bit RAM for PL (upgradeable up to […]

October 13, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Vecow launches NVIDIA Jetson AGX Orin-based EAC-5000 Series Edge AI computing system

Vecow EAC-5000 Jetson AGX Orin embedded computer

Vecow EAC-5000 is a rugged AI computing system powered by NVIDIA’s Jetson AGX Orin 32GB or 64GB system-on-module designed for advanced edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The embedded computer delivers up to 275 TOPS of AI performance thanks to the NVIDIA module, supports up to eight GMSL2 cameras, various wireless connectivity options with 6 antennas, 9V to 50V wide range DC power input, and operates in the -20°C to 70°C temperature range. Vecow EAC-5000 specifications: System-on-Module EAC-5000-R32 – NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz 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 @ up to 1.4 GHz Vision Accelerator – PVA v2.0 (Programmable […]

September 29, 2022September 29, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Geniatech unveils SMARC 2.1 compliant Rockchip RK3568 system-on-module

We’ve seen Rockchip RK3568 system-on-modules before, but the Geniatech SOM-3568-SMARC core board is the first to comply with the SMARC 2.1 standard with a 314-pin MXM connector exposing the many I/Os from the quad-core Cortex-A55 processor. The module comes with up to 8GB RAM, 128GB eMMC flash, integrates a WiFi and Bluetooth module as well as two Gigabit Ethernet transceivers, and is designed to be used in advanced NVRs, cloud terminals, industrial automation, IoT applications, digital signage, and more. Geniatech SOM-3568-SMARC specifications: SoC – Rockchip RK3568 quad-core Cortex-A55 processor @ 2.0 GHz with Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, 1 TOPS NPU for AI acceleration, 4Kp60 H.265/H.264/VP9 video decoding, and 1080p100 H.265/H.264 video encoding; 22nm process System Memory – 2GB, 4GB or 8GB DDR4 Storage – 32GB, 64GB, or 128GB eMMC 5.1 flash Networking 2x RTL8211F Gigabit Ethernet PHY WT6354 wireless module […]

September 21, 2022 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

$199+ NVIDIA Jetson Orin Nano system-on-module delivers up to 40 TOPS

NVIDIA Jetson Orin Nano system-on-module (SoM) is an update to the Jetson Nano entry-level Edge AI and robotics module that delivers up to 40 TOPS of AI performance, meaning it’s up to 80 times faster than the original module. The new SoM features an hexa-core Arm Cortex-A78AE processor, an up to 1024-core NVIDIA Ampere architecture GPU with 32 Tensor cores, up to 8GB RAM, and the same 260-pin SO-DIMM connector found in the Jetson Orin NX modules. Two versions are offered with the following specifications: That means the Jetson Orin family has now six modules ranging from 20 TOPS to 275 TOPS. There’s no specific development kit for the Jetson Orin Nano SoM since it can be emulated on the NVIDIA Jetson AGX Orin developer kit, and supported by the JetPack 5.0.2 SDK based on Ubuntu 20.04. NVIDIA has tested some dense INT8 and FP16 pre-trained models from NGC and […]

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 […]