som News - Page 44 of 78 - CNX Software

August 19, 2019August 19, 2019 by Jean-Luc Aufranc (CNXSoft) - 43 Comments

Allwinner R328 Smart Speaker & System-on-Module Spotted in China

Earlier this year, Allwinner introduced some AIoT (AI + IoT) processors including Allwinner R328 dual-core Cortex-A7 processor for “low-cost voice interaction solutions” aka low-cost smart speakers. I did not pay too much attention at the processor at the time, but since then, the company has released a product brief with some more details about the processor. We can see it integrates 64MB to 128MB DDR3 memory which should be enough to run Linux without external memory, and truly provide a low-cost solution for smart speakers, and I was told the chip may cost around $3. I was also asked whether Allwinner R328 smart speakers were already shipping. A Google search in English did not help, so I had to switch to Chinese, and after visiting several sites, I could see some Allwinner A328 platforms including a smart speaker and a system-on-module were showcased at some event in China. We’ve got […]

August 16, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Variscite VAR-SOM-6UL System-on-Module Supports NXP i.MX 6UltraLite, i.MX 6ULL, or i.MX 6ULZ ARM Cortex-A7 Processor

Variscite has just announced the launch of the VAR-SOM-6UL System-on-Module (SoM) powered by a choice of NXP’s i.MX 6UltraLite / 6ULL / 6ULZ Arm Cortex-A7 processor clocked at up to 900MHz CPU clock and based on the company earlier DART-6UL module while integrating an additional LVDS bridge option, all packed in SO-DIMM200 form factor to fit the VAR-SOM Pin2Pin family. The module is optimized for power, size, and cost, and supports dual Ethernet, dual USB, audio, CAN Bus, camera, optional single or dual-band WiFi, Bluetooth BLE, Touch, ADC, PWM, as well as support for industrial temperature grades with -40 to 85°C range. Variscite VAR-SOM-6UL specifications & key features: SoC – NXP i.MX 6UltraLite / 6ULL / 6ULZ ARM Cortex-A7 with optional security features up to 900MHz CPU Clock with 2D Pixel acceleration engine System Memory – Up to 1024 MB DDR3L Storage – 512 MB NAND / 64 GB eMMC […]

August 5, 2019August 5, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Pine64 SoEdge-RK1808 AI Module Delivers 3.0 TOPS via Rockchip RK1808 SoC

SOPINE Model A Baseboard + SoEdge-RK1808

A few weeks ago, Ameridroid reported Pine64 would soon launch SoRock and SoEdge systems-on-module, but at the time there was virtually no info except SoRock would be likely based on either RK3328 or RK3399 and work on the existing Clusterboard, while SoEdge would be an AI Neural module for Artificial Intelligence tasks, with up to 3 TeraFLOPS of performance. I did not write about it at the time, simply because there was so little information, but this morning I’ve just received some photos of SoEdge-RK1808 module fitted to a baseboard that looks to be SOPINE Model “A” carrier board. SoEdge-RK1808 SoM Let’s try to derive the specifications from the photos even though some components appear to be blurred out or just unclear: SoC – Rockchip RK1808 dual-core Cortex-A35 processor with 3.0 TOPS NPU (Neural Processing Unit) System Memory – 2GB RAM (2x 8GBit Micro DDR4-2400) but limited PC-2133 Storage – […]

July 26, 2019 by Stephen Vicinanza - 2 Comments

LyRa is a Raspberry Pi CM3L based Handheld Game Console (Crowdfunding)

The LyRa handheld game console is the first of its kind to carry a Raspberry Pi CM3L module inside. We reported on the Raspberry Pi Compute Module 3 Light in early 2017, and its significant features and abilities. The LyRa is being developed by Creoqode who started their campaign on Kickstarter in July 2019. The campaign has already surpassed its funding goal, and it looks like the LyRa will become a reality. The LyRa comes in two versions 1. RTG – Ready-To-Go which is a completely assembled and ready to play handheld game console, computer and entertainment console. 2. DIY – Do-It-Yourself version comes in pieces that can be made into a fully functioning handheld game console in about 15 minutes. The unit features a Raspberry Pi CM3L module which is able to emulate literally hundreds of classic game consoles and games. The unit can attach through HDMI to a […]

July 18, 2019November 1, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MYIR Announces Xilinx Zynq UltraScale+ MPSoC SoM and Development Board

MYIR Technology has been selling Xilinx Zynq-7000 FPGA + Arm systems-on-module since 2016, but the Chinese company has now announced new modules based on the more powerful Xilinx Zynq Ultrascale+ MPSoC with Arm Cortex-A53 cores, Arm Cortex-R5 cores, and Ultrascale FPGA fabric, as well as a corresponding development board. MYC-CZU3EG Zynq UltraScale+ MPSoC CPU Module CPU module specifications: MPSoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC with quad-core Arm Cortex-A53 processor @ 1.2 GHz, dual-core Cortex-R5 processor @ 600 MHz, Arm Mali-400MP2 GPU, and 16nm FinFET+ FPGA fabric (154K logic cells, 7.6 Mb memory, 728 DSP slices) System Memory – 4GB DDR4 @ 2,400MHz Storage – 4GB eMMC Flash, 128MB QSPI Flash On-module chips Gigabit Ethernet PHY USB PHY Intel Power Module Clock Generator 2x Samtec 0.5mm pitch 160-pin high-speed headers bringing out Networking – Gigabit Ethernet USB – USB 2.0 interface 4x PS GTR transceivers along with […]

July 15, 2019 by Stephen Vicinanza - 1 Comment

NXP i.MX 7ULP Enters Mass-Production, EVK and Systems-on-Module Announced

Last year, we wrote about F&S Elektronik Systeme PicoCORE MX7 system-on-module (SoM) powered by NXP i.MX 7ULP processor manufactured with a 28nm FD-SOI process, and that was announced a year earlier. The official launch of the module was planned for Q3 2018, but there have been some delays as LinuxGizmos reports NXP has only started mass production of their i.MX7 ULP this June. With the official launch of i.MX 7ULP, the company also introduced the official i.MX 7ULP Evaluation Board (MCIMX7ULP-EVK) as showcased on Element14’s community and several other companies announced i.MX 7ULP systems-on-modules. Benefits of NXP i.MX 7ULP Processor The i.MX7 ULP family of processors is an extremely power-efficient series, that is utilizing lower power for more functions. The SoC is being touted as the most power-efficient processor that can be obtained that also houses a 3D GPU. Although like the i.MX7, the i.MX 7ULP combines both Cortex-A7 and […]

July 10, 2019February 16, 2020 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Inforce Introduces Snapdragon 660 & 845 Modules with On-Device AI

Inforce Computing has just launched two new pin-compatible system-on-modules, namely Inforce 6502 and Inforce 6701, powered by Qualcomm Snapdragon 660 & Snapdragon 845 SoC respectively. In their newsletter, the company claims those are their first modules with on-device AI capabilities with the Snapdragon 660 enabling “advanced visual computing, enhanced graphics and on-device machine learning capabilities”, while the more powerful Snapdragon 845 is better suited for “immersive multimedia experiences including optimized AI performance for a more responsive, power-efficient user- experience and capture of cinema-grade videos in UHD@60fps resolution. Inforce 6502 Snapdragon 660 SoM Specifications: SoC – Qualcomm Snapdragon 660 with 8-core Kryo 260 processor, Adreno 512 GPU, Qualcomm Hexagon 680 DSP with Hexagon Vector eXtensions (HVX) for Caffe2 and Tensorflow System Memory & Storage – 3GB LPDDR4, Dual-Channel + 32GB eMMC flash in single eMCP package Connectivity Bluetooth 5.0 + Wi-Fi 5 802.11ac 2×2 with MU-MIMO and Dual Band Simultaneous (DBS) […]

July 9, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Turing Pi Clusterboard Takes up to 7 Raspberry Pi Compute Modules

Turing Pi Raspberry Pi Compute-Module 3+ Cluster Board

We’ve already covered several cluster solutions based on Raspberry Pi boards such as Bitscope Blade with up to 40 Raspberry Pi boards, a 16 Raspberry Pi Zero cluster board prototype, Circumference “datacenter-in-a-box” with up to 32 Raspberry Pi 3 B+ boards. If you want something more compact, it makes sense to develop a platform with Raspberry Pi Compute Modules instead, and we’ve already published news about MiniNodes Raspberry Pi 3 CoM Carrier Board that supports up to to 5 Compute Modules 3/3+ last year. There’s now another option with Turing Pi Clusterboard support up to 7 Compute Modules for applications leveraging Kubernetes, Docker, Jupyter Notebook, machine learning (TensorFlow/Caffe), and serverless stack. Turing Pi specifications: 7x Sockets for Raspberry Pi Compute Module 3/3+ Storage – 7x microSD card slots Video Output – 1x HDMI port, MIPI DSI connector Audio – 1x 3.5mm audio jack Camera I/F – 2x MIPI CSI connectors […]