Author: Jean-Luc Aufranc (CNXSoft)

Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on Testing Cytron MAKERDISK M.2 NVMe SSDs on Raspberry Pi 5 with GEEKWORM X1001 and Waveshare M.2 PCIe HAT+

Testing Cytron MAKERDISK M.2 NVMe SSDs on Raspberry Pi 5 with GEEKWORM X1001 and Waveshare M.2 PCIe HAT+

MAKERDISK M.2 NVMe SSD Raspberry Pi 5 review

Cytron has sent us a few of their MAKERDISK NVMe SSDs preloaded with Raspberry Pi OS so that we can test them on a Raspberry Pi 5 SBC, either with a GEEKWORM X1001 or Waveshare M.2 PCIe HAT+ add-on boards both of which were also provided by the company. Ever since the first M.2 PCIe HATs for the Raspberry Pi 5 were released, we knew Raspberry Pi Limited was working on its own model, and based on some Twitter/X “rumors” (with photos) the launch of the official M.2 HAT+ should be just around the corner. So it’s the perfect timing to test some SSDs on the Raspberry Pi 5 even though I’ve yet to get the official HAT+ Cytron “MAKERDISK” package unboxing The Malaysian company sent me a kit with everything I needed to get started, minus the Raspberry Pi 5 I already owned. This includes 128GB or 256GB NVMe […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on PCIe 7.0 to support up to 512GB/s bidirectional transfer rates

PCIe 7.0 to support up to 512GB/s bidirectional transfer rates

PCIe 7.0 Speed 512GB/s

The PCI-SIG first unveiled the PCIe Express (PCIe) 7.0 specification at US DevCon in June 2022 with claims of bidirectional data rates of up to 512GB/s in x16 configuration, and the standard is now getting closer to the full release in 2025 with the release of the specification version 0.5. PCIe 7.0 increases data transfer speeds to 128 GT/s per pin doubling the 64 GT/s of PCIe 6.0 and quadrupling the 32 GT/s of PCIe 5.0, delivering up to 256 GB/s in each direction in x16 configuration, excluding encoding overhead. In other words, the total maximum bandwidth of a PCIe 7.0 x1 interface (32GB/s) would be equivalent to PCIe Gen3 x16 or PCIe Gen4 x8 as shown in the table below. PCIe 7.0 highlights: 128 GT/s raw bit rate and up to 512 GB/s bidirectionally via x16 configuration PAM4 (Pulse Amplitude Modulation with 4 levels) signaling Doubles the bus frequency […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Kamvas Pro 16 (2.5K) review – A 15.8-inch drawing tablet and stylus with 8192 levels of pressure sensitivity

Kamvas Pro 16 (2.5K) review – A 15.8-inch drawing tablet and stylus with 8192 levels of pressure sensitivity

HUION Kamvas Pro 16 2.5K drawing tablet review

HUION Kamvas Pro 16 (2.5K) is a 15.8-inch drawing tablet with 2.5K resolution that comes with a stylus supporting 8192 levels of pressure. The company sent us a review sample, so I’ll test it as an external display in Windows 11 and Ubuntu 22.04, and check the drawing functions of the Kamvas Pro 16 with the stylus as well as other potential use cases. Kamvas Pro 16 (2.5K) specifications (model GT1602) But before that, let’s list the specifications of the display: Panel – 15.8-inch (diagonal) IPS display at 60 Hz Resolution – 2560 x 1440 (16:9) QHD PPI (Pixels Per Inch) – 186 Active Area – 349.6 x 196.7 mm Contrast Ratio – 1200:1 Brightness – 220nit (Max.) Response Time – 14ms Viewing Angle – 178° (89°/89°(H)/89°/89°(V) (Typ.)(CR＞10)) Color Gamut Volume – 145% sRGB Color Gamut Coverage – 99% sRGB / 99% Adobe RGB Colors – 16.7M (8-bit) Surface Finish […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Toradex Aquila AM69 SoM features TI AM69A octa-core Cortex-A72 AI SoC, rugged 400 pin board-to-board connector

Toradex Aquila AM69 SoM features TI AM69A octa-core Cortex-A72 AI SoC, rugged 400 pin board-to-board connector

Toradex Aquila AM69

Toradex Aquila AM69 is the first system-on-module (SoM) from the company’s Aquila family with a small form factor and a rugged ~400-pin board-to-board connector targetting demanding edge AI applications in medical, industrial, and robotics fields with Arm platforms that deliver x86 level of performance at low power. The Aquila AM69 SoM is powered by a Texas Instruments AM69A octa-core Arm Cortex-A72 SoC with four accelerators delivering 32 TOPS of AI performance, up to 32GB LPDDR4, 128GB eMMC flash, built-in WiFi 6E and Bluetooth 5.3 module, and a board-to-board connector for display, camera, and audio interfaces, as well as dual gigabit Ethernet, multiple PCIe Gen3 and SerDes interfaces. All that in a form factor that’s only slightly bigger (86x60mm) than a business card or a Raspberry Pi 5. Toradex Aquila AM69 specifications: SoC  – Texas Instruments AM69A Application processor – Up to 8x Arm Cortex-A72 cores at up to 2.0 GHz […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on Google’s Jpegli open-source library can compress high quality images 359 more than traditional JPEG codecs

Google’s Jpegli open-source library can compress high quality images 35% more than traditional JPEG codecs

Jpegli ELO score vs other JPEG libraries

Google has released the Jpegli open-source library for advanced JPEG coding that maintains backward compatibility while delivering an up to 35% compression ratio improvement at high-quality compression settings. Google Research has been working on improving the compression of data (Brotli), audio (e.g. Lyra V2), and images with a project such as WebP for many years in order to speed up the web and make it consume less bandwidth for dollar savings and lower carbon emissions.  Jpegli is their latest project and aims to improve the compression ratio of legacy JPEG files on systems were modern compression such as WebP may not be available or desirable. Jpegli highlights: Support both an encoder and decoder complying with the original JPEG standard (8-bit) and offering API/ABI compatibility with libjpeg-turbo and MozJPEG. Focus on high-quality results with up to 35% better compression ratio. Just as fast as libjpeg-turbo and MozJPEG. Support for 10+ bits […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on AMD Ryzen Embedded 8000 Series processors target industrial AI with 16 TOPS NPU

AMD Ryzen Embedded 8000 Series processors target industrial AI with 16 TOPS NPU

AMD Ryzen Embedded 8000

AMD has recently “announced” the Ryzen Embedded 8000 Series processors in a community post with the latest AMD embedded devices combining a 16 TOPS NPU based on the AMD XDNA architecture with CPU and GPU elements for a total of 39 TOPS designed for industrial artificial intelligence. The Ryzen Embedded 8000 CPUs will be found in machine vision, robotics, and industrial automation applications to enhance the quality control and inspection processes, enable real-time, route-planning decisions on-device for minimal latency, and predictive maintenance, and autonomous control of industrial processes. AMD Ryzen Embedded 8000 key features and shared specifications: CPU – Up to 8 “Zen 4” cores, 16 threads Cache L1 Instruction Cache – 32 KB, L1 Data Cache = 32 KB (per core) L2 Cache – Up to 8 MB (total) L3 Cache-  Up to 16 MB unified Graphics – RDNA 3 graphics with up to 6 WGPs (Work Group processors) […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on Hailo-10 M.2 Key-M module brings Generative AI to the edge with up to 40 TOPS of performance

Hailo-10 M.2 Key-M module brings Generative AI to the edge with up to 40 TOPS of performance

Hailo-10 M.2 module generative AI for the edge

Hailo-10 is a new M.2 Key-M module that brings Generative AI  capabilities to the edge with up to 40 TOPS of performance at low power. It targets AI PCs supporting only the Windows 11 operating system on x86 or Aarch64 targets at this time. Hailo claims the Hailo-10 is faster and more energy efficient than integrated neural processing unit (NPU) solutions found in Intel SoCs and delivers at least twice the performance at half the power of Intel’s Core Ultra “AI Boost” NPU. Hailo-10 module specifications: AI accelerator – Hailo-10H System Memory – 8GB LPDDR4 on module Host interface – 4-lane PCIe Gen 3 Power consumption – Less than 3.5W (typical) for the chip Form factor – M.2 Key M 2242 / 2280 Supported AI frameworks – TensorFlow, TensorFlow Lite, Keras, PyTorch & ONNX The Hailo-10 can run Llama2-7B with up to 10 tokens per second (TPS) at under 5W […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on The Arduino PLC Starter Kit aims to teach programmable logic control to high school and university students

The Arduino PLC Starter Kit aims to teach programmable logic control to high school and university students

Arduino PLC Starter Kit

Arduino PLC Starter Kit combines the Arduino Opta micro PLC, the Arduino DIN Simul8 digital input simulator and power distribution board, and the Arduino DIN Celsius board with two independent heater circuits and one temperature sensor acting as a temperature laboratory. The kit is supported by the Arduino PLC IDE first introduced in 2022 and comes with various cables and a power supply that allows users to quickly get started. Arduino says the kit targets the education of students aged 17 years and more. It includes 20 hours of lessons going through the history of programmable logic controllers, Modbus RS-485 communications, and how PLCs integrate with industrial simulated systems. The main hardware and software components of the kits are: Arduino Opta WiFi micro PLC based on an STMicro STM32H747XI dual-core Arm Cortex-M7/M4 MCU, offering Ethernet and RS485 communication interfaces, and exposing eight digital/analog inputs, plus four relay outputs. DIN Rail-mountable […]

Exit mobile version
EmbeddedTS embedded systems design