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September 4, 2023September 5, 2023 by Jean-Luc Aufranc (CNXSoft) - 16 Comments

Allwinner 2023-2024 roadmap reveals A736/A737 Arm Cortex-A78/A76 processors

Allwinner Roadmap 2023 2024 automotive industrial SoCs

Allwinner should launch new Cortex-A76/A55 and Cortex-A78/A55 processors in 2024 according to the company’s roadmap including the Allwinner A736/A737 for tablets and the T736/T737 designed for automotive and industrial applications. In recent years, we’ve seen Rockchip and Amlogic introduce more powerful processors with the Rockchip RK3588 octa-core Cortex-A76/A55 processor and Amlogic A311D2 octa-core Cortex-A73/A53 or the more recent Amlogic S928X Cortex-A76/A55 for 8K TV boxes. But we’re still seeing some recent boards based on Allwinner Cortex-A7 32-bit processors, although recently we covered the Allwinner A523 octa-core Cortex-A55 processor for tablets. So today, I decided to go on a quest to find out whether Allwinner plans to use 64-bit Arm “big” cores in their future design. I first ended up on the linux-sunxi website where they list the Allwinner T736 octa-core “sun60i” processor with two Cortex-A76 cores and six Cortex-A55 cores, but no other details. This leads me to some “notes” […]

September 1, 2023 by Jean-Luc Aufranc (CNXSoft) - 16 Comments

ZimaBlade – A $64+ low-profile Intel Celeron board for server applications and more (Crowdfunding)

ZimaBlade is an inexpensive low-profile board based on an Intel Celeron dual-core or quad-core processor and designed for server applications with a low-profile RJ45 Gigabit Ethernet port, two SATA connectors, and a PCIe slot, but not only as the board also comes with display interfaces such as mini DP and USB-C DisplayPort Alt. mode and a few USB ports. It’s not IceWhale Technology’s first venture into portable server board as the company previously introduced the Zimaboard based on Intel Celeron Apollo Lake processors with many of the same features back in 2021. The new ZimaBlade offers more interfaces as well as a complete enclosure instead of just a large heatsink. ZimaBlade specifications: SoC (one or the other) ZimaBlade 3760 – Intel Celeron dual-core processor up to 2.2 GHz (Turbo) with Intel UHD graphics; 6W TDP ZimaBlade 7700 – Intel Celeron quad-core processor up to 2.4 GHz (Turbo) with Intel UHD […]

August 30, 2023November 11, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Ugoos AM8 – A true 8K TV box powered by Amlogic S928X-J processor

Ugoos AM8 is a true 8K TV box based on Amlogic S928X-J penta-core Cortex-A76/A55 processor with Dolby Vision and Dolby Audio support that is now available for sale on Aliexpress. If you search for an 8K TV box on the web, you’ll find plenty of listings for 4K TV boxes incapable of 8K video output, but Ugoos AM8 is what I would call “a true 8K TV box” capable of both video playback and output up to 8Kp60 thanks to the Amlogic S928X processor which we previously found announced in IPTV/OTT devices for operators from SDMC and SEI Robotics, as well as more recently in an 8K TV box board. Ugoos AM8 (preliminary) specifications: SoC – Amlogic S928X-J CPU – Penta-core processor with 1x Cortex-A76 core, 4x Cortex-A55 cores GPU – Arm Mali-G57 MC2 GPU with support for OpenGL ES 3.2, Vulkan 1.2, and OpenCL 2.0 VPU 8Kp60 H.265, AV1, […]

August 25, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Modular Mojo claims to be over 36,000 times faster than Python for AI workloads

Modular Mojo is a new programming language designed for AI developers that is said to combine the usability of Python with the performance of C with over 36,000 times the performance of Python on a matrix multiplication workload. Modular Mojo programming language was not in the initial plan of the company but came about when the company’s founders – who focused on building a platform to unify the world’s ML/AI infrastructure – realized that programming across the entire stack was too complicated and also ended up writing a lot of MLIR (Multi-Level Intermediate Representation) by hand. The “over 36,000 times speedup” claim comes with the matmul.py script performing a 128×128 matrix multiplication in Python with a throughput of 0.00215 GFLOP/s and another script doing 512×512 vectorized + parallelized matrix multiplication in Mojo at 79.636 GFLOP/s. The claim looks dubious and that’s odd they used different matrix sizes, but some are […]

August 25, 2023January 9, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Youyeetoo YY3568 devkit review – Part 1: Unboxing, specifications, and Android 11 testing

Youyeetoo has sent us a review sample of their YY3568 “Bundle 5” devkit with the Rockchip RK3568-powered YY3568 SBC, an 11.6-inch touchscreen display, a MIPI camera module, and all accessories required to get started. We were especially interested in using it to play with the 1 TOPS NPU in the Rockchip RK3568 in Linux, but we’ll start the Youyeetoo YY3568 review with an unboxing, some specifications, and a quick review with Android 11 before switching to Debian 10 in the second part of the review. Youyeetoo YY3568 devkit unboxing The YY3568 single board computer itself is comprised of a carrier board and a YY3568-Core board with a Rockchip RK3568 processor, as well as 8GB RAM, 64GB eMMC flash, and WiFi 5 and Bluetooth 5.0 module. The board is suitable for various applications from generic computing to video playback and AI workloads. YY3568 SBC specifications and hardware overview Youyeetoo YY3568 board […]

August 22, 2023August 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Tiny solder-down NXP i.MX 93 System-on-Module powers credit card-sized evaluation board

Ka-Ro Electronics’ QS93 is a tiny solder-down NXP i.MX 93 System-on-Module (SoM) running Linux and designed for edge processing. The company also offers a credit card-sized evaluation board that may remind some of the Raspberry Pi with its GPIO header and general layout, but it comes with two Fast Ethernet ports and one USB 2.0 port. We’ve already covered several system-on-modules based on the NXP i.MX 93 Cortex-A55/M33 AI processor including some with high-density board-to-board connectors such as the Compulab UCM-IMX93 and Forlinx FET-MX9352-C, others with a SO-DIMM connector like the VAR-SOM-MX93, and finally some designed to be soldered on the carrier board such as the OSM-L compatible iW-RainboW-G50M, and the QS93 adds to the latter category in a tiny 27×27 mm form factor. Ka-Ro electronics QS93 specifications: SoC – NXP i.MX 93 with CPU – Up to dual-core Cortex-A55 processor @ up to 1.5 GHz Real-time core – Arm […]

August 21, 2023August 21, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MediaPipe for Raspberry Pi released – No-code/low-code on-device machine learning solutions

Google has just released MediaPipe Solutions for no-code/low-code on-device machine learning for the Raspberry Pi (and an iOS SDK) following the official release in May for Android, web, and Python, but it’s been years in the making as we first wrote about the MediaPipe project back in December 2019. The Raspberry Pi port is an update to the Python SDK and supports audio classification, face landmark detection, object detection, and various natural language processing tasks. MediaPipe Solutions consists of three components: MediaPipe Tasks (low-code) to create and deploy custom end-to-end ML solution pipelines using cross-platform APIs and libraries MediaPipe Model Maker (low-code) to create custom ML models MediaPipe Studio (no-code) webpage to create, evaluate, debug, benchmark, prototype, and deploy production-level solutions. You can try it out directly in your web browser at least on PC and I could quickly test the object detection on Ubuntu 22.04. MediaPipe Tasks can be […]

August 7, 2023August 10, 2023 by Sponsored Post - No Comments

Get Early Access to the World’s Most Powerful Edge AI Accelerator! (Sponsored)

AxeleraAI EAP Evaluation Kit Box and System

Final Call for Axelera AI’s Early Access Program A few months ago Axelera AI launched their Metis AI hardware and software platform, available as M.2 cards, PCIe boards, and vision-ready systems, combined with the Voyager SDK. Now, Axelera AI’s Early Access Program (EAP) is entering its final phase – the first evaluation kits are almost ready to be shipped. This program offers a unique opportunity for customers who have signed up to experience firsthand the accuracy, performance, and usability of the Metis AI Platform. Axelera AI delivers the most powerful AI Accelerator in the world. With a PCIe AI Edge accelerator card delivering a peak performance of 214 TOPS. Using a smaller form factor, the M.2 AI Edge accelerator module delivers up to 106 TOPS peaks. This handles the most demanding vision applications. In this article, we will delve into the advantages of the EAP by sharing three customer stories […]