Mekotronics R57 – A Rockchip RK3576 Edge AI fanless mini PC with HDMI input/output, dual GbE, RS232, RS485, DIO…

Mekotronics R57 fanless RK3567 mini PC

Mekotronics R57 is a fanless edge AI mini PC powered by a Rockchip RK3576 octa-core Cortex-A72/A53 SoC with a 6 TOPS NPU, 4GB LPDDR5, a 32GB eMMC flash, and features such as RS485 and dual gigabit Ethernet that makes it suitable for industrial automation. I initially thought it was a cost-down version of the Mekotronics R58 mini PC that I reviewed with Android 12 as my first ever Rockchip RK3588 device. But while the mechanical design is similar and some of the ports are in the same position, there are some changes with the new model equipped with only one HDMI output, one HDMI input, two GbE jacks, and a terminal block with RS232, RS485, and digital inputs and outputs. Mekotronics R57 specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores @ 2.2GHz, four Cortex-A53 cores @ 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU with […]

Quectel SG368Z WiFi 5 and Bluetooth 4.2 smart module is built around Rockchip RK3568 SoC

Quectel SG368Z Smart Module

The Quectel SG368Z Smart Module is an all-in-one hardware package built around a Rockchip RK3568 AI SoC that combines computing, graphics, storage, and connectivity in a compact form factor. The  LGA module offers WiFi 5 and Bluetooth 4.2 connectivity, dual gigabit Ethernet networking, various video output options (HDMI, LVDS, RGB, MIPI, eDP), USB, PCIe, and many other features making it suitable for applications like smart homes, wearables, and industrial automation. Previously we have seen Quectel introduce various communication modules like the Quectel BG95-S5 5G, the  Quectel KG200Z LoRa the Quectel RG255G RedCap IoT Module, and the Quectel CC660D-LS IoT-NTN module, but this is the first time we have seen Quectel release a Smart Module which can be certainly be considered as a SoM in a LGA package. Quectel SG368Z Smart Module specifications: SoC – Rockchip RK3568 CPU – Quad-core Cortex A55 processor at up to 2.0 GHz GPU – Mali G52 […]

Radxa Fogwise Airbox edge AI box review – Part 1: Specifications, teardown, and first try

Radxa Fogwise Airbox review

Radxa Fogwise Airbox, also known as Fogwise BM168M, is an edge AI box powered by a SOPHON BM1684X Arm SoC with a built-in 32 TOPS TPU and a VPU capable of handling the decoding of up to 32 HD video streams. The device is equipped with 16GB LPDDR4x RAM and a 64GB eMMC flash and features two gigabit Ethernet RJ45 jacks, a few USB ports, a speaker, and more. Radxa sent us a sample for evaluation. We’ll start the Radxa Fogwise Airbox review by checking out the specifications and the hardware with an unboxing and a teardown, before testing various AI workloads with Tensorflow and/or other frameworks in the second part of the review. Radxa Fogwise Airbox specifications The specifications below come from the product page as of May 30, 2024: SoC – SOPHON SG2300x CPU – Octa-core Arm Cortex-A53 processor up to 2.3 GHz VPU Decoding of up to […]

Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm SoC with Cortex-X925 Cortex-A725 Cortex-A520 CPU with Immortalis-G925 GPU

Arm has just announced new Armv9 CPUs and Immortalis GPUs for mobile SoCs, as well as the Kleidi AI software optimized for Arm CPUs from Armv7 to Armv9 architectures. New Armv9.2 CPU cores include the Cortex-X925 “Blackhawk” core with significant CPU and AI performance improvements, the Cortex-A725 with improved performance efficiency, and a refreshed version of the Cortex-A520 providing 15 percent efficiency improvements. Three new GPUs have also been introduced namely the up-to-14-core Immortalis-G925 flagship GPU which delivers up to 37% 3D graphics performance improvements over last year’s 12-core Immortalis-G720, the Mali-G725 with 6 to 9 cores for premium mobile handsets, and the Mali-G625 GPU with one to five cores for smartwatches and entry-level mobile devices. Arm Cortex-X925 The Arm Cortex-X925 delivers 36 percent single-threaded peak performance improvements in Geekbench 6.2 against a Cortex-X4-based Premium Android smartphone, and about 41 percent better AI performance using the time-to-first token of tiny-LLama […]

picoLLM is a cross-platform, on-device LLM inference engine

picoLLM Raspberry Pi 5

Large Language Models (LLMs) can run locally on mini PCs or single board computers like the Raspberry Pi 5 but with limited performance due to high memory usage and bandwidth requirements. That’s why Picovoice has developed the picoLLM Inference Engine cross-platform SDK optimized for running compressed large language models on systems running Linux (x86_64), macOS (arm64, x86_64), and Windows (x86_64), Raspberry Pi OS on Pi 5 and 4, Android and iOS mobile operating systems, as well as web browsers such as Chrome, Safari, Edge, and Firefox. Alireza Kenarsari, Picovoice CEO, told CNX Software that “picoLLM is a joint effort of Picovoice deep learning researchers who developed the X-bit quantization algorithm and engineers who built the cross-platform LLM inference engine to bring any LLM to any device and control back to enterprises”. The company says picoLLM delivers better accuracy than GPTQ when using Llama-3.8B MMLU (Massive Multitask Language Understanding) as a […]

Jetway JNUC-ADN1 4″x4″ Intel N97 “NUC” SBC features two 2.5GbE ports for industrial automation and edge computing

Jetway JNUC ADN1 SBC with Intel N97 SoC

Jetway JNUC-ADN1 is an Intel N97-powered SBC in the Next Unit of Computing (NUC) form factor. The SBC can be equipped with up to 16GB DDR5 RAM via a single SO-DIMM socket, 64GB of eMMC storage, and dual M.2 sockets for additional storage and networking. The SBC comes with two 2.5GbE Ethernet ports and has an operating temperature range of -20°C ~ 60°C, making it suitable for Edge Computing, IoT, and industrial applications. Jetway offers four variants of their NUC-ADN1 SBC whereas the N97000 version does not include eMMC or TPM 2.0 security, the N97002 version features TPM 2.0 but doesn’t have eMMC, the N97004 version omits TPM 2.0 but offers 64GB of eMMC storage, and finally the N97008 version has both TPM 2.0 and 64GB of storage. Previously we have written about similar SBCs from Jetway like the JF35-ADN1 and the Jetway  MI05-0XK, we also covered several N97-based industrial […]

Canonical releases Ubuntu 24.04 Server image for Milk-V Mars RISC-V SBC

Milk-V Mars Ubuntu 24.04 server

Canonical has been releasing Ubuntu RISC-V images for SBCs and QEMU at least since 2021. The latest addition is an Ubuntu 24.04 Server image for the Mars credit-card-size SBC powered by StarFive JH7110 quad-core RISC-V SoC and designed by Shenzhen Milk-V Technology. That means we now have Ubuntu Server images for the QEMU emulator, AllWinner Nezha SBC, Microchip Polarfire SoC FPGA Icicle Kit, SiFive Unmatched mini-ITX motherboard, Sipeed LicheeRV Dock, StarFive VisionFive 2 SBC, and the Mars SBC. You’ll note there aren’t any Ubuntu Desktop images for now, because the GPU (if any) in RISC-V SoCs is not yet fully supported. Mars SBC specifications: SoC – StarFive JH7110 CPU – Quad-core RISC-V processor (RV64GC) at up to 1.5GHz GPU – Imagination BXE-4-32 GPU with support for OpenCL 1.2, OpenGL ES 3.2, Vulkan 1.2 VPU H.264 & H.265 4Kp60 decoding H.265 1080p30 encoding JPEG encoder / decoder System Memory – 1GB, […]

Olimex open-source hardware NXP i.MX 8M Plus industrial-grade SoM runs mainline Linux

Olimex i.MX 8M Plus SOM mainline Linux

Olimex has just announced the iMX8MP-SOM-4GB-IND industrial-grade, open-source hardware system-on-module based on NXP i.MX 8M Plus Arm AI SoC and 4GB LPDDR4 thar runs mainline Linux and operates in the -20°C to +85°C temperature range. The CPU module also features a wide range of interfaces exposed through female headers including HDMI 2.0, MIPI-DSI, LVDS, dual MIPI CSI, dual Gigabit Ethernet, CAN FS and more. Olimex also designed the iMX8MP-SOM-EVB evaluation board for easy evaluation. Olimex iMX8MP-SOM-4GB-IND system-on-module Specifications: SoC – NXP i.MX 8M Plus (MIMX8ML8CVNKZAB) CPU Quad-core Arm Cortex-A53 processor @ up to 1.6 GHz Arm Cortex-M7 real-time core @ 800 MHz Cache – 512KB GPU – Vivante GC7000UL 3D GPU, Vivante GC520L 2D GPU VPU – 1080p H.265/H.264 video decoder & encoder DSP HiFi 4 DSP AI accelerator – 2.3 TOPS Neural Processing Unit (NPU) System Memory – 4GB LPDDR4 Storage – EEPROM for Linux configuration Display and camera […]

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