Topaz Tz170b FPGA devkit features hardened LPDDR4 controller, hardened MIPI D-PHY up to 2 Gbps per lane

Topaz Tz170 J484 Development Kit

The Topaz Tz170b FPGA devkit from Efinix is a compact FPGA evaluation platform built around the Efinix Tz170 FPGA. This FPGA is built around a low-power, high-density 16 nm Quantum fabric and comes in a compact 484-ball FineLine BGA package. The company mentions that the board supports hardware-level MIPI D-PHY with data rates of up to 2 Gbps per lane and hardware-level LPDDR4 memory controller, making it ideal for high-speed embedded systems, vision processing, and custom SoC designs. Additionally, it includes 256 Mbit of LPDDR4 memory, dual SPI NOR flash memories, and high-speed QSE connectors for Efinix or custom daughter cards. Expansion is further enabled by a low-pin-count FMC connector, a microSD slot, user LEDs, and push buttons. Clock options include 33.33, 50, and 74.25 MHz oscillators, and a full range of onboard regulated power sources for stable operations. These features make this device useful for applications like edge AI, […]

Beacon W5+ SoM – A tiny (27x15mm) Qualcomm Snapdragon W5+ System-on-Module for wearables

Tiny Snapdragon W5+ System-on-Module

Beacon EmbeddedWorks’ W5+ SoM is an ultra-compact (27×15 mm) system-on-module powered by the Qualcomm Snapdragon W5+ platform for wearables with a quad-core Cortex-A53 processor, a co-processor with an Arm Cortex-M55 core and an Ethos U55 ML accelerator, and WiFi 4 and Bluetooth 5.3 connectivity. The Snapdragon W5/W5+ wearables platforms were introduced in the summer of 2022, but so far, all I could find was a $2,000 devkit (TurboX W5+) suitable for ODM/OEM manufacturers. The upcoming Beacon W5+ SoM will be one of the first hardware solutions based on the Snapdragon W5+ platform designed for commercial applications. Beacon W5+ specifications: Platform – Snapragon W5+ SW5100P-0 SoC CPU – Quad-core Cortex-A53 processor @ up to 1.7 GHz GPU – Qualcomm Adreno A702 @ up to 1,010 MHz with OpenGL ES 3.1, Vulkan 1.0, OpenCL 2.0 API support DSP – Dual Qualcomm Hexagon DSP V66K ISP – Dual ISP VPU 1080p30 Video Decode […]

ESP32-S3 Smart Audio devkit integrates 1.8-inch round touch LCD, microphone, optional battery and speaker box

Waveshare ESP32-S3 round display development board

Waveshare ESP32-S3-Touch-LCD-1.85C is an ESP32-S3 development kit with a 1.85-inch round touchscreen display with 360×360 resolution, support for Wi-Fi & Bluetooth BLE 5, and a built-in microphone. There’s also the ESP32-S3-Touch-LCD-1.85C-BOX with the same specifications, but an additional box with a speaker and a 3.7V battery. Both versions come with 16MB SPI flash, a microSD card slot, a USB-C port, a few buttons, GPIO and I2C expansion headers, and can be used as music players, smart speakers, HMI solutions,  etc… It’s not quite the first ESP32-S3 audio + display devkit we’ve covered, as Waveshare introduced the ESP32-S3-Touch-AMOLED-1.8 earlier this year with a squared AMOLED display, and Wireless Tag launched the ESP32 Agent Dev Kit to interface with LLMs. ESP32-S3-Touch-LCD-1.85C specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 8MB PSRAM Wireless – WiFi 4 and Bluetooth […]

Geniatech APC680 Edge AI and TV Box is powered by Synaptics VS680 AI SoC with 7.9 TOPS NPU

Geniatech APC680

Geniatech APC680 is described as an “AI-powered TV box” powered by Synaptics VS680 quad-core Cortex-A73 SoC with a built-in 7.9 TOPS NPU and designed for smart entertainment and edge computing. The system comes with 4GB RAM and 16GB eMMC flash by default, 4K capable HDMI output and input ports, gigabit Ethernet, WiFi 5 and Bluetooth 5.0,  a few USB ports, and a range of wireless options including 4G LTE, Zigbee, Z-Wave, and LoRa. Besides being just an AI-powered TV box, it could also be used as a Smart Home gateway in more ways than one. Geniatech APC680 specifications: SoC – Synaptics VS680 CPU – Quad-Core Arm Cortex-A73 processor GPU – Imagination PowerVR Series9XE GE9920 with support for OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.1, and DirectFB VPU Up to 2160p60 decode with AV1, H.265, H.264, VP9, VP8, and MPEG-2 Up to 1080p60 encode with H.264, VP8 NPU – 7.9 TOPS with […]

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

ZED Box Mini

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES uSMARC module Renesas RZ V2N

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

Canonical now officially supports Ubuntu on NVIDIA Jetson system-on-modules

Canonical Ubuntu NVIDIA Jetson

The NVIDIA JetPack SDK has been based on Ubuntu ever since it was created (although the Jetpack 6 SDK changed that somewhat), so I was surprised to read that Canonical now officially supports Ubuntu on NVIDIA Jetson, since I assumed there may have already been a partnership in place. The announcement explains that Canonical has announced the General Availability (GA) of Ubuntu for the NVIDIA Jetson Orin for edge AI and robotics “bringing enterprise-grade stability and support” to the popular system-on-modules. Canonical further explains the collaboration enables better performance with optimized Ubuntu images for the NVIDIA Jetson platform, enterprise-level security with updates and long-term support,  a unified environment from edge to cloud, and improved stability and reliability with Canonical’s QA team performing over 500 OS compatibility-focused hardware tests. If we visit the NVIDIA Jetson page of the Ubuntu website, we’ll find Ubuntu Server 22.04 images for the Jetson AGX Orin, […]

MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 520

The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025.  The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]

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