System76 has introduced an updated version of its Thelio Mira desktop, featuring AMD Ryzen 9000 series processors, revised thermal design, and improved serviceability. The system targets workstation, development, and compute-heavy workloads, including data processing and machine learning.
IceWhale has opened pre-orders for the ZimaCube 2, a compact NAS and mini server platform designed for storage, media processing, and self-hosted applications. The system is based on 12th Gen Intel processors and adds updated connectivity, expansion options, and storage flexibility compared to earlier ZimaCube systems.
ASRock Industrial has announced the AI BOX-A395, a compact system based on the AMD Ryzen AI Max+ 395 platform. The system integrates CPU, GPU, and NPU resources within a single enclosure and is intended for local inference, content creation, and engineering workloads.
AMYboard is a compact DIY music synthesizer board designed for integration into custom music projects or installation as a Eurorack-compatible 10HP module. The board is powered by an ESP32-S3 module and runs the open-source AMY synthesizer engine, which supports multiple synthesis techniques including virtual analog, FM, wavetable, and sample playback.
Forlinx has introduced the FET-MX95xx-C SoM built around NXP’s i.MX95 applications processor family and demonstrated a multimodal industrial security solution at Embedded World 2026. The demo combines the i.MX95 processor with an Ara240 AI computing card to accelerate edge inference workloads.
MYIR has introduced the MYC-YM62LX system-on-module based on Texas Instruments’ AM62Lx processor family, along with the MYD-YM62LX development board. The platform is intended for embedded and industrial systems such as HMI devices, PLC controllers, EV charging equipment, medical systems, and industrial automation.
Grinn has announced two new products built around the Synaptics Astra edge AI processor family: the AstraSOM-261x system-on-module and the Synaptics Coral Dev Board development platform. The AstraSOM-261x is a compact module designed for integration into embedded products, while the Coral Dev Board provides a development platform for building and evaluating edge AI applications based on the same hardware architecture.
Gateworks has introduced the GW16168, an M.2 AI acceleration card designed to add dedicated neural network processing to embedded and industrial systems. The module integrates NXP’s Ara240 discrete neural processing unit (DNPU) and is designed, tested, and assembled in the United States for industrial edge AI deployments.
Texas Instruments has introduced two new microcontroller families aimed at bringing artificial intelligence processing to low-power embedded systems. The MSPM0G5187 and AM13Ex devices integrate TI’s TinyEngine NPU, a hardware accelerator designed to improve the efficiency of neural network inference on microcontrollers.
Arduino has introduced the Ventuno Q, a development board designed for robotics, embedded computing, and edge inference workloads. The platform combines a high-performance application processor with a real-time microcontroller in a dual-processor architecture intended for systems that process data and control physical hardware simultaneously.
The BeagleBoard.org Foundation has introduced BeagleBadge, an open-source wearable development platform for IoT and embedded applications. The badge integrates a 4.2-inch ePaper display, onboard sensors, wireless connectivity, and expansion interfaces in a compact board for prototyping wearable and interactive systems.
MSI’s MS-C936 is a slim fanless box PC built around Intel Raptor Lake-P U-series processors. The system is designed for embedded deployments such as digital signage, automation platforms, and edge computing systems that require multiple display outputs and high-speed networking.
The CM0IQ is a compact carrier board designed for the Raspberry Pi CM0 compute module and measures 42 × 36 mm, placing it among the smallest boards built around the platform. The design exposes several interfaces typically associated with larger Raspberry Pi boards while maintaining a minimal footprint.
The FSSM8MP from F&S Elektronik Systeme is a SMARC 2.2 computer-on-module built around the NXP i.MX 8M Plus processor. The module is designed for embedded and industrial systems requiring multimedia processing, machine vision capability, and edge inference support.