FreeRTOS Category - CNX Software - Embedded Systems News

April 2, 2026April 3, 2026 by Debashis Das - No Comments

Nuvoton NuMicro M3331 Cortex-M33 MCU features built-in ARGB LED controller, optional USB 2.0 OTG interface

Nuvoton’s new NuMicro M3331 is a series of 32-bit Arm Cortex-M33 MCUs clocked at 180 MHz that integrate an ARGB LED controller, a DSP instruction set, a single-precision FPU, and TrustZone security for smart factories, renewable energy systems, and consumer devices. In the past, we have written about other Cortex-M33 MCUs like the STM32U3B5/C5, Texas Instruments MSPM33C321A, Nordic Semi’s nRF54LM20A, and various others, but the Nuvoton M3331 series specifically features a built-in Enhanced LED Light Strip Interface (ELLSI) and up to 10 standard LLSI channels. This allows the MCU to natively support gaming ARGB Gen1 and Gen2 LED control protocols, completely offloading the CPU to run fluid, dynamic LED effects. It comes in two variants, the M3333 series and the M3334 series, with the latter adding a high-speed USB 2.0 OTG controller with an integrated PHY. NuMicro M3331 specifications: MCU core – Arm Cortex-M33 32-bit CPU @ 180 MHz with single-precision […]

March 31, 2026April 1, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

Toradex OSM and Lino SoMs – 30×30mm NXP i.MX 93/i.MX 91 modules with solder-down or B2B connector designs

Toradex has launched two new ultra-compact (30x30mm) System-on-Module (SoM) families: OSM and Lino, powered by NXP i.MX 91 or i.MX 93 Arm Cortex-A55 SoC for Edge industrial and IoT applications. The OSM iMX91 and OSM iMX93 variants comply with the OSM Size-S standard, featuring a 332-ball contact grid designed to be soldered to the carrier board. The Lino is a proprietary format that keeps the OSM Size-S dimensions but features two board-to-board (B2B) connectors offering more flexibility for potential replacement or future upgrades. Toradex Lino iMX91/iMX93 system-on-module Toradex Lino specifications: SoC (one or the other) NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, and color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Security – EdgeLock Secure Enclave NXP i.MX 91 CPU – Single-core Arm Cortex-A55 […]

March 11, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company’s TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator. The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU – Arm Cortex-M0+ @ 80 MHz Memory – 32 KB RAM with ECC Storage – 128 KB flash with ECC, 8 KB data flash with ECC Accelerators TinyEngine NPU for AI/ML delivering up to 2.56GOPS (Giga Operations Per Second) at 80MHz MATHACL math accelerator Peripherals USB – 1x USB 2.0 (12 Mbps) Audio […]

March 10, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

NXP i.MX 93W wireless MPU SiP pairs dual-core Arm Cortex-A55 processor with NXP iW610 WiFi 6, Bluetooth LE, and 805.15.4 radio

NXP i.MX 93W is the company’s first integrated wireless MPU System-in-Package (SiP) and combines a dual-core Cortex-A55 processor (NXP i.MX 93) with an iW610 WiFi 6, Bluetooth LE, and 802.15.4 tri-radio into a single chip. The 14.2 x 12 mm package also includes all the external radio components needed for wireless connectivity, replacing up to 60 discrete components on the PCB. NXP says it reduces the PCB area, simplifies PCB design and regulatory approval, and speeds up time-to-market. NXP i.MX 93W specifications: CPU Dual-Core Arm Cortex-A55 at up to 1.7 GHz Arm Cortex-M33 core at 250 MHz for real-time control GPU – 2D graphics accelerator AI accelerator – Arm Ethos-U65 microNPU Memory I/F – Up to 3.7GT/s 16-bit LPDDR4/LPDDR4X with inline ECC Storage I/F – 2x SD 3.0/SDIO 3.0/eMMC 5.1 Display Interfaces MIPI DSI up to 1080p60 LVDS up to 720p60 24-bit parallel RGB Camera Interface – 2-lane MIPI CSI up […]

March 3, 2026March 3, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

Qualcomm Snapdragon Wear Elite wearable platform offers 5G RedCap, WiFi 6, Bluetooth 6.0, built-in AI accelerator

Qualcomm Snapdragon Wear Elite is described as the “world’s first Personal AI wearable platform”, and features an NPU for on-device AI delivering up to 12 TOPS of performance at low power, supporting 2B parameter models. It delivers up to 5x single-core CPU improvement and up to 7x faster GPU compared to the previous-generation Snapdragon W5+ Gen 2 Wearable Platform while offering up to 30% more battery life for multi-day battery life, thanks to a 3nm architecture. The new Snapdragon Wear Elite platform also supports fast charging with up to 50% charge in under 10 minutes. Snapdragon Wear Elite specifications: CPU – Up to 2.1 GHz GPU Qualcomm Adreno 3D GPU supporting OpenGL ES 3.2, Vulkan 1.2, and OpenCL 2.0 APIs 2.5D GPU co-processor clocked at up to 500 MHz ISP – Qualcomm Spectra AI accelerator – Qualcomm Hexagon NPU; up to 12 TOPS of AI performance; support for up tp 2B […]

January 9, 2026January 9, 2026 by Debashis Das - No Comments

Quectel SRG091X and SRG093X NXP i.MX 9 industrial AIoT modules integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios

Quectel SRG091X and SRG093X NXP i.MX Smart AIoT module

After releasing the very powerful P895BD-AP AIoT module at CES 2026, Quectel now released two new low-power industrial AIoT modules based on NXP’s i.MX 9 series SoCs. The module integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios through the IW610G chipset, so it can simply be dropped into a PCB to create a fully compliant Matter Border Router without any RF design or coexistence concerns. While both modules share the same 46 x 41.5 mm form factor and wireless capabilities, they are different in terms of CPU power as the SRG091X is an entry-level solution built around a single-core NXP i.MX 91 processor, while the SRG093X features dual-core NXP i.MX 93 SoC, which includes a Cortex-M33 real-time core and a neural processing unit (NPU) for edge AI workloads. The module supports LPDDR4/LPDDR4X memory, eMMC storage, and various I/O options, including dual Gigabit Ethernet, USB 2.0, CAN-FD, SPI, UART, I²C/I³C, ADC, […]

January 7, 2026 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

AMD launches Ryzen AI Embedded P100 and X100 processors with up to 50 TOPS of AI performance

AMD has introduced the Ryzen AI Embedded P100 and X100 x86 processors designed to power AI-driven applications at the edge, such as automotive digital cockpits, smart healthcare equipment, and humanoid robotics. AMD had previously launched several Ryzen Embedded families, starting with the Ryzen Embedded V1000 in 2018, and more recently, the Ryzen Embedded 8000 family with a 16 TOPS NPU, yet without “AI” in the name. The new AMD Ryzen AI Embedded family is based on high-performance “Zen 5” core architecture, an RDNA 3.5 GPU for real-time visualization and graphics, and an XDNA 2 NPU for low-latency, low-power AI acceleration. The P100 Series processors target in-vehicle infotainment and industrial automation, while the X100 Series processors feature higher CPU core counts and AI TOPS performance for more demanding physical AI and autonomous systems. Six models are currently available in the Ryzen AI Embedded P100 family: AMD Ryzen AI P121, P123, P121i, […]

December 17, 2025December 18, 2025 by Debashis Das - 2 Comments

Compact development board features a single ESP32-P4 + ESP32-C5 dual-band Wi-Fi 6 module, MIPI display and camera interfaces

WTDKP4C5 S1, ESP32 P4 and ESP32 C5 WI FI6 Development Board

Just a few months back, Wireless-Tag released the WT99P4C5-S1, which combines the ESP32-P4 with an ESP32-C5 dual-band WiFi 6 module, instead of the more commonly used ESP32-C6 wireless module found on most ESP32-P4 development boards we’ve covered. The company has now released the WTDKP4C5-S1, a more compact development board built around the WT01P4C5-S1 ESP32-P4 and ESP32-C5 core module. The board supports MIPI-CSI and MIPI-DSI through the ESP32-P4, while the SDIO-connected ESP32-C5 provides dual-band Wi-Fi 6 (2.4/5 GHz) connectivity along with BLE 5, Zigbee, Thread, and Matter. Other features include a USB 2.0 Type-C OTG port, two UART debug interfaces, two 40-pin GPIO breakouts from both chips, and various power options via USB-C, a 12V DC input, or headers. The board is suitable for LVGL-based HMIs, data acquisition, industrial control, and Edge AI applications such as IPCs and smart displays. Wireless Tag WTDKP4C5-S1 specifications: Core module – Wireless Tag WT01P4C5-S1 Main […]