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Posted on by Tomisin Olujinmi - 1 Comment on GigaDevice announces GD32F5 Cortex-M33 microcontroller targeted at high-performance applications

GigaDevice announces GD32F5 Cortex-M33 microcontroller targeted at high-performance applications

GigaDevice GD32F5 Cortex-M33 microcontroller

GigaDevice has officially launched the GD32F5 microcontroller series based on the Arm Cortex-M33 core. The Arm Cortex-M33 core has a maximum operating frequency of 200MHz and a working performance of up to 3.31 CoreMark/MHz. It also comes with a digital signal processing extension and a single-precision floating-point unit to reduce the load on the core. The GD32F5 microcontrollers are designed for high-performance applications and come equipped with up to 7.5MB on-chip flash, 1MB static RAM (SRAM), and diverse connectivity peripherals. The on-chip flash includes a zero-wait execution area (code flash) to improve code processing efficiency and real-time performance, and sizable data flash space for storing backups and parameters. The products support seamless OTA updates with a maximum of 2MB for Read-While-Write (RWW) operations. According to GigaDevice, the GD32F5 series is expected to find applications in “energy and power management, photovoltaic energy storage, industrial automation, programmable logic controllers (PLC), network communication […]

Posted on by Debashis Das - No Comments on Blues launches $19 Notecard XP cellular IoT module and Notecarrier XP series carrier board

Blues launches $19 Notecard XP cellular IoT module and Notecarrier XP series carrier board

Blues $19 Notecard XP

Blues has recently released the latest entry to its Notecard family, the Notecard XP (External Power supply), an updated and more cost-effective version of its existing Notecard Cellular. This new model reduces costs by not including certain components, such as SIM switching hardware, an embedded SIM with a data plan, and conformal coating while retaining all key features and functionalities. These include an Arm Cortex-M4 microcontroller, a three-axis accelerometer, a temperature sensor, and a secure element. Additionally, they have also removed the radio power supply to reduce costs further, bringing the price down to just $19. Alongside this release, Blues has also introduced a new “midband” LTE Cat 1 bis Notecard Cellular model, which features a single antenna design making it more compact and economical. In February this year we have seen Blues announced the Blues Starnote IoT Module, along with the Notecarrier A, B, F, and Pi series of […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU

Arm has just Introduced its third-generation NPU for edge AI with the Arm Ethos-U85 that scales from 256 GOPS to 4 TOPS or up to four times the maximum performance of the previous generation Ethos-U65 microNPU, while also delivering 20% higher power efficiency. While previous Arm microNPUs were paired with Cortex-M microcontroller-class cores potentially embedded into a Cortex-A application processor, the new Ethos-U85 can be married with Cortex-M microcontrollers and Cortex-A application processors up to the Cortex-A510/A520 Armv9 cores. Arm expects the Ethos-U85 to find its way into SoC designed for factory automation and commercial or smart home cameras with support for the new Transformer Networks and the more traditional Convolutional Neural Networks (CNNs). The Arm Ethos-U85 supports 128 to 2,048 MACs with performance ranging from 256 GOPS to 4 TOPS at 1 GHz, embeds 29 to 267KB RAM, offers SRAM, DRAM, and flash interface for external memory, and up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Silicon Labs MG26, BG26, and PG26 Cortex-M33 AI microcontrollers offer up to 3200KB flash, 512KB RAM, 64 GPIO’s

Silicon Labs MG26, BG26, and PG26 Cortex-M33 AI microcontrollers offer up to 3200KB flash, 512KB RAM, 64 GPIO’s

Silicon Labs MG26 BG26 P26 Cortex M33 microcontrollers

Silicon Labs has announced the xG26 family of Cortex-M33 wireless SoCs and MCUs that consists of the multiprotocol MG26 SoC, the Bluetooth LE BG26 SoC, and the PG26 general-purpose MCU without wireless connectivity, and features double the flash and RAM of the Silicon Labs xG24 devices. The xG26 family also comes with double the number of general-purpose input/output (GPIO) pins as the xG24 to enable engineers to build more complex devices in combination with the larger flash and memory reaching up to 3200 KB and 512KB respectively and also integrates a Matrix Vector Processor (MVP) for AI/ML hardware acceleration and Math functions. Silicon Labs MG26 and BG26 wireless SoCs MG26 and BG26 key features and specifications: MCU core – Arm Cortex-M33 @ 78 MHz AI/ML accelerator – Matrix Vector Processor that is 8x faster and 6x lower power than Cortex-M33 processing, and supports an MVP Math Library for non-ML workloads […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Intel Agilex 5 SoC FPGA embedded SoM targets 5G equipment, 100GbE networking, Edge AI/ML applications

Intel Agilex 5 SoC FPGA embedded SoM targets 5G equipment, 100GbE networking, Edge AI/ML applications

Hitex eSOM5C-Ex

Hitek Systems eSOM5C-Ex is a compact embedded System-on-Module (SOM) based on the mid-range Intel Agilex 5 SoC FPGA E-Series and a pin-to-pin compatible with the company’s earlier eSOM7C-xF based on the Agilex 7 FPGA F-Series. The module exposes all I/Os, including up to 24 transceivers, through the same 400-pin high-density connector found in the Agilex 7 FPGA-powered eSOM7-xF and the upcoming Agilex 5 FPGA D-Series SOM that will allow flexibility from 100K to 2.7 million logic elements (LEs) for the whole product range. Hitek eSOM5C-Ex specifications: SoC FPGA – Intel Agilex 5 E-series group A and Group B FPGAs in B32 package Supported variants: A5E065A/B, A5E043A/B and A5E043A/B Hard Processing System (HPS) – Dual-core Cortex-A76 and dual-core Cortex-A55 FPGA Up to 656,080 Logic elements 24 x transceivers up to 28Gbps System Memory Up to 2x 8GB LPDDR4 for FPGA 2 or 4GB DDR4 for HPS Storage – 32GB eMMC flash, […]

Posted on by Tomisin Olujinmi - No Comments on u-blox ALMA-B1 and NORA-B2, Bluetooth 5.4 LE modules are based on Nordic nRF54H20 and nRF54L15 SoCs

u-blox ALMA-B1 and NORA-B2, Bluetooth 5.4 LE modules are based on Nordic nRF54H20 and nRF54L15 SoCs

u-blox ALMA-B1 and NORA-B2 modules

Wireless communication solutions provider, u-blox has added two new modules to its Bluetooth LE portfolio with the ALMA-B1 and NORA-B2 modules built upon the latest low-power wireless nRF54 chips from Nordic Semiconductor.  Both modules come in a portable, power-efficient layout and support Bluetooth 5.4 and 802.15.4 (Thread, Matter, Zigbee). The ALMA-B1 and NORA-B2 BLE modules are powered by the low-power nRF54H20 and nRF54L15 SoCs, respectively. This enables them to provide IoT devices with sufficient processing power for edge computing and machine learning without the need for external components. u-blox claims that the ALMA-B1 module provides “more than twice the processing power of previous Bluetooth LE modules” and can replace general-purpose microcontrollers in compact solutions. Also, the NORA-B2 reportedly “consumes up to 50% less current compared to previous generations of Bluetooth LE modules,” leading to longer battery life or smaller batteries in end products. Both modules are classified as open CPU […]

Posted on by Tomisin Olujinmi - 1 Comment on Digi ConnectCore MP25 SoM targets Edge AI and computer vision applications with STM32MP25 MPU

Digi ConnectCore MP25 SoM targets Edge AI and computer vision applications with STM32MP25 MPU

digi connectcore mp25 module

Digi International, an American Industrial IoT solutions provider, has announced its latest system-on-module, the Digi ConnectCore MP25 SoM, at Embedded World 2024 in Nuremberg, Germany. The Digi ConnectCore MP25 SoM is built upon STMicroelectronics’ STM32MP25 microprocessor. It supports artificial intelligence and machine learning functionality through an integrated neural processing unit (NPU) capable of 1.35 tera operations per second (TOPS) and an image signal processor (ISP). It is powered by two 64-bit Arm Cortex-A35 cores running at 1.5GHz, supported by a 32-bit Cortex-M33 core operating at 400MHz and a 32-bit Cortex-M0+core running at 200MHz. With its machine learning capabilities, support for time-sensitive networking, and versatile connectivity features, the ConnectCore MP25 module is suitable for edge AI, computer vision, and smart manufacturing applications in various sectors, including medical, energy, and transportation. Digi ConnectCore MP25 specifications: SoC – STMicroelectronics STM32MP257F CPU – 2x 64-bit Arm Cortex-A35 @ 1.5 GHz; MCU 1x Cortex-M33 @ […]

Posted on by Tomisin Olujinmi - No Comments on M5Stack BugC2 programmable robot base has an STM32 control chip and a four-way motor driver

M5Stack BugC2 programmable robot base has an STM32 control chip and a four-way motor driver

m5stack bugc2 robot

Modular IoT hardware developer, M5Stack, has released a new programmable robot base based on the STM32F030F4 microcontroller with LEGO and Arduino compatibility. The M5Stack BugC2 is “compatible with the M5StickC series controllers,” and includes the ESP32-powered M5StickC Plus2 development kit in the package. It features an L9110S four-way motor driver for all-directional operation, two programmable RGB LEDs, an infrared encoder, and a 16340 rechargeable Li-ion battery holder. It also comes with a USB Type-C port for charging the battery and supports onboard reverse charging protection and voltage detection. Listed applications for the M5Stack BugC2 programmable robot base include remote motor control, robot control, and an intelligent toy. M5Stack BugC2 specifications: Microcontroller – STMicroelectronics STM32F030F4 microcontroller, with Arm 32-bit Cortex-M0 CPU @ 48 MHz, and with up to 256KB of flash memory Motor driver – L9110S Infrared receiver – SL0038GD IR detection distance (StickC Plus2) Infrared emission distance (linear distance) at […]

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