Cavli C17QS Cat 1.bis cellular IoT and GNSS module offers more memory, global support, a new FreeRTOS SDK

Cavli C17QS Cat 1.bis cellular IoT module with FreeRTOS SDK

Cavli Wireless C17QS is a Cat 1.bis cellular IoT and GNSS module that builds up on the Qualcomm QCX216-powered C16QS Cat 1.bis Cellular IoT module introduced last year, with more memory (2MB RAM) and storage (8MB flash), a wider range of LTE bands, multi-band (L1 and L5) GNSS, and a new FreeRTOS SDK for more flexibility compared to the C16QS. The Cavli C17QS Cat 1bis module is designed around a Qualcomm QCX217 Arm Cortex-M3 microcontroller clocked at up to 306MHz clock speed and running FreeRTOS real-time operating system. The module features a range of interfaces including UART, USB 2.0, USIM, SWD, ADCs, I2S, I2C, SPI, and GPIO pins. The new module is pin-to-pin compatible with the C16QS module for easier design upgrades. Cavli C17QS specifications: Wireless IC – Qualcomm QCX217 Arm Cortex-M3 @ 306 MHz, cellular modem-RF Memory – 2MB RAM Storage – 8 MB flash Cellular connectivity LTE CAT […]

BreadboardOS firmware for the Raspberry Pi RP2040 features a Linux-like terminal

BreadboardOS Raspberry Pi Pico

Cavin McKinley’s BreadboardOS is an open-source firmware platform for the Raspberry Pi RP2040 MCU (for now) built around FreeRTOS and with a feature-packed CLI that reminds me of the Linux terminal.

The terminal implementation is based on a fork of the microshell project with some additional customization. It is organized into POSIX-style folders/files providing a familiar user interface for interacting with the hardware on the MCU.

BreadboardOS running on Raspberry Pi Pico board

BreadboardOS highlights:

FreeRTOS-based
Tools for checking system resources such as ps, top, free, and df commands
Interaction with chip I/O and serial buses from the terminal using commands such as cat and echo, for example, you can print the list of GPIOs with:

Variscite DART-MX95 SoM – Edge Computing with dual GbE, 10GbE, Wi-Fi 6, and AI/ML capabilities

Variscite DART MX95 SoM

Introduced at Embedded World 2024, the Variscite DART-MX95 SoM is powered by NXP’s i.MX 95 SoC and features an array of high-speed peripherals including dual GbE, 10GbE, and dual PCIe interfaces. Additionally, this SoM supports up to 16GB LPDDR5 RAM and up to 128GB of eMMC storage. It features a MIPI-DSI display interface, multiple audio interfaces, MIPI CSI2 for camera connectivity, USB ports, and a wide range of other functionalities, making it highly versatile for a variety of applications. Previously, we have covered many different SoMs designed by Variscite, including the Variscite VAR-SOM-6UL, Variscite DART-MX8M, and Variscite DART-6UL SoM, among others. Feel free to check those out if you are looking for products with NXP SoCs. Variscite DART-MX95 SoM Specifications SoC – NXP i.MX 95 CPU Up to 6x 2.0GHz Arm Cortex-A55 cores Real-time co-processors – 800MHz Cortex-M7 and 250MHz Cortex-M33. 2D/3D Graphics Acceleration 3D GPU with OpenGL ES 3.2, […]

Imagination launches the APXM-6200 RISC-V “Catapult” CPU for cost-sensitive consumer and industrial applications

APXM-6200 RISC-V CPU

Imagination has expanded its Catapult product portfolio to include a new RISC-V core, the Imagination APXM-6200 CPU. The APXM-6200 is a 64-bit, in-order application processor with an 11-stage, dual-issue pipeline. There isn’t much information on the new Imagination RISC-V core on the product page but we know it offers “best-in-class” performance density, a minimal silicon footprint, and industry-standard security features. The CPU is targeted at intelligent consumer and industrial applications and delivers a 2.5x improvement in performance density and a 65% improvement in normalized performance over comparable Arm Cortex-A53 and other cores on the market. It’s also faster than the Cortex-A510 Armv9 core in SpecINT2k6. Imagination claims that combining the APXM-6200 CPU with their GPUs will ensure a 2x increase in bus utilization and a 2x reduction in memory traffic. It also comes with RISC-V vector extensions, and AI compute libraries and supports fast data coupling with AI accelerators for […]

Toradex Aquila AM69 SoM features TI AM69A octa-core Cortex-A72 AI SoC, rugged 400 pin board-to-board connector

Toradex Aquila AM69

Toradex Aquila AM69 is the first system-on-module (SoM) from the company’s Aquila family with a small form factor and a rugged ~400-pin board-to-board connector targetting demanding edge AI applications in medical, industrial, and robotics fields with Arm platforms that deliver x86 level of performance at low power. The Aquila AM69 SoM is powered by a Texas Instruments AM69A octa-core Arm Cortex-A72 SoC with four accelerators delivering 32 TOPS of AI performance, up to 32GB LPDDR4, 128GB eMMC flash, built-in WiFi 6E and Bluetooth 5.3 module, and a board-to-board connector for display, camera, and audio interfaces, as well as dual gigabit Ethernet, multiple PCIe Gen3 and SerDes interfaces. All that in a form factor that’s only slightly bigger (86x60mm) than a business card or a Raspberry Pi 5. Toradex Aquila AM69 specifications: SoC  – Texas Instruments AM69A Application processor – Up to 8x Arm Cortex-A72 cores at up to 2.0 GHz […]

Duo 256M is a compact SBC based on SG2002 multi-architecture SoC

Duo 256M SBC

Duo 256M is a small board powered by SOPHGO SG2002 multi-architecture Arm/RISC-V/8051 SoC with 256MB of on-chip RAM and a 1 TOPS NPU, a microSD card for storage, a camera connector, a USB-C port for power and programming, and two headers for GPIO expansion. We covered the SOPHGO SG2002 (and SG2000)  Arm+RISC-V+8051 AI SoC earlier this month saying a couple of boards were expected very soon. We’ve already covered Sipeed LicheeRV Nano with optional Ethernet or WiFi 6, and now we’ll look at the Duo 256M designed by Milk-V Technology in more detail since it’s available now. Duo 256M specifications: SoC – SOPHGO SG2002 Main core – 1GHz 64-bit RISC-V C906 or Arm Cortex-A53 core (selectable) Minor core – 700MHz 64-bit RISC-V C906 core Low-power core – 25 to 300MHz 8051 MCU core NPU – 1 TOPS INT8, supports BF16 Integrated 256MB DDR3 (SiP) Storage MicroSD card slot 32Gbit NAND […]

SOPHGO SG2000/SG2002 AI SoC features RISC-V, Arm, and 8051 cores, supports Android, Linux, and FreeRTOS

SOPHGO SG2000 SG2002 block diagram

SOPHGO SG2000 and SG2002 are new SoCs featuring a bunch of RISC-V and Arm cores capable of running Linux, Android, and FreeRTOS simultaneously, and to maximize the fun an 8051 MCU core is also in the mix along with a 0.5 TOPS (SG2000) or 1 TOPS (SG2002) AI accelerator. More specifically we have one 1GHz C906 64-bit core capable of running Linux, one 1GHz Arm Cortex-A53 for Linux or Android, another 700 MHz C906 RISC-V core for FreeRTOS, and a 300 MHz 8051-core for real-time I/Os, as well as 256MB or 512MB SiP DRAM. The chip is designed for AIoT applications such as Smart IP cameras, facial recognition, and smart home devices. SOPHGO SG2000/SG2002 specifications: CPU cores 1x C906 64-bit RISC-V core @ 1GHz 1x C906 64-bit RISC-V core @ 700MHz 1x Arm Cortex-A53 core @ 1GHz MCU – 8051 8-bit microcontroller core @ 25 to 300 MHz with 6KB […]

iW-RainboW-G55M is an OSM-LF compliant module based on TI AM62A Cortex-A53 processor

TI AM62Ax OSM Module

iWave Systems iW-RainboW-G55M is an OSM Size L compliant system-on-module based on Texas Instruments AM62A single to quad-core Cortex-A53 processor with up to 8GB RAM, 128GB eMMC flash, and a wireless module with WiFi 6, Bluetooth 5.2, and 802.15.4 radios. The iW-RainboW-G55M can leverage the vision processing and deep learning accelerator and the Arm Cortex-R5F real-time cores for control and device management found in the AM62A processor, as well as its display and camera interfaces, peripheral and networking options, to develop products for “man-machine applications at the edge”. iW-RainboW-G55M SoM specifications: SoC – Texas Instruments AM62A SoC (AM62A3, AM62A3-Q1, AM62A7, or AM62A7-Q1) Application processor – Up to four Arm Cortex- A53 cores @ 1.4GHz Real-time cores 1x Cortex-R5F @ 800MHz (MPU Channel with FFI) 1x Cortex-R5F @ 800MHz to support Device Management C7xV-256 Deep Learning Accelerator up to 2 TOPS System Memory – 2GB (default) to 8GB LPDDR4 RAM Storage […]

Exit mobile version
EmbeddedTS embedded systems design