Ambiq Apollo510 Arm Cortex-M55 MCU delivers up to 30x better power efficiency for AI/ML workloads

Ambiq Apollo Cortex-M55 AI microcontroller

Ambiq Apollo510 Arm Cortex-M55 microcontroller delivers 30 times better power efficiency than typical Cortex-M4 designs and 10 times the performance of the Apollo4 Cortex-M4 sub-threshold microcontroller for AI and ML workloads. The new MCU also comes with 4MB NVM, 3.75MB SRAM, a 2.5D GPU with vector graphics acceleration that’s 3.5 times faster than the Apollo4 Plus, and support for low-power Memory-in-Pixel (MiP) displays. Like all other Ambiq microcontrollers, the Apollo510 operates at sub-threshold voltage for ultra-low power consumption and implements security with the company’s secureSPOT platform with Arm TrustZone technology. Ambiq Apollo510 specifications: MCU Core – Arm Cortex-M55 core up to 250 MHz with Arm Helium MVE, Arm TrustZone, FPU, MPU, 64KB I-cache, 64KB D-cache, 256KB I-TCM (Tighly Coupled Memory), 256KB D-TCM, Graphics – 2.5D GPU clocked at 96 MHz or 250 MHz with vector graphics acceleration, anti-aliasing hardware acceleration,  rasterizer/full alpha blending/texture mapping, texture/framebuffer compression (TSC4, 6, 6A and […]

MaaXBoard OSM93 – Business card-sized SBC features NXP i.MX 93 AI SoC, supports Raspberry Pi HATs

MaaXBoard OSM93 SBC

MaaXBoard OSM93 is a single board computer (SBC) based on a Size-S OSM module powered by an NXP i.MX 93 Cortex-M55/M33 AI SoC and offered in a business card form factor with support for Raspberry Pi HAT boards through a 40-pin GPIO header and mounting holes. The board also comes with 2GB LDDR4, 16GB eMMC flash, MIPI CSI and DSI interfaces for optional camera and display modules, two gigabit Ethernet ports, optional support for WiFi 6, Bluetooth 5.3, and 802.15.4, three USB 2.0 ports, and two CAN FD interfaces with on-board transceivers. MaaXBoard OSM93 specifications: SoC – NXP i.MX93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – 2D GPU with blending/composition, resize, color space conversion NPU – 1x Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Memory – 640 KB OCRAM w/ ECC Security – EdgeLock Secure Enclave System […]

Renesas AIK-RA4E1 and AIK-RA6M3 reference kits are designed for accelerated AI/ML development

Renesas AIK RA4E1 and AIK RA6M3 reference

Renesas AIK-RA4E1 and AIK-RA6M3 are two new development boards based on RA-series 32-bit microcontrollers. These new dev boards have multiple reconfigurable connectivity functions to accelerate AI and ML design and development time. Both boards appear similar, but the AIK-RA4E1 uses the R7FA4E110D2CFM MCU, features three Pmod ports, and has no Ethernet support. On the other hand, the AIK-RA6M3 utilizes the R7FA6M3AH3CFC MCU, has six Pmod ports, and includes Ethernet support. Both the boards support full-speed USB and CAN bus. Renesas AIK-RA4E1 and AIK-RA6M3 reference kits specifications (Consolidated): RA4E1 Microcontroller Features: Model: R7FA4E110D2CFM Package: 64-pin LQFP Core: 100 MHz Arm Cortex-M33 SRAM: 128 KB on-chip Code Flash Memory: 512 MB on-chip Data Flash Memory: 8 KB on-chip RA6M3 Microcontroller Features: Model: R7FA6M3AH3CFC Package: 176-pin LQFP Core: 120 MHz Arm Cortex-M4 with FPU SRAM: 640 KB on-chip Code Flash Memory: 2 MB on-chip Data Flash Memory: 64 KB on-chip Connectivity: One USB […]

Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse NVIDIA TAO Models

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]

BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip Neuromorphic Akida Edge AI Box

BrainChip has recently opened preorders for their Akida Edge AI Box, built in partnership with VVDN Technologies. This box features an NXP i.MX 8M Plus SoC and two Akida AKD1000 neuromorphic processors for low-latency, high-throughput AI processing at the edge. The system features USB 3.0 and micro-USB ports, HDMI, 4GB LPDDR4 memory, 32GB eMMC with up to 1TB micro-SDXC expansion, dual-band Wi-Fi, and two gigabit Ethernet ports for external camera connections, all within a compact, passively-cooled chassis, powered by 12V DC. BrainChip Akida Edge AI Box Specifications: Host CPU – NXP i.MX 8M Plus Quad SOC with 64-bit Arm Cortex-A53 processor running at up to 1.8GHz AI/ML Accelerator – Dual Brainchip AKD1000 (Akida Chip) over PCIe for efficient AI processing Memory – 4GB LPDDR4 Storage 32GB eMMC flash MicroSD card slot for additional storage options Display Output – HDMI output supporting up to 3840 x 2160p30 resolutions with a pixel clock […]

LicheeRV Nano – A low-cost SG2002 RISC-V and Arm camera and display board with optional WiFi 6 and/or Ethernet

SG2002 camera development board

When I wrote about the SOPHGO SG2002 (and SG2000) RISC-V, Arm, and 8051 AIoT processor yesterday, I noted several boards were in development, but I had not noticed the Sipeed LicheeRV Nano (Beta) was already available for sale, so let’s have a closer look. It’s an inexpensive, tiny camera and display board running Linux with optional support for WiFi 6 and 10/100M Ethernet connectivity which somewhat reminds me of the Breadbee SBC based on MStar MSC313E Camera SoC. Sipeed also provides accessories such as a camera module and a touchscreen display to quickly get started. LicheeRV Nano 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 and SD 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 […]

NXP launches MCX A14x and MCX A15x Arm Cortex-M33 MCUs along with FRDM-MCXA153 development board

FRDM-MCXA153 MCX development board

NXP has just announced the launch of the MCX A series Arm Cortex-M33 microcontrollers with the MCX A14x running up to 48 MHz and the MCX A15x running up to 96 MHz. The devices support up to 128KB flash and 32KB SRAM, offer I2C, I3C, and SPI sensor interfaces, and integrate support for BLDC/PMSM motor control. NXP first unveiled the NXP MCX general-purpose Arm MCU family with 30 times faster machine learning at Embedded World 2022, but at the time we had limited information although four series were planned with the MCX N Advanced series up to 250 MHz, the MCX A essential series up to 96 MHz, the MCX W Wireless series with Bluetooth LE, and the MCX L Low-power series. The MCX A series has just been launched, and the high-end MCX N also has its own product page with the N94x and N54x variants. We’ll focus on […]

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