Renesas RA0 Cortex-M23 MCU series target power and cost-sensitive applications

Fast Prototyping Board for RA0E1

Renesas has announced the new low-power RA0 microcontroller series based on the power-efficient Arm Cortex-M23 core and the entry-level RA0E1 Group in the series. According to Renesas, the RA0 microcontrollers offer the “industry’s lowest overall power consumption for general-purpose 32-bit MCUs.” With a current consumption of 84.3 μA/MHz in active mode and only 0.82 mA in sleep mode, these microcontrollers are built to provide ultra-low power consumption. They also offer a Software Standby mode where the CPU, peripheral functions, and internal oscillators cease to operate. This mode reduces power consumption further by 99% down to 0.20 µA. They also come with a high-precision, High-speed On-Chip Oscillator (HOCO) for fast wake-up. The Cortex-M23 core is based on the Armv8-M instruction set and offers a maximum clock frequency of 32 MHz, with up to 64KB of code flash memory and 12KB SRAM  for storing application code and data. This feature set makes […]

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 […]

Duo S RISC-V/Arm SBC features Sophgo SG2000 SoC, Ethernet, WiFi 6, and Bluetooth 5 connectivity

Duo S SBC Sophgo SG2000 Ethernet WiFi 6 Bluetooth

Shenzhen MilkV Technology’s Duo S is a tiny SBC based on the 1 GHz Sophgo SG2000 Arm Cortex-A53 and RISC-V SoC with 512MB DDR3 (SiP), Fast Ethernet, WiFi 6, and Bluetooth 5 connectivity, and a switch to select Arm or RISC-V architecture before powering the board. We already had covered SG2002 Arm/RISC-V boards with 256MB RAM, namely the LicheeRV Nano and Duo 256M, but for people needing more memory, the Duo S provides another option that also features two 2-lane MIPI CSI connectors, a USB 2.0 host port, and two 26-pin headers for expansion. Its form factor reminds me of FriendlyELEC’s NanoPi NEO and family powered by Allwinner processors that were introduced a few years ago. Duo S specifications: SoC – SOPHGO SG2000 Main core – 1 GHz 64-bit RISC-V C906 or Arm Cortex-A53 core (selectable) Minor core – 700 MHz 64-bit RISC-V C906 core Low-power core – 25 to […]

Efinix Titanium Ti375 FPGA offers quad-core hardened RISC-V block, PCIe Gen 4, 10GbE

Efinix Titanium Ti375 RISC-V FPGA SoC

Efinix Titanium Ti375 SoC combines high-density, low-power Quantum compute fabric with a quad-core hardened 32-bit RISC-V block and features a LPDDR4 DRAM controller, a MIPI D-PHY for displays or cameras, and 16 Gbps transceivers enabling PCIe Gen 4 and 10GbE interfaces. The Titanium Ti375 also comes with 370K logic elements, 1.344 DSP blocks, 2,688 10-Kbit SRAM blocks, and 27,53 Mbits embedded memory, as well as DSP blocks optimized for computing and AI workloads, and XLR (eXchangeable Logic and Routing) cells for logic and routing. Efinix Titanium Ti375 specifications: FPGA compute fabric 370,137 logic elements (LEs) 362,880 eXchangeable Logic and Routing (XLR) cells 27,53 Mbits embedded memory 2,688 10-Kbit SRAM blocks 1,344 embedded DSP blocks for multiplication, addition, subtraction, accumulation, and up to 15-bit variable-right-shifting Memory – 10-kbit high-speed, embedded SRAM, configurable as single-port RAM, simple dual-port RAM, true dual-port RAM, or ROM FPGA interface blocks 32-bit quad-core hardened RISC-V block […]

TinyVision is a compact Allwinner V851S/V851S3-powered Linux board for vision-based applications

tinyvision board

Unrelated to, the TinyVision development board is a computer vision board from Chinese developer YuzukiTsuru powered by either the Allwinner V851S or the V851S3 and is billed as an “ultimate all-in-one solution for Linux motherboards, IPCs, servers, routers, and more.” It packs features such as a Cortex-A7 core running at 1200MHz, a 2-channel MIPI CSI input, and an independent image signal processor (ISP) capable of a maximum resolution of 2560 x 1440 in a compact form factor. TinyVision specifications: Processor – Allwinner V851SE / V851s3 with Cortex-A7 core @ 1200MHz and RISC-V E907GC core @ 600MHz NPU: 0.5TOPS (tera operations per second) @ INT8 precision Memory – 64MB DDR2 (V851se), 128MB DDR3L (V851s3) Storage – MicroSD card slot (supports UHS-SDR104), onboard SD NAND via SPI Display – 2-lane MIPI DSI (1280 x 720 @ 60fps), RGB LCD (320 x 240 @ 60fps) Video Input ISP with a maximum resolution […]

HPMicro HPM6800 600 MHz RISC-V MCU comes with a Vivante 2.5D GPU with OpenVG support


HPMicro HPM6800 is a family of high-end RISC-V microcontrollers clocked up to 600 MHz integrating a VeriSilicon Vivante 2.5D GPU with support for the OpenVG 1.1 vector graphics API, and peripherals making it suitable for digital dashboard displays and human-machine interfaces (HMI). The family is comprised of three parts: the HPM6830 without video support, the HPM6850 with 2D graphics and video input/outputs, and the HPM6880 adding support for the 2.5D OpenVG GPU from VeriSilicon.  All variants come with 1064KB SRAM, support for external DDR2/DDR3/DDR3 memory, NOR, PSRAM and eMMC flash, audio interfaces, and a range of peripherals with eight CAN FD interfaces, gigabit Ethernet, USB high-speed, and many more. HPMicro HPM6800 specifications: CPU – Single core 32-bit RISC-V (RV32-IMAFDCP) processor @ 600MHz with 32KB I/D Cache (3390 CoreMark) Memory 1064 KB SRAM with 256KB ILM + 256KB DLM in the RISC-V core, 512KB AXI SRAM, 32KB AHB SRAM, and 8KB […]

Kaki Pi is a Raspberry Pi-inspired Renesas RZ/V2H AI SBC with four camera connectors, a PCIe 3.0 interface

Kaki Pi Renesas RZ/V2H SBC Raspberry Pi flavor

Japanese company Yuridenki-Shokai Co. Ltd will soon launch the Kaki Pi single board computer based on the just-announced Renesas RZ/V2H Arm microprocessor with a powerful 80 TOPS AI accelerator, with Raspberry Pi-inspired form factor and features such as the 40-pin GPIO header, the same PCIe 3.0 connector as found in the Raspberry Pi 5, and four 22-pin MIPI CSI connectors that look to be compatible with the Raspberry Pi cameras. The board also comes with up to 8GB LPDDR4,  a microSD card for the OS, a 22-pin MIPI DSI connector for a display, a gigabit Ethernet port, two USB 3.0 ports, two CAN Bus connectors, and other interfaces that make it suitable for robotics applications such as Autonomous Mobile Robots (AMR) and HSR (Human Support Robots) as well as IoT projects. Kaki Pi specifications: SoC – Renesas RZ/V2H CPU/MCU cores Quad-core Arm Cortex-A55 processor up to 1.8 GHz Dual-core Arm […]

Renesas RZ/V2H Cortex-A55/R8/M33 MPU comes with 80 TOPS AI accelerator for robotics and autonomous applications

Renesas RZ/V2H block chart

The RZ/V2H is the latest addition to the Reneasas family of 32-bit and 64-bit microprocessors. Renesas RZ/V2H microprocessor features four Arm Cortex-A55 application processing cores, dual Arm Cortex-R8 real-time processing cores, and one Cortex-M33 core for system management, as well as an AI accelerator with up to 80 TOPS (sparse) of performance. The RZ/V2H MPU includes the third generation of Renesas’ dynamically reconfigurable processor for AI (DRP-AI3) accelerator, a staple of the RZ/V series. The DRP-AI accelerator can run complex image AI models at a power efficiency of 10 TOPS per watt (TOPS/W), as much as 10 times higher than conventional microprocessors. Additionally, the RZ/V2H has another DRP that can be used in image processing and robotics applications. The board also comes with PCIe Gen3, USB 3.2, and Gigabit Ethernet for high-speed applications such as autonomous robotics and factory automation machine vision. It offers a performance boost over previous products […]

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