Khadas VIM4 Amlogic A311D2 SBC gets 3.2 TOPS NPU

Khadas VIM4 Amlogic A311D2-N0D SBC

First introduced in 2022, the Khadas VIM4 SBC will now sell with an Amlogic A311D2-N0D Cortex-A73/A53 processor equipped with a 3.2 TOPS NPU, and the version without AI accelerator will be phased out. I reviewed the Khadas VIM4 with both Android 11 and Ubuntu 22.04 last year, and really liked the user experience notably thanks to the OOWOW system that makes it really easy to try different operating systems downloaded from Khadas servers, although some features like support for GPU acceleration still needed to be worked on at the time. One thing missing compared to the previous generation Khadas VIM3 SBC was an on-chip NPU to accelerate AI workloads, and the latest revision of the Amlogic A311D2 processor (with N0D suffix) fixes that on the Khadas VIM4. “Khadas VIM4 with NPU” specifications: SoC – Amlogic A311D2-N0D octa-core processor with 4x Arm Cortex-A73 cores @ up to 2.2 GHz and 4x […]

MangoPi mCore-R818 module powers CyberPad 3.1-inch handheld android “tablet”

mCore-R818 is the first time that MangoPi adopts the design combination of a core-lite module and a carrier board. As its name suggests, it is an AllWinner R818 SoM whose SoC integrates an Imagination PowerVR GE8300 GPU for UI rendering, can drive MIPI DSI, LVDS, and RGB displays, as well as cameras through a MIPI CSI interface, 8MP/5MP/2MP interfaces. The Allwinner R818 system-on-module powers a feature-rich carrier board as well as an upcoming Cyberpad Android “tablet” with a 3.1-inch display. MangoPi mCore-R818 The package design of the processor itself is small, so the MCore-R818 core board is only 3x3cm in size, but still contains four components with the Allwinner R818, the eMMC flash, LPDDR4 memory, and the AXP717 PMU. MangoPi provides two hardware configurations: 2GB DDR with 16GB eMMC flash, and 4GB DDR with 32GB eMMC flash. MCore-R818 Core Lite Specifications: SoC – Allwinner R818 CPU – Quad-core Arm Cortex-A53 […]

NXP i.MX 91 single-core Cortex-A55 SoC to power Linux-based cost-optimized edge devices

NXP has just unveiled the NXP i.MX 91 single-core Cortex-A55 processor following the introduction of the i.MX 93 in 2021, and designed for cost-optimized edge devices running Linux. The NXP i.MX 93 processor comes with up to two Cortex-A55 cores, a Cortex-M33 real-time core, and an Ethos U65 microNPU, but targeting entry-level Linux systems, the NXP i.MX 91 processor does without the real-time core and the AI acceleration, while still integrating NXP EdgeLock Secure Enclave, and the company highlights support for multiple wireless connectivity options through companion chips such as the IW612 that supports Wi-Fi 6, Bluetooth 5.2, 802.15.4, and the new Matter protocol. NXP i.MX 91 specifications: CPU – Arm Cortex-A55 running at up to 1.4GHz with 256KB L2 cache System Memory – Up to 2.4GT/s x16 LPDDR4 with Inline ECC Storage 3x SD 3.0, SDIO 3.0, eMMC 5.1 1x Octal SPI including support for SPI NOR and SPI […]

SMARC 2.1 system-on-module is powered by an Intel Alder Lake-N Atom x7000E, Processor, or Core i3 processor

TQ-Embedded TQMxE41S is a SMARC 2.1 system-on-module (SoM) powered by an Intel Alder Lake-N Atom x7000E, Processor Nxxx, or Core i3 processor with a TDP ranging from 6W to 15W TDP, up to 16GB LPDDR5-4800 memory and up to 256GB industrial iNAND eMMC flash. The Alder Lake-N system-on-module exposes two 2.5 Gigabit Ethernet, four PCIe, USB 3.2, and SATA through its 314-pin edge connector as per SMARC 2.1, while the 12th generation Intel UHD Graphics in the SoC supports AVX256 and advanced AI instruction sets (VNNI) making it suitable for fast AI inferencing and media transcoding. The company expects the module to be integrated into applications in healthcare, IoT, industry/robotics, retail, and video & conferencing. TQEmbedded TQMxE41S specifications: Alder Lake-N SoC (one or the other) Intel Core i3-N305 – 8C/8T, (1.8 – 3.8 GHz); 6 MB Smart Cache, 15W TDP or 9W cTDP, 32 EU, Intel UHD Graphics (up to […]

ARIES FIVEberry – A Community RISC-V SBC powered by Renesas RZ/Five processor

ARIES Embedded has unveiled the FIVEberry 64-bit RISC-V community board for fast prototyping fitted with an OSM-compatible MSRZFive system-in-package (SiP) powered by a 1GHz Renesas RZ/Five microprocessor. The board is equipped with a module with 512 DDR4, a 128MBit SPI NOR flash, a microSD card on the bottom of the board, two Gigabit Ethernet ports, two USB 2.0 ports, a micro USB port for serial console, and a JTAG header for further debugging, as well as a 40-pin GPIO header for expansion. FIVEberry specifications: SoM – ARIES Embedded MSRZFive-A0A system-on-module SoC – Renesas RZ/Five R9A07G043F01GBG single-core RISC-V AX45MP processor @ to 1.0 GHz System Memory – 512MB DDR4 RAM Storage – 128Mbit SPI NOR flash 332 contacts as per OSM Size-S specifications Storage – MicroSD card slot Networking – 2x Gigabit Ethernet ports USB – 1x USB 2.0 host port, 1x micro USB 2.0 OTG port Expansion – 40-pin GPIO […]

Snagboot is an open-source cross-vendor recovery tool for embedded targets

Bootlin has just released the Snagboot open-source recovery tool for embedded platforms designed to work with multiple vendors, and currently STMicro STM32MP1, Microchip SAMA5, NXP i.MX6/7/8, Texas Instruments AM335x and AM62x, and Allwinner “sunxi” processors are supported. Silicon vendors usually provide firmware flashing tools, some closed-source binaries, that only work with their hardware. So if you work on STM32MP1 you’d use STM32CubeProgrammer, while SAM-BA is the tool for Microchip processors, NXP i.MX SoC relies on UUU, and if you’ve ever worked on Allwinner processors you’re probably family with sunxi-fel. Bootlin aims to replace all those with the Snagboot recovery tool. The Python tool is comprised of two parts: snagrecover using vendor-specific ROM code mechanisms to initialize external RAM and run the bootloader (typically U-Boot) without modifying any non-volatile memories. snagflash communicates with the bootloader over USB to flash system images to non-volatile memories, using either DFU, USB Mass Storage, or […]

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

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 […]

$25 Sipeed Tang Nano 20K FPGA board can simulate a RISC-V core, run Linux, retro games

The Sipeed Tang Nano 20K is a low-cost FPGA development board based on Gowin GW2AR-18 FPGA with 20,736 logic cells and 64Mbit RAM, which coupled with  64MBit QSPI flash provides enough resources to simulate a 32-bit RISC-V core booting Linux or playing retro games in an emulator. The FPGA board comes with a USB-C port for power and to load the FPGA bitstream through a BL616 microcontroller that also acts as a USB to serial chip, an HDMI port and an RGB LCD interface for video output, two user buttons, and two rows GPIOs to connect peripherals such as gamepads (through adapters). Sipeed Tang Nano 20K specifications: FPGA – Gowin GW2A-LV18QN88C8I7 with 20,736 logic units (LUT4) 15,552 flip-flops (FF) RAM 41,472 shadow SRAM (S-SRAM) 828K block SRAM (B-SRAM) Numbers of B-SRAM – 46 64Mbit 32-bit SDR SDRAM 48x 18×18 multipliers 2x PLLs 8x I/O Bank Onboard debugger – Bouffalo Labs […]

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