QuickFeather Board is Powered by QuickLogic EOS S3 Cortex-M4F MCU with embedded FPGA (Crowdfunding)

QuickLogic EOS S3 Development Board

Yesterday, I wrote about what I felt what a pretty unique board: Evo M51 board following Adafruit Feather form factor, and equipped with an Atmel SAMD51 Cortex-M4F MCU and an Intel MAX 10 FPGA. But less than 24 hours later, I’ve come across another Adafruit Feather-sized Cortex-M4F board with FPGA fabric. But instead of using a two-chip solution, QuickLogic QuickFeather board leverages the company’s EOS S3 SoC with a low-power Cortex-M4F core and embedded FPGA fabric. QuickFeather specifications: SoC – QuickLogic EOS S3 with Arm Cortex-M4F Microcontroller @ up to 80 MHz and 512 Kb SRAM, plus an embedded FPGA (eFPGA) with 2400 effective logic cells and 64Kb RAM Storage – 16Mbit SPI NOR flash USB – Micro USB  port with data signals tied to eFPGA programmable logic Sensors – Accelerometer, pressure sensor, built-in PDM microphone Expansion I/Os – Breadboard-compatible 0.1″ (2.54 mm) pitch headers including 20 Feather-defined GPIO + 13 additional GPIO with UART, I2C, I2S and SPI Debugging …

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Upcoming SAVVY-V Open Source RISC-V Cluster Board Supports 10GbE via Microsemi PolarFire 64-bit RISC-V SoC

SAVVY-V Open Source-PolarFire RISC-V SOC FPGA Board

RISC-V based PolarFire SoC FPGA by Microsemi may be coming up in the third quarter of this year, but Ali Uzel has been sharing a few details about SAVVY-V advanced open-source RISC-V cluster board made by FOSOH-V (Flexible Open SOurce Hardware for RISC-V) community of developers. It’s powered by Microsemi Polarfire RISC-V SoC MPFS250T with four 64-bit RISC-V cores, a smaller RV64IMAC monitor core, and FPGA fabric that allows 10GbE via SFP+ cages, and exposes six USB Type-C ports. The solution is called a cluster board since up to six SAVVY-V boards can be stacked via a PC/104+ connector and interfaced via the USB-C ports. SAVVY-V cluster board preliminary features and specifications: SoC – Microsemi Polarfire RISC-V SoC MPFS250T with a quad-core 64-bit RV64IMAFDC (RV64GC) processor @ up to 667 MHz, a RV64IMAC monitor core, and FPGA fabric with 250K logic elements; 3.0 CoreMarks/MHz, 2.0 DMIPs/MHz; Also compatible with MPFS160T, MPFS095T, andMPFS025T. System Memory Up to 4GB 32-bit 3200Mbps LPDDR4 …

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Using Google Coral mPCIe Card into a Compact Marvell Octeon TX Linux SBC

Google Coral mPCIe connected to Gateworks Newport GW5903 SBC

Google launched Coral mPCIe and M.2 cards at the very beginning of the year. The cards integrate the company’s 4 TOPS Edge TPU used for low power edge AI applications to bring the solutions to boards with mPCIe or M.2 sockets. Those are just hardware sockets that are optionally connected to USB, PCIe, I2C, etc… so you have to make sure the socket on your board exposes PCIe Gen2 x1. If you worry about compatibility, it’s good to get a board that’s known to work, and one of those is Gateworks Newport GW6903 SBC that offers two mPCIe sockets and features Marvell Octeon TX dual or quad-core Armv8 processor coupled with up to 4GB RAM. Besides the mini PCIe Coral card and Newport SBC, you’ll also need a Linux host and optionally a USB webcam for inference. The rest of the instructions are explained in the Wiki with the following steps required: Recompile the Linux kernel with support for video …

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Zynq UltraScale+ Arm FPGA FZ3 Deep Learning Accelerator Card Supports Baidu Brain AI Tools

FZ3 Card

MYIR’s FZ3 card is a deep learning accelerator board powered by Xilinx Zynq UltraScale+ ZU3EG Arm FPGA MPSoC delivering up to 1.2TOPS for artificial intelligence products based on Baidu Brain AI open platform. The FZ3 card also features 4GB RAM, 8GB eMMC flash, USB 2.0 & USB 3.0 ports, Gigabit Ethernet, DisplayPort (DP) output, PCIe interface, MIPI-CSI and more. MYIR FZ3 card specifications: SoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG) MPSoC Quad-core Arm Cortex-A53 @ 1.2 GHz Dual-core Arm Cortex-R5 processor @ 600MHz Arm Mali-400MP2 GPU FPGA fabric System Memory – 4GB DDR4 Storage – 8GB eMMC flash, 32MB QSPI flash, 32KB EEPROM, MicroSD card slot Video Output – 1x Mini DisplayPort up to 4Kp30 Camera I/F 1 x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector) 1 x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector) Connectivity – 1x Gigabit Ethernet USB – 1x USB 2.0 Host, 1x USB 3.0 Host  Expansion 1x PCIe 2.1 Interface (1-lane) Two 2.54mm pitch 2×20-pin …

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AI Edge Fanless Embedded Box PC is Powered by HiSilicon HI3559A Penta-Core 8K AI Camera SoC

AAEON BOXER-8410AI

HiSilicon Hi3559A is a penta-core Cortex-A73/A53 processor designed for 8Kp30 or 4Kp120 smart cameras thanks to DSP cores and a single or dual-core NNIE (Neural Network Inference Engine) AI accelerator. We first found the processor in an expensive development board and noted its integration into OBSBOT Tail 4Kp60 “auto-director” smart camera and a 4Kp120 action camera. AAEON has now launched BOXER-8410AI AI Edge fanless embedded box PC based on Hi3559A V100ES processor to add an alternative to its Intel and NVIDIA based AI edge PC‘s. AAEON BOXER-8410AI specifications: SoC – Hisilicon Hi3559A V100(ES) (See product brief) CPU – Penta-core processor with 2x Arm Cortex A73 cores @ 1.8 GHz, 2x Arm Cortex A53 cores @ 1.2 GHz, 1x low power Arm Cortex A53 core @ 1.2 GHz GPU – Arm Mali-G71 MP2 GPU @ 900 MHz AI Accelerators – Quad-core DSP & dual-core NNIE MCU – Arm Cortex-M7 based Sensor Hub System Memory – 4GB/8GB DDR4 Storage – 32GB/64GB eMMC …

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Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N Arm Server

SolidRun CEx7-LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor has been found in the company’s Janux GS31 Edge AI server in combination with several Gyrfalcon AI accelerators. But now another company – Bamboo Systems – has now launched its own servers based on up to eight CEx7-LX2160A module providing 128 Arm Cortex-A72 cores, support for up to 512GB DDR4 ECC, up to 64TB NVMe SSD storage, and delivering a maximum of 160Gb/s network bandwidth in a single rack unit. Bamboo Systems B1000N Server specifications: B1004N – 1 Blade System B1008N – 2 Blade System N series Blade with 4x compute nodes each (i.e. 4x CEx7 LX2160A COM Express modules) Compute Node – NXP 2160A 16-core Cortex-A72 processor for a total of  64 cores per blade. Memory – Up to 64GB ECC DDR4 per compute node or 256GB per blade. Storage – 1x 2.5” NVMe SSD PCIe up to 8TB per compute node, or 32TB per blade …

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Qualcomm Robotics RB5 Platform Targets the Development of 5G and AI-Enabled Robots

Qualcomm Robotics RB5 Platform

Qualcomm Robotics RB3 Development Platform powered by Snapdragon 845 processor gets an upgrade with Robotics RB5 Platform equipped with Qualcomm QRB5165 Robotics processor designed for industrial-grade temperature operating, and featuring a 15 TOPS Qualcomm AI Engine fo artificial intelligence and machine learning applications such as heterogeneous computing, enhanced computer vision, and multi-camera concurrency. The development platform also supports for 4G and 5G connectivity via a companion module and runs Ubuntu and ROS 2.0 operating systems. Qualcomm Robotics RB5 development kit specifications: SoC – Qualcomm QRB5165 with  Kryo 585 CPU @ up to 2.84 GHz,  Adreno 650 GPU, Adreno 665 VPU, Adreno 995 DPU, Qualcomm Hexagon DSP with quad HVX, and Qualcomm Spectra 480 ISP System Memory – 8GB LPDDR5 RAM (POP) Storage – 128 GB UFS3.0 storage, MicroSD card slot Video Output – 1x HDMI 1.4 port Audio – 2x WSA8810 Class-D on-board speaker amplifier, built-in PDM MIC, support for 4-mic array via mezzanine (NAV MEZZ) Cameras Optional Intel RealSense …

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NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano PoE Camera edge AI system

Axiomtek AIE100-903-FL is a fanless edge AI System powered by NVIDIA Jetson Nano system-on-module and designed to connect a single 15W PoE camera for AI computing, edge computing, smart retail, smart city, and more. The solution can operate in a wide range of temperatures from -30°C to +60°C and comes with an optional IP42-rated waterproof cover kit that makes it suitable for use in moist places and “semi-outdoor environments”  including freezers and under eaves (edges of the roof which overhang the face of a wall) and other outdoor locations with some protection against rain. Axiomtek AIE100-903-FL specifications: SoM – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processors, 128 CUDA core NVIDIA Maxwell GPU, 4GB 64-bit LPDDR4 and 16GB eMMC flash Storage – 1x M.2 Key M 2280 with PCIe x4 NVMe SSD slot, 1x Micro SD slot Video Output – 1x HDMI 2.0 up to 4K2K @ 60 Hz Connectivity 1x Gigabit Ethernet port, 1x Gigabit Ethernet with 15W PoE …

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