FZ3 Kit, Deep Learning Accelerator Card with active heatsink and accessories

€221.96 (257.47 € gross) *

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The FZ3 Card is a powerful deep learning accelerator card based on Xilinx Zynq UltraScale+... more
Product information "FZ3 Kit, Deep Learning Accelerator Card with active heatsink and accessories"

The FZ3 Card is a powerful deep learning accelerator card based on Xilinx Zynq UltraScale+ ZU3EG MPSoC which features a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor, a 600MHz dual-core real-time ARM Cortex-R5 processor, a Mali400 embedded GPU and rich FPGA fabric. Besides, it integrates 4GB DDR4, 8GB eMMC, 32MB QSPI Flash and 32KB EEPROM as well as many peripherals including USB 2.0, USB 3.0, Gigabit Ethernet, TF, DisplayPort (DP), PCIe interface, MIPI-CSI, BT1120 camera, USB-UART, JTAG, IO expansion interfaces, etc. The rich resources enable users to integrate intelligent hardware easily.

The FZ3 Card is able to run PetaLinux 2019.1 and supports PaddlePaddle deep learning AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio and EasyEdge to enable developers and engineers to quickly leverage Baidu-proven technology or deploy self-defined models, enabling faster deployment. Typical applications are AI camera, AI computing device, robotics, intelligent car, intelligent electronic scale, patrol UAV and other embedded intelligent applications.

MYIR products are warranted to be free from manufacturing defects for 30 days from the date of purchase. No other express or implied warranties are provided.

Key Features

  • Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC
    • 1.2GHz 64 bit Quad-core ARM Cortex™-A53
    • 600 MHz Dual-core ARM Cortex™-R5 processor
    • ARM Mali™-400MP2 Graphics Processor
    • 6nm FinFET+ FPGA fabric
  • RAM: 4 GB DDR4 (64-bit)
  • 8 GB eMMC
  • 32 MB QSPI
  • 32 KB EEPROM
  • 1 x Gigabit Ethernet
  • USB: 1 x USB 2.0 Host, 1 x USB 3.0 Host
  • TF Card: 1 x Micro SD Card Slot
  • DP: 1 x Mini DisplayPort (4K/40fps, 2-lane)
  • PCIe: 1 x PCIe 2.1 Interface (1-lane)
  • BT1120: 1 x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector)
  • MIPI-CSI: 1 x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector)
  • Debug: 1 x Mini USB-to-UART Port
  • JTAG: 1 x 6-pin 2.54mm pitch pin header
  • LED: 1 x Power LED, 4 x Status LED (2 x Red, 2 x Green)
  • Others: 1 x RTC Battery Socket (AG2 or LR41 battery is recommended)
  • Expansion I/Os
    • Two 2.54mm pitch 2 x 20-pin IO Expansion Interfaces (1 x CAN, 1 x RS485, 2 x USB Host 2.0, 12 pairs x HD_IO, 8 pairs x HP_IO, 4 x PS_MIO)
      Note: the peripheral signals brought out to the expansion interfaces are listed in maximum number. Some signals are reused. Please refer to the board schematic and processor datasheet.
  • Dimensions: 100mm x 70mm (12-layer PCB design)
  • Power supply: DC12V/2A
  • Working temperature board: -40° to 85° Celsius (16 GB TF card: -20° to 70° Celsius)

Software

The FZ3 Card is able to run PetaLinux 2019.1 and supports PaddlePaddle deep learning AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio and EasyEdge to enable developers and engineers to quickly leverage Baidu-proven technology or deploy self-defined models, enabling faster deployment.

Target Applications

  • AI Camera
  • AI Computing Box
  • AI Robot
  • Smart Car
  • Intelligent Electronic Scale
  • Patrol UAV etc.

Video

Scope of Delivery

  • 1 x FZ3 Deep Learning Accelerator Card (installed with active heatsink by default)
  • 1 x 12V/2A Power Adapter
  • 1 x Mini USB Cable
  • 1 x 16 GB TF Card
  • 1 x Mini DP to HDMI Cable
  • Download-Link for user manual, datasheet, schematic, VIVADO project and PetLinux software packages

References

  • Manufacturer: MYIR Make Your Idea Real
  • Manufacturer's article name: FZ3 Kit
  • Manufacturer's article number: MYS-ZU3EG-8E4D-EDGE-K2

Resources

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