FZ3 Card - Deep Learning Accelerator Card

5,405.00 5405.0 ZAR


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South Africa: Price: R115, 2-4 working days.
International: Contact us for a quote.
No Charge - 3 Appian Place, 373 Kent Ave, RandburgEffortlessly bridge legacy and modern technologies with our DB9 to USB Connector, enabling seamless connectivity between serial devices and USB ports.

All items subject to 1 month warranty. Extended 12 month warranty available at 20% of purchase price. t&c apply

FZ3 Card

Deep Learning Accelerator Card

The FZ3 Card is a powerful deep learning accelerator card based on Xilinx Zynq Ultra Scale+ ZU3EG MP SoC which features a 1.2 GHz quad-core ARM Cortex-A5364-bit application processor, a 600MHz dual-core real-timeARM Cortex-R5processor, a Mali400 embedded GPU and rich FPGA fabric. Besides, it integrates4GB DDR4,8GB eMMC,32MB QSPI Flash, and 32KB EEPROM as well as many peripherals including USB 2.0, USB 3.0, Gigabit Ethernet, TF, Display Port (DP), PCIe interface, MIPI-CSI, BT1120camera, USB-UART, JTAG, IO expansion interfaces, etc. The rich resources enable users to integrate intelligent hardware easily.

The FZ3 Cardis able to run PetaLinux and supports PaddlePaddle deep learning AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio, and Easy Edge 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 UAVand other embedded intelligent applications.

  • Xilinx Zynq UltraScale+ ZU3EG MPSoC based on 1.2 GHz Quad Arm Cortex-A53 and 600MHz Dual Cortex-M4 Cores

  • 4GB DDR4 SDRAM (64-bit, 2400MHz)

  • 8GB eMMC Flash, 32MB QSPI Flash, 32KB EEPROM

  • USB2.0, USB3.0, Gigabit Ethernet, TF, DP, PCIe, MIPI-CSI, BT1120, USB-UART, JTAG

  • Computing Power up to 1.2TOPS, MobileNet up to 100FPS

  • Ready-to-Run PetaLinux

  • Supports Baidu's PaddlePaddle Deep Learning AI Framework