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Xilinx Zynq UltraScale+ XCZU3EG Xilinx Zynq UltraScale+ XCZU3EG Xilinx Zynq UltraScale+ XCZU3EG Xilinx Zynq UltraScale+ XCZU3EG
  • Xilinx Zynq UltraScale+ XCZU3EG
  • Xilinx Zynq UltraScale+ XCZU3EG
  • Xilinx Zynq UltraScale+ XCZU3EG
  • Xilinx Zynq UltraScale+ XCZU3EG

FZ3 Card

Deep Learning Accelerator Card based on XCZU3EG Zynq UltraScale+ MPSoC

AMD/Xilinx Zynq UltraScale+ ZU3EG MPSoC 

1.2 GHz Quad Arm Cortex-A53 and 600MHz Dual Cortex-R5 Cores

4GB DDR4 (64-bit, 2400MHz), 8GB eMMC, 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 2020.1

Supports Xilinx Vitis Software Development Platform

AMD Approved Adaptive Computing Partner


Powerful AI Computing Performance & Low Power Consumption

The FZ3 Deep Learning Accelerator Card, leveraging the Xilinx Zynq UltraScale+ MPSoC XCZU3EG, incorporates a 4-core Cortex-A53 processor. Its measured performance can reach up to 1.2 TOPS, achieving 100FPS for MOBILENET under quantized pruning, exceeding CPU performance by 20 times, while consuming only 5-10W of power. When the model is not pruned or quantized, the performance of the accelerator card is still excellent.

Singel Board Computer - FZ3 Card

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 2020.1 and and provided complete BSP. It can support Xilinx Vitis Software development platform. It can also 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 provides FZ3 Kit which contains the FZ3 Card with installed radiator and some necessary accessories including one power adaptor, one 16GB TF card, one mini USB cable and one mini DP to HDMI cable. It helps users start their development rapidly when getting the kit out-of-box right away.

Rich Development Resources and Tool Platforms

The FZ3 deep learning accelerator card, powered by the Xilinx Zynq UltraScale+ MPSoC XCZU3EG, offers seamless compatibility with the Baidu Brain tool platform, providing a one-stop solution to lower the threshold for AI development.

FZ3 Deep Learning Accelerator Card for Embedded Intelligent Applications

The FZ3 Deep Learning Accelerator Card is suited for a diverse array of applications spanning intelligent security, industrial inspection, medical diagnosis, drone surveillance, scientific research, consumer electronics, and autonomous driving. It finds applicability in various devices and systems, including AI cameras, computing boxes, robots, smart cars, intelligent electronic scales, and numerous other cutting-edge technologies.

Security Monitoring

Industrial Quality Inspection

Scientific Research and Education

Medical Diagnosis

Autonomous Driving

Intelligent Retail

Hardware & Software

ItemDescription
Processor

Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC

- 1.2GHz 64 bit Quad-core ARM® Cortex™-A53

- 600MHz Dual-core ARM® Cortex™-R5 processor

- ARM Mali™-400MP2 Graphics Processor

- 16nm FinFET+ FPGA fabric

Memory

4GB DDR4 (64-bit)

Storage

8GB eMMC

32MB QSPI

32KB EEPROM

1x Micro SD card slot

PCB12-layer PCB design
Power SupplyDC 12V/2A
Dimensions100mm x 70mm
Working Temperature

-40~+85℃

Debug UART

1x Mini USB-to-UART Port

Ethernet1x 10/100/1000 Mbps Ethernet
USB

1x USB 2.0 Host

1x USB 3.0 Host

PCIe1x PCIe 2.1 Interface (1-lane)
DP

1x Mini DisplayPort (4K/30fps, 2-lane)

MIPI-CSI1x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector)
BT11201x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector)
Buttons

1x FPGA Reset Button

1x System Reset Button

LEDs

5x LEDs 

- 1x Power LED

- 4x Status LEDs (2 x Red, 2 x Green)

JTAG1x 6-pin 2.54mm pitch pin header
RTC1x RTC Battery Socket (AG2 or LR41 battery is recommended)
Expansion Interface

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.

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Download

File Name Type Size Download Links
FZ3 Card Overview pdf 1.04 MB download
Zynq Ultrascale+ Product Selection Guide pdf 675.97 KB download
FZ3 Card Pin Map pdf 45.33 KB download
3D Step Files of FZ3 Card.rar rar 9.17 MB download

Ordering

Single Board ComputersPACKING LISTWORKING TEMP.PRICEORDERING
MYS-ZU3EG-8E4D-EDGEFZ3 Card (without any accessories)-40~85℃

Inquire MYIR

MOQ50
MYS-ZU3EG-8E4D-EDGE-K2

* One FZ3 Deep Learning Accelerator Card
(Installed with active heatsink by default)
* One 12V/2A Power Adapter
* One Mini USB Cable
* One 16GB TF Card
* One Mini DP to HDMI Cable

-40~85℃USD399shopcar
ADD-ON OPTIONSDESCRIPTIONPRICEORDERING
2310100091/2310100065

Active heatsink for FZ3 Card (aluminum heatsink with fan and silicon pad)

USD19shopcar


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