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Development Environment

Xilinx SDSoC (1)

Solutions

MYD-Y6ULX-CHMI (i.MX 6UL/6ULL) (1)

MY-EVC5100S-HMI (TI AM335x) (1)

FZ5 EdgeBoard AI Box (Xilinx ZU5EV) (1)

Single Board Computers

MYS-6ULX (NXP i.MX 6UL/6ULL) (2)

Rico Board (TI AM437x) (1)

FZ5 Card (Xilinx ZU5EV) (1)

FZ3 Card (Xilinx ZU3EG) (1)

Z-turn Board (Xilinx Zynq-7010/20) (1)

Z-turn Lite (Xilinx Z-7007S/7010) (1)

MYS-SAM9X5 (Atmel SAM9X5) (1)

MYS-SAM9G45 (Atmel SAM9G45) (1)

MYS-S5PV210 (Samsung S5PV210) (1)

CPU Modules

MYC-CZU3EG/4EV (ZU3EG/4EV) (1)

MYC-Y7Z010/20 (Zynq-7010/20) (1)

MYC-C7Z010/20 (Zynq-7010/20) (1)

MYC-C7Z015 (Xilinx Zynq-7015) (1)

MYC-YA157C (ST STM32MP157A) (1)

MYC-C8MMX (NXP i.MX 8M Mini) (1)

MYC-JX8MX (NXP i.MX8M) (1)

MYC-Y6ULX (NXP i.MX 6UL/6ULL) (1)

MYC-IMX28X (NXP i.MX28) (1)

MYC-C335X-GW (TI AM335x) (1)

MCC-AM335X-Y (TI AM335x) (1)

MYC-AM335X (TI AM335x) (1)

MCC-AM335X-J (TI AM335x) (1)

MYC-C437X (TI AM437x) (1)

MYC-SAMA5D3X (Atmel A5D3) (1)

MYC-JA5D4X (Atmel A5D4) (1)

MYC-JA5D2X (Atmel A5D2) (1)

MCC-SAMA5D3X-C (Atmel A5D3) (1)

MYC-SAM9X5 (Atmel SAM9X5) (1)

MYC-SAM9X5-V2 (Atmel SAM9X5) (1)

MYC-S5PV210 (Samsung S5PV210) (1)

MYC-Exynos4412 (Samsung) (1)

Development Boards

VECP Starter Kit (Xilinx ZU3EG) (1)

MYD-CZU3EG/4EV (ZU3EG/4EV) (1)

MYD-C7Z010/20 (Zynq-7010/20) (1)

MYD-Y7Z010/20 (Zynq-7010/20) (1)

MYD-C7Z015 (Xilinx Zynq-7015) (1)

MYD-IMX28X (NXP i.MX28) (1)

MYD-YA157C (ST STM32MP157A) (1)

MYD-Y6ULX (NXP i.MX 6UL/6ULL) (1)

MYD-JX8MX (NXP i.MX8M) (1)

MYD-C8MMX (NXP i.MX 8M Mini) (1)

MYD-Y6ULX-HMI (i.MX 6UL/6ULL) (1)

MYD-C335X-GW (TI AM335x) (1)

MYD-C437X (TI AM437x) (1)

MYD-AM335X-Y (TI AM335x) (1)

MYD-AM335X-J (TI AM335x) (1)

MYD-AM335X (TI AM335x) (1)

MYD-C437X-PRU (TI AM437x) (1)

MYD-JA5D4X (Atmel A5D4) (1)

MYD-SAMA5D3X-C (Atmel A5D3) (1)

MYD-SAMA5D3X (Atmel A5D3) (1)

MYD-JA5D2X (Atmel A5D2) (1)

MYD-SAM9X5 (Atmel SAM9X5) (1)

MYD-SAM9X5-V2 (Atmel SAM9X5) (1)

MYD-LPC185X (NXP LPC185x) (2)

MYD-LPC435X (NXP LPC435x) (2)

MYD-LPC1788 (NXP LPC1788) (1)

Add-on Options

Z-turn IO Cape (for Z-turn Board) (1)

Z-turn Lite IO Cape (for Z-turn Lite) (1)

MYD-Y7Z010/20 IO Cape (1)

MYB-Y6ULX-HMI-4GEXP (1)

MYB-6ULX (for MYS-6ULX) (1)

MY-LCD43TP LCD Module (1)

MY-LCD70TP LCD Module (1)

MY-LCD70TP-C LCD Module (1)

MY-LVDS070C LCD Module (1)

MY-WF003U USB WiFi Module (1)

MY-WF004S SDIO WiFi Module (1)

MY-CAM002U Camera Module (1)

MY-CAM011B BUS Camera Module (1)

MY-UART012U Convertor (1)

MY-CAM003M Camera Module (1)

MY-SODIMM200 Socket (1)

MY-ZB010C ZigBee Module (1)

MY-ZB010C-E ZigBee EVM (1)

    Product Updates
          Products >  Single Board Computers >  FZ5 Card (Xilinx ZU5EV) > FZ5 Card – AI Accelerator Card
 
FZ5 Card – AI Accelerator Card

FZ5 Card – AI Accelerator Card

- Xilinx Zynq UltraScale+ ZU5EV MPSoC based on 1.5 GHz Quad Arm Cortex-A53 and 600MHz Dual Cortex-R5 Cores
- 4GB/8GB DDR4 SDRAM (64-bit, 2400MHz)
- 32GB eMMC Flash, 64MB QSPI Flash, 32KB EEPROM
- RS232, RS485, 4 x USB 3.0, Gigabit Ethernet, CAN, TF, DP, HDMI-IN, JTAG…
- Computing Power up to 2.4TOPS, Runs at 55 FPS for ResNet-50
- Supports 8- to 16-channel Video Decoding and 4- to 8-channel Intelligent Analysis
- Supports Running PetaLinux
- Supports Baidu’s PaddlePaddle AI Framework
 


The FZ5 Card is an excellent Artificial Intelligence (AI) accelerator card based on Xilinx Zynq UltraScale+ ZU5EV MPSoC which features a 1.5 GHz quad-core ARM Cortex-A53 64-bit application processor, a 600MHz dual-core real-time ARM Cortex-R5 processor, a Mali400 embedded GPU, a H.264/H.265 Video Codec Unit (VCU) and rich FPGA fabric. It has computing power up to 2.4TOPS and can be seamlessly used with 55 FPS ResNet-50 backbone networks.


Besides, the FZ5 Card has integrated 4GB/8GB DDR4, 32GB eMMC, 64MB QSPI Flash and 32KB EEPROM as well as many peripheral interfaces including RS232, RS485, 4 x USB 3.0, Gigabit Ethernet, CAN, TF, DisplayPort (DP), HDMI-IN, USB-UART, JTAG, IO expansion interfaces, etc . It is easy for your secondary development or used for your AI box or many other embedded designs.


FZ5 Card Top View (delivered with active heat sink by default)



FZ5 Card Bottom View


The FZ5 Card is able to run PetaLinux and supports PaddlePaddle 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.


MYIR also offers an FZ5 EdgeBoard AI Box for the FZ5 Card which has a rugged and fanless enclosure to enable efficient development for many embedded vision applications such as multimedia, automotive ADAS, surveillance, industrial quality inspection, medical diagnosis, etc. The device can support -40 to 70 Celsius degree extended working temperature with small size and good stability. It has powerful AI capabilities to provide massive and iterative models to realize the image recognition of face, human body, animal, object, text, logo and various customized scenes.


FZ5 EdgeBoard AI Box Front View



FZ5 EdgeBoard AI Box Rear View

Features

Description

Dimensions

107mm x 96mm (14-layer PCB design)

Power supply

DC 12V/3A

Working Temp.

-40~85 Celsius

SoC

Xilinx Zynq UltraScale+ XCZU5EV-2SFVC784I (ZU5EV, 784 Pin Package) MPSoC

- 1.5 GHz 64 bit Quad-core ARM® Cortex™-A53 Application Processing Unit

- 600MHz Dual-core ARM® Cortex™-R5 Real-time Processing Unit

- ARM Mali™-400 MP2 Graphics Processing Unit (GPU)

- H.264 and H.265 Video Codec Unit (VCU)

- 16nm FinFET+ FPGA fabric

Memory

4GB/8GB DDR4 (64bit, 2400MHz)

Storage

32GB eMMC

64MB QSPI Flash

32KB EEPROM

1 x TF card interface

Communications

1 x RS232

1 x RS485

1 x CAN interface

1 x 10/100/1000 Mbps Ethernet

4 x USB 3.0 Host

1 x USB-UART debug interface

Display

1 x HDMI In port

1 x Mini DisplayPort (DP), 4K/30fps

RTC

1 x 3V Rechargeable RTC Battery Interface (battery is not soldered by default, Model MS621T is recommended)

1 x 1.5V Non-Rechargeable RTC Battery Holder (battery is not provided by default, Model AG3 or LR41 is recommended)

User I/O

1 x FPC_40PIN (Reserved for MIPI-CSI)
1 x 1.27mm pitch 2 x 50-pin IO Expansion Interface (5 x PS_MIO, 69 x PL_IO)

Others

1 x 2.54mm pitch 6-pin JTAG interface

2 x Buttons (1x FPGA Reset, 1 x System Reset)

5 x LEDs (Power LED: 1 x RED; Status LED: 2 x RED, 2 x Green)

Software

Supports Running PetaLinux

Supports Baidu's PaddlePaddle AI Framework

Target Applications

Evaluation and Prototyping for XCZU5EV Zynq UltraScale+ MPSoC

Intelligent Security

Industrial Testing

Medical Diagnosis

UAV Inspection

Scientific Research

Consumer Electronics

Driverless Technology

Features of FZ5 Card


Other MYIR's Xilinx Products

http://www.myirtech.com/xilinxseries.asp

FZ3 Card - deep learning accelerator card (based on Xilinx Zynq UltraScale+ ZU3EG MPSoC)

Z-turn Board Single Board Computer (based on Zynq-7010 / 7020)

Z-turn Lite Single Board Computer (based on Zynq-7007S / Zynq-7010)

MYD-C7Z015 Development Board (MYC-C7Z015 CPU Module as core board)

MYD-Y7Z010/20 Development Board (MYC-Y7Z010/20 CPU Module as core board)

MYD-C7Z010/20 Development Board (MYC-C7Z010/20 CPU Module as core board)

MYD-CZU3EG Development Board (MYC-CZU3EG CPU Module as core board)

MYD-CZU4EV Development Board (MYC-CZU4EV CPU Module as core board)

VECP Starter Kit - a complete Vision Edge Computing Platform (based on Xilinx Zynq UltraScale+ ZU3EG MPSoC)





Hardware Features

Zynq® UltraScale+™ MPSoC devices provide 64-bit processor scalability while combining real-time control with soft and hard engines for graphics, video, waveform, and packet processing. Built on a common real-time processor and programmable logic equipped platform, three distinct variants include dual application processor (CG) devices, quad application processor and GPU (EG) devices, and video codec (EV) devices.

Zynq UltraScale+ MPSoCs

The Zynq UltraScale+ family provides footprint compatibility to enable users to migrate designs from one device to another. Any two packages with the same footprint identifier code (last letter and number sequence) are footprint compatible. MYIR is using the XCZU5EV-2SFVC784I MPSoC for FZ5 Card by default, the C784 package covers the widest footprint compatibilities that enable users to select devices among CG, EG and EV.


Zynq UltraScale+ MPSoC Device Migration Table

The main features for the MPSoC devices are summarized as below.

Device

XCZU2CG

XCZU3CG

XCZU3EG

XCZU4EV

XCZU5EV

Logic cells (k)

103

154

154

192

256

CLB Flip-Flops (K)

94

141

141

176

234

CLB LUTs (K)

47

71

71

88

117

Block RAM (Mb)

5.3

7.6

7.6

4.5

5.1

UltraRAM (Mb)

-

-

-

13.5

18.0

DSP Slices

240

360

360

728

1,248

GTX transceivers

PS-GTR4x (6Gb/s)

PS-GTR4x (6Gb/s)

PS-GTR4x (6Gb/s)

PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s)

PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s)

Processor Units

Application Processor Unit

Dual-core ARM® Cortex™-A53 MPCore™ up to 1.3GHz

Quad-core ARM® Cortex™-A53 MPCore™ up to 1.5GHz

Memory w/ECC

L1 Cache 32KB I / D per core, L2 Cache 1MB, on-chip Memory 256KB

Real-Time Processor Unit

Dual-core ARM Cortex-R5 MPCore™ up to 600MHz

Memory w/ECC

L1 Cache 32KB I / D per core, Tightly Coupled Memory 128KB per core

Graphics Processing Unit

-

-

Mali™-400 MP2 up to 667MHz

Video Codec

-

-

-

H.264 / H.265

Memory L2 Cache

64KB

External Memory, Connectivity, Integrated Block Functionality

Dynamic Memory Interface

x32/x64: DDR4, LPDDR4, DDR3, DDR3L, LPDDR3 with ECC

Static Memory Interfaces

NAND, 2x Quad-SPI

High-Speed Connectivity

PCIe® Gen2 x4, 2x USB3.0, SATA 3.1, DisplayPort, 4x Tri-mode Gigabit Ethernet

General Connectivity

2 x USB 2.0, 2 x SD/SDIO, 2 x UART, 2 x CAN 2.0B, 2 x I2C, 2 x SPI, 4 x 32b GPIO

Power Management

Full / Low / PL / Battery Power Domains

Security

RSA, AES, and SHA

AMS - System Monitor

10-bit, 1MSPS – Temperature and Voltage Monitor


Zynq UltraScale+ MPSoC Device Selection Guide



Dimensions of FZ5 Card






Software Features

The FZ5 Card is able to run PetaLinux 2019.1 and supports PaddlePaddle 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.


Baidu Brain’s AI development tools



Software Architecture of FZ5 Card







Relative Download and Links


You can download relative chip datasheet, products datasheet, user manual, software package from below. Detailed technical data available on request.


1 FZ5 Card Overview 1.12 MB
2 Zynq UltraScale+ MPSoC Product Selection Guide 1.88 MB
3 FZ5 Card Schematic 1.24 MB
4 FZ5 EdgeBoard AI Box 910 KB

FZ5 Card Top View (delivered with active heat sink by default)



FZ5 Card Top View


FZ5 Card Bottom View



Price and Ordering

Item

Packing List

Unit Price

Ordering

FZ5C Card

(Part No.: MYS-ZU5EV-32E4D-EDGE-K1)

-One FZ5 Card (Installed with active heatsink by default)

- One 12V/3A Power Adapter

- One DC Power Adapter Cable

One Mini USB Cable

- One 32GB TF Card

USD699

FZ5D Card

(Part No.: MYS-ZU5EV-32E8D-EDGE-K1)

USD759

FZ5C EDGE AI BOX

(Part No.: MYS-ZU5EV-32E4D-EDGE-BOX)

- One FZ5 EDGE AI BOX

- One 12V/3A Power Adapter

- One DC Power Adapter Cable

- One Mini USB Cable

- One 32GB TF Card

USD729

FZ5D EDGE AI BOX

(Part No.: MYS-ZU5EV-32E8D-EDGE-BOX)

USD789

Note: Please contact MYIR to get development package (including documentations and software BSP) download link after placing your order.








 

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