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Products > Single Board Computers > FZ5 Card (Xilinx ZU5EV) > FZ5 Card – AI Accelerator Card |
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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
- 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
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MYIR is a Xilinx Alliance Member, welcome to use MYIR's Xilinx products!
We also offer ODM & OEM services, welcome your inquiry!
http://www.myirtech.com/xilinxseries.asp
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 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 2019.1 and provided with complete Linux BSP. It can also 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
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Features
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Description
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Dimensions
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107mm
x 96mm (14-layer PCB design)
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Power
supply
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DC
12V/3A
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Working
Temp.
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-40~85 Celsius
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SoC
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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
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Memory
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8GB
DDR4 (64bit, 2400MHz)
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Storage
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32GB
eMMC
64MB
QSPI Flash
32KB
EEPROM
1 x TF
card interface
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Communications
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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
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Display
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1 x HDMI In port
1 x Mini DisplayPort (DP), 4K/30fps
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RTC
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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)
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User
I/O
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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)
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Others
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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)
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Software
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Supports Running PetaLinux
Supports Baidu's PaddlePaddle AI Framework
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Target Applications
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Evaluation and Prototyping for XCZU5EV Zynq UltraScale+ MPSoC
Intelligent Security
Industrial Testing
Medical Diagnosis
UAV Inspection
Scientific Research
Consumer Electronics
Driverless Technology
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Features of FZ5 Card
Other MYIR's Xilinx Products
http://www.myirtech.com/xilinxseries.asp
Z-turn Lite Single Board Computer (based on Zynq-7010)
Z-turn Board V2 Single Board Computer (based on Zynq-7010 / Zynq-7020)
MYD-C7Z015 Development Board (MYC-C7Z015 CPU Module as core board, Zynq-7015)
MYD-Y7Z010/20-V2 Development Board (MYC-Y7Z010/20-V2 CPU Module as core board, Zynq-7010 / 7020)
MYD-C7Z010/20-V2 Development Board (MYC-C7Z010/20-V2 CPU Module as core board, Zynq-7010 / 7020)
MYD-CZU3EG/4EV/5EV-V2 Development Board (MYC-CZU3EG/4EG/5EV-V2 CPU Module as core board, ZU3EG/4EV/5EV)
FZ3 Card - deep learning accelerator card (based on Xilinx Zynq UltraScale+ ZU3EG MPSoC)
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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.
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Device
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XCZU2CG
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XCZU3CG
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XCZU3EG
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XCZU4EV
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XCZU5EV
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Logic cells (k)
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103
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154
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154
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192
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256
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CLB Flip-Flops (K)
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94
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141
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141
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176
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234
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CLB LUTs (K)
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47
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71
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71
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88
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117
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Block RAM (Mb)
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5.3
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7.6
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7.6
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4.5
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5.1
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UltraRAM (Mb)
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-
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-
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-
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13.5
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18.0
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DSP Slices
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240
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360
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360
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728
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1,248
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GTX transceivers
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PS-GTR4x (6Gb/s)
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PS-GTR4x (6Gb/s)
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PS-GTR4x (6Gb/s)
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PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s)
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PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s)
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Processor Units
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Application Processor Unit
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Dual-core ARM® Cortex™-A53 MPCore™ up to 1.3GHz
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Quad-core ARM® Cortex™-A53 MPCore™ up to 1.5GHz
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Memory w/ECC
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L1 Cache 32KB I / D per core, L2 Cache 1MB, on-chip Memory 256KB
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Real-Time Processor Unit
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Dual-core ARM Cortex-R5 MPCore™ up to 600MHz
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Memory w/ECC
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L1 Cache 32KB I / D per core, Tightly Coupled Memory 128KB per core
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Graphics Processing Unit
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-
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Mali™-400 MP2 up to 667MHz
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Video Codec
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-
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-
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H.264 / H.265
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Memory L2 Cache
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64KB
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External Memory, Connectivity, Integrated Block Functionality
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Dynamic Memory Interface
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x32/x64: DDR4, LPDDR4, DDR3, DDR3L, LPDDR3 with ECC
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Static Memory Interfaces
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NAND, 2x Quad-SPI
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High-Speed Connectivity
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PCIe® Gen2 x4, 2x USB3.0, SATA 3.1, DisplayPort, 4x Tri-mode Gigabit Ethernet
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General Connectivity
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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
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Power Management
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Full / Low / PL / Battery Power Domains
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Security
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RSA, AES, and SHA
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AMS - System Monitor
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10-bit, 1MSPS – Temperature and Voltage Monitor
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Zynq UltraScale+ MPSoC Device Selection Guide
Dimensions of FZ5 Card
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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.
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Item
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Features
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Description
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Source code provided
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Tool chains
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gcc8.2.0
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gcc version 8.2.0
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gcc 5.2.1
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gcc version 5.2.1 (Linaro GCC 5.2)
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Bootloader
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boot.bin
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First boot program including FSBL and u-boot2019.01
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Yes
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Linux Kernel
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Linux 4.19.0
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Customized kernel for FZ5 Card
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Yes
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USB2.0/3.0 Host
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USB2.0/3.0
Host driver
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Yes
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Ethernet
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Gigabit
Ethernet driver
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Yes
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MMC/SD/TF
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MMC/SD/TF
card driver
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Yes
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Qspi flash
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Qspi
flash driver
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Yes
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CAN
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CAN
driver
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Yes
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DP
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DP
driver
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Yes
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I2C
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I2C
driver
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Yes
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UART
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UART driver
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Yes
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Watchdog
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Watchdog
driver
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Yes
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GPIO
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GPIO
driver
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Yes
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LED
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LED
driver
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Yes
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Button
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Button
driver
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Yes
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RTC
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RTC
driver
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Yes
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HDMI
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HDMI
IN driver
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Yes
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Application
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HDMI
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HDMI
IN example
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Yes
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CAN
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CAN
example
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Yes
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Net
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Socket
example
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Yes
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File system
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Ramdisk
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Ramdisk
System Image
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Rootfs
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Buildroot
making including Qt
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Yes
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Petalinux
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Petalinux2019.1
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Supports Xilinx Petalinux2019.1 development tools. MYIR provides
complete BSP for the FZ5 card.
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Baidu Brain’s AI development tools
Software Architecture of FZ5 Card
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FZ5 Card Top View (delivered with active heat sink by default)
FZ5 Card Top View
FZ5 Card Bottom View
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Price and Ordering
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Item
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Packing List
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Unit Price
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Ordering
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FZ5C Card
(Part No.: MYS-ZU5EV-32E8D-EDGE-K1)
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-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
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Please inquire MYIR
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FZ5C EdgeBoard AI Box
(Part No.: MYS-ZU5EV-32E8D-EDGE-BOX)
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- One FZ5 EDGE AI BOX
- One 12V/3A Power Adapter
- One DC Power Adapter Cable
- One Mini USB Cable
- One 32GB TF Card
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USD789
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Note: Please contact MYIR to get development package (including documentations and software BSP) download link after placing your order.
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Overview
