FZ5 EdgeBoard AI Box
- 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
- 4 x USB 3.0, Gigabit Ethernet, RS232, RS485, CAN, Micro-SD, Mini DP, HDMI-IN, Debug (USB-UART) …
- 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 Baidu’s PaddlePaddle AI Framework
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We also offer ODM & OEM services, welcome your inquiry!
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The FZ5 EdgeBoard AI Box is a rugged and fanless AI edge computing box. With flexibility and
stability, algorithms and models, it is designed for data computing at the
edge. The computing of data takes place near the ‘edge’ of a network, where the
data is being developed, instead of in a centralized data-processing center.
On-device processing results in faster performance and response time, lower
latency, power efficiency, improved security by retaining data on the device,
and cost savings by minimizing data center transports. With a passive cooling enclosure design,
the FZ5
EdgeBoard AI Box is capable of
operating quietly in temperature ranging from -40°C to +70°C.
FZ5 EdgeBoard AI Box Front View
FZ5 EdgeBoard AI Box Rear View
The FZ5 EdgeBoard
AI Box is using Xilinx Zynq
UltraScale+ ZU5EV MPSoC solution. The
ZU5EV device 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. The Box has a mainboard FZ5 Card inside with memory
and storage capacities of 8GB DDR4, 32GB eMMC, 64MB QSPI Flash and
32KB EEPROM as well as a 32GB Micro SD card slot for
extension. It has exposed rich peripheral interfaces to the Box enclosure
including 4 x USB 3.0, Gigabit Ethernet, RS232,
RS485, CAN, Debug, HDMI
Input and Mini DisplayPort (DP).
FZ5 EdgeBoard AI Box
The FZ5 EdgeBoard AI Box 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. It can support
8- to 16-channel video decoding and 4- to 8-channel intelligent analysis and
can be used directly in many fields such as
multimedia, automotive ADAS, surveillance, industrial quality inspection,
medical diagnosis and more others with creation of customers’ own applications.
Its life cycle is as long as 10 years.
Software Architecture of FZ5 EdgeBoard AI Box
The FZ5 EdgeBoard AI Box has Computing Power up to 2.4TOPS
and can run at 55 FPS for ResNet-50 in actual measurement. Power consumption is
within 10W to 20W under typical working conditions. Measured data for some
models are shown as below:
Features
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Description
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SoC
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Xilinx Zynq UltraScale+ XCZU5EV-1SFVC784
(ZU5EV, 784 Pin Package) MPSoC
- 1.5 GHz 64 bit Quad-core
ARM® Cortex™-A53
- 600MHz Dual-core ARM® Cortex™-R5
processor
- ARM Mali™-400MP2 Graphics Processor
- H.264/H.265 Video Codec Unit (VCU)
- 16nm FinFET+ FPGA fabric
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Memory
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8GB
DDR4 SDRAM (64bit, 2400MHz)
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Storage
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32GB
eMMC
64MB
QSPI Flash
32KB
EEPROM
Micro
SD card slot
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Communications
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1 x 10/100/1000Mbps Ethernet Interface
4 x USB 3.0 Host Ports
1 x USB-UART Debug Interface
1 x RS232, 1 x RS485, 1 x CAN
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Display
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1 x HDMI Input Interface
1 x Mini DisplayPort (DP) Output Interface, 4K/30fps
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Others
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1 x System Reset Button
2 x LEDs (1 x Red Power LED, 1 x Green System Status LED)
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Power
supply
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DC 12V/3A
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Dimensions
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Body: 120mm x 100mm x 50mm
Hanger: 148mm x 100mm
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Working
Temp.
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-40°C ~+70°C
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Working humidity
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20% ~ 90%, non-condensing
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RTC
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If RTC function is needed, you may need to open the enclosure
and add the battery to the main board of the FZ5 EdgeBoard AI Box.
- 1 x 1.5V Non-Rechargeable RTC Battery Holder (battery is not provided by
default, Model AG3/LR41 is recommended, pluggable)
- 1 x 3V Rechargeable RTC Battery Interface (battery is not soldered by
default, Model MS621T is recommended, needs to be soldered)
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Software
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Supports PetaLinux
Supports Baidu’s PaddlePaddle
AI framework
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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
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FZ5 Card Overview
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1.22 MB
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2
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Zynq UltraScale+ MPSoC Product Selection Guide
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1.88 MB
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3
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FZ5 Card Schematic
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1.24 MB
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4
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FZ5 EdgeBoard AI Box Overview
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1.02 MB
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5
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EdgeBoard AI Box & Accelerator Card (FZ5) Hardware Manual V1.0.0
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3.37 MB
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6
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Baidu Brain EdgeBoard AI Box &Accelerator Card (FZ5) User Manual V1.0
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0.97 MB
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Price and Ordering
Item
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Packing List
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Unit Price
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Ordering
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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
- DC Power Adapter Cable
- One Mini USB Cable
- One 32GB TF Card
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USD789
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