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FPGA AI inference acceleration card MYS-ZU5EV-32E8D-EDGE-K1
Xilinx® Zynq® Ultrascale+™Arm® Cortex®-A53 Quad-coreembedded

FPGA AI inference acceleration card - MYS-ZU5EV-32E8D-EDGE-K1 - MYIR Electronics Limited - Xilinx® Zynq® Ultrascale+™ / Arm® Cortex®-A53 Quad-core / embedded
FPGA AI inference acceleration card - MYS-ZU5EV-32E8D-EDGE-K1 - MYIR Electronics Limited - Xilinx® Zynq® Ultrascale+™ / Arm® Cortex®-A53 Quad-core / embedded
FPGA AI inference acceleration card - MYS-ZU5EV-32E8D-EDGE-K1 - MYIR Electronics Limited - Xilinx® Zynq® Ultrascale+™ / Arm® Cortex®-A53 Quad-core / embedded - image - 2
FPGA AI inference acceleration card - MYS-ZU5EV-32E8D-EDGE-K1 - MYIR Electronics Limited - Xilinx® Zynq® Ultrascale+™ / Arm® Cortex®-A53 Quad-core / embedded - image - 3
FPGA AI inference acceleration card - MYS-ZU5EV-32E8D-EDGE-K1 - MYIR Electronics Limited - Xilinx® Zynq® Ultrascale+™ / Arm® Cortex®-A53 Quad-core / embedded - image - 4
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Characteristics

Bus standard
FPGA
Processor
Arm® Cortex®-A53 Quad-core, Xilinx® Zynq® Ultrascale+™
Other characteristics
embedded
Operating system
Linux

Description

The FZ5 AI Accelerator Card, powered by the Xilinx Zynq UltraScale+ MPSoC XCZU5EV, integrates a 4-core Cortex-A53 processor and cutting-edge FPGA technology. It boasts 2.4TOPS computing power, compatibility with 55 FPS ResNet-50, 8GB DDR4 memory, and 32GB eMMC storage. Featuring DP, USB, HDMI, and GigeNet interfaces, it supports 8-16 video decoding and 4-8 intelligent analysis channels. Its robust AI capabilities enable precise recognition of faces, bodies, animals, objects, text, logos, and customized scenarios. 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. 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.

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