MYIR Introduces Zynq UltraScale+ MPSoC Based FZ3 Card for Deep Learning

July 2, 2020 Tiera Oliver

MYIR introduced a FZ3 Card for deep learning. Built around the Xilinx Zynq UltraScale+ ZU3EG MPSoC, with Computing Power up to 1.2TOPS and MobileNet up to 100FPS, the FZ3 Card is an ideal machine learning hardware for developers to develop, validate, or integrate it into their end artificial intelligence (AI) products.

The FZ3 Card (with installed radiator) has the size of 100mm by 70mm, integrated with 4GB DDR4, 8GB eMMC, 32MB QSPI Flash and 32KB EEPROM, peripherals are routed out on board including USB 2.0, USB 3.0, Gigabit Ethernet, TF, DisplayPort (DP), PCIe interface, MIPI-CSI, BT1120 camera, USB-UART, JTAG, and IO expansion interfaces.

The Card is also provided with software resources. It is able to run PetaLinux 2019.1, and is compatible to use Baidu Brain's AI development tools like EasyDL, AI Studio, and EasyEdge, which makes ideal for developers to leverage Baidu-proven technology or deploy self-defined models. Typical applications of the FZ3 Card are AI camera, AI computing device, robotics, intelligent car, intelligent electronic scale, patrol UAV, and other embedded intelligent applications.

MYIR provides FZ3 Kit as a whole development kit, it contains the FZ3 Card and  necessary accessories including one 12V/2A power adaptor, one 16GB TF card, one mini USB cable, and one mini DP to HDMI cable. The FZ3 Kit is priced at $259/unit.

For more information, visit:

About the Author

Tiera Oliver, edtorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

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