Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor Core | Quad-core ARM Cortex-A53 MPCore up to 1.5 GHz |
| FPGA Logic Cells | Approximately 248,000 System Logic Cells |
| Memory | 2GB DDR4 SODIMM (Expandable) |
| Storage | 16GB eMMC Flash + MicroSD Card Slot |
| Connectivity | Gigabit Ethernet, USB 3.0, USB 2.0, UART |
| Video Output | HDMI 2.0 and DisplayPort 1.4 |
| Expansion Interfaces | FMC Mezzanine Connector, Arduino Header, Raspberry Pi HAT Compatible |
| AI Acceleration | Optimized for Xilinx Vitis AI and Deep Learning Workloads |
| Power Supply | 12V DC Input via Barrel Jack or USB-C PD |
| Operating Temperature | Industrial Grade: -40°C to +100°C |
Anonymous
Mar 20, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This board is exactly what I needed for deploying computer vision models at the edge. The Vitis AI integration was smooth, and the performance on the Zynq UltraScale+ architecture is impressive. Documentation could be slightly better, but the community support fills the gaps.
Anonymous
Mar 15, 2026
Rating: 5/5
Industrial grade reliability
We deployed ten of these units in a factory setting for real-time defect detection. They have been running 24/7 for three months without a single hitch. The industrial temperature rating gives us great peace of mind.
Anonymous
Mar 09, 2026
Rating: 5/5
Great value for research
As a university researcher, this board offers an incredible price-to-performance ratio for heterogeneous computing studies. The ability to run Linux on the PS side while accelerating algorithms on the PL side is seamless.
Anonymous
Mar 02, 2026
Rating: 5/5
Exceeded expectations for robotics
Using this for a autonomous rover project. The low latency between the camera interfaces and the processing logic is crucial for our navigation stack. Highly recommend for anyone doing serious robotics work.
Anonymous
Mar 02, 2026
Rating: 4/5
Powerful but steep learning curve
Hardware quality is top-notch with excellent connectivity options. However, if you are new to FPGA development, be prepared for a significant learning curve regarding the toolchain setup. Once running, it handles multi-camera inputs effortlessly.
Anonymous
Mar 02, 2026
Rating: 4/5
Solid hardware, software needs patience
The board itself is fantastic with plenty of I/O headers for custom sensors. Setting up the Petalinux build took some time, but once the base image was configured, adding custom IP blocks was straightforward.
Q: Does this board come with a pre-installed SD card image?
A: Yes, the board includes a 16GB microSD card with a pre-configured PetaLinux image and basic Vitis AI examples to get you started immediately.
Q: Is there active cooling required for high-load AI tasks?
A: The board comes with a passive heatsink which is sufficient for most workloads. For sustained heavy AI inference at maximum clock speeds, we recommend adding a small fan to the enclosure for optimal thermal management.
Q: Can I use standard Raspberry Pi HATs with this board?
A: The board features a 40-pin GPIO header compatible with many Raspberry Pi HATs physically, but please note that driver compatibility depends on the specific HAT and requires Linux device tree configuration.
Q: Does it support dual 4K display output simultaneously?
A: Yes, the Zynq UltraScale+ MPSoC on this board supports simultaneous output via HDMI 2.0 and DisplayPort 1.4, allowing for dual 4K resolution at 60Hz.
Q: What version of Vivado is required for development?
A: This board is fully supported by Vivado 2023.2 and later versions. We recommend using the latest stable release for the best IP core compatibility and bug fixes.
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