Designed for CubeSat-class platforms, the unit supports CAN, I²C, SPI, LVDS, and RS-232 interfaces. Fully compatible with ProtoSDK, it enables fast, low-friction deployment of AI models to FPGA hardware.
Run AI models onboard for real-time inference and detection.
PC/104 form factor for easy CubeSat integration and stacking.
Optimized for efficient processing in compact, power-limited platforms.
Kria K26 (Zynq UltraScale+) enables software-defined hardware acceleration.
Currently in development, the DPU is built for space-readiness—combining prototyping agility with a clear path to flight qualification.
| Feature | Value |
|---|---|
|
FPGA Device |
AMD Zynq UltraScale+ MPSoC |
|
Dimensions |
94 x 89 mm (Fits PC/104 standard) |
|
Interfaces |
CAN, I2C, SPI, LVDS, RS232 |
|
Connectors |
PC/104 4×26 stackable connector 4× PMOD connectors JTAG header 2× 15-pin CSI camera connectors 14 PIN MOLEX UART debug connector |
|
Other Features |
Micro SD card slot 4× boot mode selector switches 12V active cooling with PWM control |
|
Power Supply |
12V @ 3A via 5.5 x 2.1 mm barrel jack |
|
Power Consumption |
~9–14 W |
Let’s create the future together.
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