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.
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Let’s create the future together.
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