Leopard is a CubeSat standard compliant Data Processing Unit which enables mission designers to apply Artificial Intelligence solutions in space. It was designed to support capturing, managing and processing of data in orbit. Leopard uses Deep Neural Networks to process data on-board and therefore only the most important and valuable insights to are sent to the ground, reducing the time and cost of data transfer and processing.

Leopard is integrated with an FPGA to accelerate execution of deep learning algorithms and has a throughput of up to 3 Tera Operations Per Second. A number of hardware and software measures protect the computer against the influence of radiation.

With its capabilities-to-size ratio (less than 1U), wide supply voltage range and universal interfaces, it is compatible with most CubeSats platforms. Its scalable and customisable architecture makes it possible to create larger and more powerful versions dedicated to bigger platforms as well. Leopard is a part of Smart Mission Ecosystem – hardware, software and AI-powered algorithms designed to complete your mission.

The video below is a presentation by KP Labs from the 2021 satsearch webinar: "a guide to advanced data processing and AI for satellite missions". For more information about the webinar, and to see footage of the entire event, please click here here

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Last updated: 2023-11-18

Leopard - Data Processing Unit for AI applications




lead time1
4 to 9 mo
data interface
SpaceWire (upon request)
Ethernet (upon request)
power consumption
7.5 W to 40 W (depending on workload and specified processing speed)
supply voltage
6.5 to 14 V (VBAT)
4 to 16 GB DDR4 providing with ECC
data storage
4 to 16 GB flash-based file system storage (EDAC)
Up to 2x256 GB SLC flash-based data storage
processing cores
Quad ARM Cortex-A53 CPU up to 1.5 GHz
Dual ARM Cortex-R5 in lock-step
FPGA for custom function implementation

1. Depending on version and customization requirements.


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