Leopard is a Data Processing Unit which enables mission designers to apply:
Apply Artificial Intelligence solutions in nano and small satellites.
Support the capturing, managing and processing of data in orbit.
Leopard redefines the current approach to remote sensing. Now, instead of sending huge, unprocessed sets of data to ground stations, Leopard uses Deep Neural Networks to process data on-board and therefore only sends the most important and valuable insights to the ground. By reducing the time and cost of data transfer and processing, it enables you to focus on a rapid response to any detected phenomena.
Leopard is integrated with the powerful FPGA to accelerate the execution of deep learning algorithms and has a throughput of 1200 Giga Operations Per Second. A number of hardware and software measures protect the computer against the influence of radiation.
With its small size (1U form factor), wide voltage range and universal interfaces, it is compatible with most CubeSat platforms. Its scalable architecture makes it possible to create larger and more powerful versions dedicated to bigger platforms as well.
Huge processing power in a small form-factor
Powerful FPGA to accelerate the execution of deep learning algorithms.
Artificial Intelligence available on board
Processing data directly in orbit using Deep Neural Networks and ML libraries such as Cafe or TensorFlow
Freedom, flexibility and security
Open-source operating system (Linux), support of multiple Neural Network models, single-cell memory and rad-tolerant design