
Klepsydra High-Performance Software Framework
Klepsydra Technologies
High performance deep neural network (DNN) engine for space craft computers to deploy any AI or machine learning model on any type of processor, including CPU-only.
Klepsydra in-the-Loop
Allows to include hardware performance into model training and optimise for performance parameters such as power consumption, latency, RAM etc become part of the training data, thus adding another dimension to AI@Edge training
Requires Klepsydra High-Performance Software Framework to run
Parameter | Value |
---|---|
Lead Time | 2 to 3 weeks |
Operating System | Linux |
Operating System | FreeRTOS |
Operating System | PikeOS |
Supported Processors | ARMv8 |
Supported Processors | ARM Cortex A7 |
Supported Processors | ARM Cortex A9 |
Minimum RAM Usage | 250 Mb |
Disk Space Usage | 10 Mb |
Supported Languages | C++ |
Supported Languages | C |
Supported Languages | NodeJS |
Supported Languages | Python |
Supported Model Format | ONNX |
Supported Model Format | TensorFlow |
Supported Model Format | Caffe |
Supported Data Format | Float matrices |
Supported Data Format | time series |
Supported Data Format | OpenCV matrix objects (cvMat) |
High performance deep neural network (DNN) engine for space craft computers to deploy any AI or machine learning model on any type of processor, including CPU-only.
Klepsydra in-the-Loop
Allows to include hardware performance into model training and optimise for performance parameters such as power consumption, latency, RAM etc become part of the training data, thus adding another dimension to AI@Edge training
Requires Klepsydra High-Performance Software Framework to run