Klepsydra SDK is a powerful software tool that allows algorithms to be optimised for use in small edge devices and real-time applications. Compatible with a wide range of computers on the market, Klepsydra can significantly enhance the performance of algorithms by reducing processor power consumption while processing up to 10 times more data. This translates into a more efficient and cost-effective solution for data-intensive applications, with potential energy savings of up to 75%.
Klepsydra AI is an advanced AI inference engine solution that enables running pre-trained AI/ML models on edge devices for real-time applications. It is compatible with most computers available in the market, making it a versatile option for a wide range of applications.
Klepsydra AI is designed to process up to six times more data than leading competitors, while reducing processor power consumption by up to 50%. This means that not only can it handle more data, but it does so more efficiently, making it an ideal solution for power-restricted environments.
Algorithm GPU Streaming
Klepsydra has recently launched a powerful software product for GPU programming called Klepsydra GPU
Streaming. Built on the foundation of the Klepsydra SDK, this solution provides efficient and easy-to-use GPU programming capabilities. It is compatible with most NVIDIA boards.
With Klepsydra GPU Streaming, the occupancy problem is solved with remarkable efficiency. Its intelligent approach to increasing occupancy has led to outstanding benchmarks when applied to large matrix multiplications. In fact, the solution has been shown to significantly increase the performance of GPU algorithms.
Klepsydra GPU Streaming is programmed using a simple C++/CUDA interface, making it easy for developers to integrate it into their existing workflows. Overall, this solution provides a powerful and efficient tool for GPU programming that is accessible to a wide range of users.
The Klepsydra Robotic Toolkit is a powerful suite of three plugins designed specifically for robotics applications. These plugins include the ROS plugin, ROS2 plugin, and OpenCV optimiser. Each plugin provides unique benefits that help optimise robotics applications for
With the Klepsydra Robotic Toolkit, sensor data can be processed without losses, ensuring that critical information is never missed. Additionally, the toolkit is designed to reduce CPU power consumption, which is especially important in power-restricted environments. And with minimal integration effort required, the toolkit is easy to implement in existing robotics workflows.
The ROS plugin and ROS2 plugin are both designed to enhance the performance of robotics applications using the ROS framework. These plugins provide additional functionality and improved performance over the standard ROS implementation. Meanwhile, the OpenCV optimiser is specifically designed to optimise the performance of computer vision applications.