Hailo AI Software Suite

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Hailo devices are accompanied by a comprehensive AI software suite that enables the compilation of deep learning models and the implementation of AI applications in production environments. The model build environment seamlessly integrates with common ML frameworks to allow smooth and easy integration in existing development ecosystems. The runtime environment enables integration and deployment in host processors, such as x86 and ARM based products, when utilizing Hailo-8™, and in Hailo-15™ vision processor.

Hailo Software Suite includes the following key components

Model Build Environment

Model Build Computer

Machine Learning Frameworks

User Models

Hailo Model Zoo

Hailo Dataflow Compiler

Model Zoo, a variety of common and state-of-the-art pre-trained models and tasks in TensorFlow and ONNX.

Hailo Dataflow Compiler, for offline compilation and optimization of user’s models for Hailo devices

Runtime Environment

AI Accelerator AI Vision Processor

Host processor

User Applications

TAPPAS

Application Examples

Hailo RT

OS IP Stack

Hailo-8™ Device

Hailo-8™ Firmware

Hailo TAPPAS, set of full application examples, implementing pipeline elements and pre-trained AI tasks

HailoRT production-grade and light runtime software package, running on the host processor for real-time inferencing the deep learning models compiled by the Dataflow Compiler

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EU Research and Innovation Program

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This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 849921

This project has received funding from the European Union’s Horizon 2020.