Established in Israel in 2017 by members of the Israel Defense Forces elite technology unit, Hailo developed the worlds best performing AI processors for edge devices. As a leading AI chip company with worldwide business activities and world-leading partners in different domains, Hailos deep technology is set to transform the AI chip industry, putting new compute possibilities within reach. The AI processor is designed to fit into smart devices in various industries and use cases including automotive, smart cities, retail, and industry 4.0Hailos mission is to enable smart edge technologies reach their full potential. The solution Hailo presents bridges the gap between existing and future AI technologies and the compute capacity needed to power these applications. The company is focused on building AI processors efficient and compact enough to compute and interpret vast amounts of data in real-time processors that can be embedded in the edge devices themselves. Now, complicated AI applications that could previously only run on the cloud are made possible to run on the edge, and the best part with a fraction of the power consumption.
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AI Technology Stack
Hailo’s revolutionary architecture is a clean-slate approach to the design of a specialized technology stack. It has created a domain-specific processor that vastly outperforms the Von Neumann architecture for deep learning tasks.
Hailo’s Structure-Defined Dataflow Architecture. Hailo delivers multiple innovations, addressing the fundamental properties of neural networks:
Innovative control scheme based on a combination of hardware and software reaches very low joules/operation with a high degree of flexibility. Distributed memory fabric with purpose-built pipeline elements that allows very low-power memory access in neural network processing. Extremely efficient computational elements that can be applied variably, as needed.
Dataflow-oriented interconnect adapts to the structure of the neural network and allows high resource utilization. Hailo Dataflow Compiler – Full-stack software co-designed with the hardware architecture of the neural network processor enables efficient deployment of neural networks developed with seamless integration to existing frameworks.