The World’s Top Performing AI Processor for Edge Devices

Hailo offers a breakthrough AI processor uniquely designed to accelerate embedded deep learning applications on edge devices.

Reimagined AI Processor Architecture

Hailo’s holistic solution redefines the traditional pillars of embedded computer architecture; memory, control, compute and the relations between them. By designing an AI hardware architecture that relies purely on the core properties of neural networks, edge devices can now run deep learning applications at full scale more efficiently, effectively, and sustainably than traditional solutions.

  • AI
  • Higher Precision
  • Flexible Programming
  • Rapid Development


Delivering unprecedented AI performance in low power and small size

Higher Precision

Processing high resolution streams capabilities, extracting the most out of high end sensors

Flexible Programming

Fully programmable AI accelerator chip backed by a comprehensive SDK that supports the operation of the neural network of your choice

Rapid Development

Software stack seamlessly integrates with existing ML development frameworks​



New capabilities unfold when AI compute potential is reached. Hailo’s unmatched AI processor performance inspires diverse workloads across multiple industries. 

Breathe life into your edge products with the Hailo-8™ AI processor


AI chipmaker Hailo collaborates with Renesas to enable automotive customers to seamlessly scale from ADAS to automated driving
June 27, 2022
MooVita Intros Latest ADAS Innovations in Its MooBox Technology, Powered by Hailo AI Chip
June 14, 2022
PCIe AI accelerator cards powered by Hailo-8 AI processors
June 1, 2022
alwaysAI® Partners with AI Chipmaker Hailo to Power Next-Gen AI Applications at the Edge
May 16, 2022
IT News Line
Axiomtek’s eBOX Series of Embedded Systems Now Support the Hailo-8™ Edge AI Modules
May 13, 2022
Lanner Electronics Launches Falcon H8 PCIe AI Accelerator Card, Powered by Hailo-8 AI Processors
May 10, 2022

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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.

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