Hailo

High-performance AI processors for edge devices, enabling efficient deep learning, computer vision, and generative AI capabilities in various industries.
Edge Computing Artificial Intelligence Computer Vision Industrial Automation Autonomous Vehicles

Hailo has a line of high-performance AI processors that can run deep learning software on edge devices. Its AI accelerator chips can be used for smart city and smart home applications, machine learning, automotive AI, retail AI and industrial automation.

The company's products span a range of uses:

  • AI Vision Processors: The Hailo-15 family of products combines AI inferencing with computer vision engines for high-quality video processing and analytics.
  • AI Accelerators: The Hailo-8 AI accelerator lets edge devices run deep learning software efficiently, taking advantage of the fundamental nature of neural networks.
  • Generative AI Accelerators: These small accelerators handle transformer models and LLMs, good for personal computers and cars.

Hailo's AI technology can be used in several markets:

  • Automotive: ADAS and autonomous vehicles can benefit from generative AI for smart cockpits.
  • Security: Intelligent transportation systems, perimeter protection and access control.
  • Industrial Automation: Automatic optical inspection, anomaly detection and OCR.
  • Retail: Smart retail and point-of-sale.
  • Personal Compute: Generative AI on personal computers.

Hailo's edge AI products promise low latency, high accuracy and efficiency. Running AI software on edge devices cuts costs for storing video and transmitting video data. Customers have been happy with Hailo's products, saying they offer a stable foundation, good support and high performance.

Hailo's AI processors are designed to make high-performance AI practical and affordable, improving safety, convenience and productivity without sacrificing privacy and security. That means customers can build more advanced operations with complex neural networks, and Hailo offers a range of products for different markets.

Published on July 28, 2024

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