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Hailo-8 AI Accelerator

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The Hailo-8 AI processor is the world’s best-performing edge AI processor, delivering up to 26 TOPS of AI compute power. With best-in-class power efficiency at just 2.5W typical consumption, the Hailo-8 enables real-time, low-latency, high-efficiency AI inferencing on edge devices. Compact in size and offering unparalleled cost-efficiency, it is designed for multi-stream and multi-model processing with a scalable architecture that supports commercial, industrial, and automotive-grade applications..

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  • Special Features
  • Specification

The Hailo-8 is a high-performance AI processor designed to handle real-time AI inferencing for edge devices. With an unprecedented AI compute power of 26 TOPS, the Hailo-8 significantly outperforms existing edge processors, offering unmatched power efficiency and cost-effectiveness. The processor's architecture is specifically built to optimize neural network models, enabling edge devices to process complex deep learning tasks at full scale with superior energy efficiency.

The Hailo-8 allows for multi-stream and multi-model processing, offering high scalability and making it suitable for a wide range of edge applications, from smart cameras to automotive systems. It supports major AI frameworks such as TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX, ensuring compatibility with existing neural network models.

The processor also includes a comprehensive dataflow compiler, enabling users to easily port their models for fast deployment. The Hailo-8 supports both X86 and ARM host architectures, making it flexible for integration into various systems. Additionally, it complies with automotive standards such as A-SPICE L2, AEC-Q100 Grade 2, and ISO-26262 ASI-B (D), making it suitable for automotive applications as well.

  • Unmatched AI Compute Power (26 TOPS)

    • The Hailo-8 delivers up to 26 tera-operations per second (TOPS), making it the most powerful AI processor for edge devices, enabling highly efficient deep learning applications.

  • Exceptional Power Efficiency

    • With a typical power consumption of only 2.5W, the Hailo-8 achieves best-in-class power efficiency, ensuring low-latency, high-performance AI inferencing without compromising on battery life.

  • Real-Time, Low-Latency AI Inferencing

    • Supports real-time AI processing with low-latency capabilities, enabling efficient operation for edge devices that require fast and precise decision-making.

  • Cost-Efficiency

    • The Hailo-8 offers the highest cost-efficiency (TOPS/$) compared to existing solutions, making it an ideal choice for AI-powered edge applications at scale.

  • Scalable Architecture

    • Enables the simultaneous processing of multi-streams and multi-models, with support for multiple Hailo-8 devices, making it suitable for complex, multi-dimensional applications.

  • Versatile Application Grades

    • Supports commercial, industrial (-40°C to 85°C), and automotive (-40°C to 105°C) grade applications, ensuring broad compatibility across various environments.

  • Easy Hardware Integration

    • Designed for easy hardware integration, the Hailo-8 does not require external memory, simplifying system design and reducing overall hardware costs.

  • Holistic Solution

    • Provides a complete hardware and software solution, including proprietary dataflow architecture, enabling efficient and effective deep learning at the edge.

General Features

  • AI Compute Power: Up to 26 TOPS

  • Typical Power Consumption: 2.5W

  • Low Latency: Enables real-time AI inferencing

  • Cost-Efficiency: Highest TOPS/$ ratio

  • Support for Multi-Stream and Multi-Model Processing

  • Operating Temperature:

    • Industrial: -40°C to 85°C

    • Automotive: -40°C to 105°C

  • No External Memory Required

  • Holistic Hardware and Software Solution

AI Framework & Host Architecture

  • AI Frameworks Supported: TensorFlow, TensorFlow Lite, Keras, PyTorch, ONNX

  • Host Architectures: X86, ARM

  • OS Support: Linux, Windows

Automotive Compliance

  • A-SPICE L2 Development Flow

  • AEC-Q100 Grade 2 Compliant

  • ISO-26262 ASI-B (D) Compliant