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Hailo-8R mPCIe AI Acceleration module

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The Hailo-8R mPCIe AI Acceleration Module is a high-performance AI accelerator designed for edge devices. With up to 13 TOPS of processing power, this Mini PCIe form factor module offers industry-leading AI performance and best-in-class power efficiency. It enables real-time, low-latency AI inferencing while consuming minimal power, making it perfect for applications that require deep learning model processing in compact devices. The Hailo-8R mPCIe module is fully compatible with popular AI frameworks and supports easy migration to Hailo-8 for future upgrades..

  • Detail
  • Special Features
  • Specification

The Hailo-8R mPCIe AI Acceleration Module integrates the Hailo-8R AI processor into an mPCIe form factor module, delivering up to 13 TOPS of AI processing power. This module is ideal for real-time, low-latency AI inferencing on edge devices such as smart cameras, industrial IoT, and autonomous systems.

With best-in-class power efficiency, the Hailo-8R mPCIe module enables edge devices to run deep learning models efficiently, even in environments with strict power consumption requirements. It supports multi-stream processing and multi-model execution, offering flexibility for a wide range of AI applications.

The module supports popular AI frameworks like TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX, making it compatible with existing AI models. The Hailo Dataflow Compiler ensures easy and quick porting of models for efficient deployment on Hailo-8R hardware.

The Hailo-8R mPCIe module is designed to operate in industrial-grade conditions, with an operating temperature range from -40°C to 85°C, ensuring reliability in challenging environments. The module’s standard PCIe Mini interface and small form factor allow for fast integration into edge devices, accelerating time-to-market for AI-driven edge solutions.

  • 13 TOPS of AI Performance

    • The Hailo-8R mPCIe module delivers 13 Tera-Operations per Second (TOPS), offering exceptional AI compute power for edge devices.

  • Best-in-Class Power Efficiency

    • Provides industry-leading power efficiency, making it ideal for AI-powered edge devices that require high performance with low power consumption.

  • Real-Time, Low-Latency AI Inferencing

    • Supports real-time, low-latency AI processing, enabling edge devices to run deep neural network models efficiently and effectively.

  • Cost-Effective Solution

    • Highest cost-efficiency (TOPS/$) compared to existing solutions, delivering great performance per dollar for AI edge applications.

  • Scalable Performance

    • Enables the simultaneous processing of multi-streams and multi-models, ideal for applications in smart cameras, industrial automation, and IoT devices.

  • Extended Temperature Range Support

    • The Hailo-8R mPCIe module operates in extreme environments, supporting a temperature range of -40°C to 85°C for industrial-grade reliability.

  • Fast Time-to-Market

    • Standard PCIe Mini form factor enables fast integration into existing edge devices, reducing development time for AI applications.

General Features

  • AI Processing Power: 13 TOPS

  • Power Efficiency: Best-in-class

  • Temperature Range: -40°C to 85°C (Industrial grade)

  • PCIe Interface: Gen 3.0, 1 lane (up to 8 Gbs)

  • Power Consumption: Low power with high efficiency

  • Form Factor: PCIe Mini Card Full-Mini F1

Supported Frameworks

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

  • Host Architectures: X86, ARM

  • Operating Systems: Linux, Windows

Software and Integration

  • Dataflow Compiler: Enables easy and quick porting of neural network models

  • Robust Software Suite: Supports state-of-the-art deep learning models and applications out-of-the-box

Physical Characteristics

  • Dimensions:

    • Key B+M: 30×50.95 mm with breakable extensions to 30×60 mm & 30×80 mm

    • Key A+E: 22×30 mm

  • Certification: CE, FCC