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Hailo-8L M.2 Entry-Level Acceleration Module

The Hailo-8L M.2 Entry-Level Acceleration Module is a high-performance AI accelerator designed for edge devices. Powered by the Hailo-8L AI processor, delivering up to 13 TOPS of processing power, this M.2 module offers real-time AI inferencing with low latency and high efficiency. With a PCIe Gen-3.0 2-lane interface, it ensures cost-effective AI solutions for devices requiring entry-level AI performance. The Hailo-8L M.2 module is perfect for a wide range of applications and can be easily integrated into edge devices for scalable AI processing..

  • Detail
  • Special Features
  • Specification

The Hailo-8L M.2 Entry-Level Acceleration Module offers cutting-edge AI performance in a compact, power-efficient form factor. With 13 TOPS of AI compute power, it provides real-time, low-latency inferencing for edge devices, delivering high efficiency and AI processing performance while maintaining a low power footprint. The module is built to handle deep learning models and applications such as object detection, image classification, and video analytics, making it ideal for smart cameras, industrial automation, and IoT devices.

The Hailo-8L M.2 module supports multi-stream and multi-model processing, enabling devices to run multiple AI tasks concurrently. With standard M.2 form factor options (key B+M and key A+E), the module can be easily integrated into existing edge devices. It offers full compatibility with popular AI frameworks like TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX, allowing developers to seamlessly port their existing models and deploy them with ease.

Additionally, the Hailo-8L M.2 module is designed to be future-proof. With software compatibility for migration to the more powerful Hailo-8, it allows for scalability as AI needs evolve. It also supports a wide temperature range from -40°C to 85°C, ensuring reliable operation in harsh environments.

  • 13 TOPS AI Performance

    • Powered by the Hailo-8L AI processor, the module provides 13 Tera-Operations Per Second (TOPS), enabling high-performance AI processing for edge devices.

  • Best-in-Class Power Efficiency

    • Achieves best-in-class power efficiency, making it ideal for applications that require high-performance AI inferencing while consuming minimal power.

  • Real-Time, Low-Latency AI Inferencing

    • Supports real-time, low-latency AI inferencing, enabling efficient deep learning model execution on edge devices with rapid decision-making capabilities.

  • Compact M.2 Form Factor

    • Standard M.2 form factor with key B+M and key A+E options allows easy integration into existing systems with fast time-to-market for product development.

  • Cost-Efficiency

    • The Hailo-8L M.2 module provides high cost-efficiency (TOPS/$), making it a budget-friendly solution for AI-powered edge devices with entry-level requirements.

  • Industrial-Grade Reliability

    • The Hailo-8L M.2 module is designed to operate in industrial-grade environments, supporting an extended temperature range of -40°C to 85°C.

  • Scalable and Future-Ready

    • Scalable architecture allows for the simultaneous processing of multi-streams and multi-models, with the ability to easily scale up to the more powerful Hailo-8 modules as AI requirements grow.

General Features

  • AI Processing Power: 13 TOPS

  • Power Efficiency: Best-in-class

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

  • PCIe Interface:

    • Key B+M: 2 lanes (up to 16 Gbs)

    • Key A+E: 2 lanes (up to 16 Gbs)

  • Power Consumption: Low power with high efficiency

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

  • Form Factor:

    • Key B+M: 22×42 mm with breakable extensions to 22×60 mm & 22×80 mm

    • Key A+E: 22×30 mm

  • Certification: CE, FCC