Hailo-8 M.2 AI
Acceleration Module

Hailo-8 Overview

Step Up Your Edge Product Performance with Best-In-Class AI Processor Packaged in A Module

The Hailo-8 M.2 Module is an AI accelerator module for AI applications, compatible with NGFF M.2 form factor M, B+M and A+E keys. The AI module is based on the 26 tera-operations per second (TOPS) Hailo-8 AI processor with high power efficiency. The M.2 AI accelerator features a full PCIe Gen-3.0 2-lane interface (4-lane in M-key module), delivering unprecedented AI performance for edge devices. The M.2 module can be plugged into an existing edge device with M.2 socket to execute in real-time and with low power deep neural network inferencing for a broad range of market segments. Leveraging Hailo’s comprehensive Dataflow Compiler and its support for standard AI frameworks, customers can easily port their Neural Network models to the Hailo-8 and introduce high-performance AI products to the market quickly.

Learn about our partner ecosystem here.

Breathe life into your edge applications with the Hailo AI processors

Features

Key Features and Benefits

Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor

Best-in-class power efficiency

Enabling real-time, low latency, and high-efficiency AI inferencing on edge devices

Highest cost-efficiency (TOPS/$) compared with existing solutions

Scalable, enabling simultaneous processing of multi-streams & multi-models

Robust software suite supports state-of-the-art deep learning models & applications out-of-the-box

Supporting extended temperature range of -40°C to 85°C

Fast time to market using a standard form factor module, with key M, key B+M & key A+E.

Optional extensions for Key M & Key B+M

Technical Specifications

Form Factor M.2 Key M Key B+M Key A+E

AI Processor

Hailo-8 AI processor with up to 26 TOPS and best-in-class power efficiency

Dimensions

22 x 42 mm with breakable extensions to 22 x 60 and 22 x 80 mm

22 x 30 mm

Interface

PCIe Gen-3.0, 4 lanes (up to 32 Gbs)

PCIe Gen-3.0, 2 lanes (up to 16 Gbs)

Supported Frameworks

TensorFLow, TensorFlow Lite, ONNX, Keras, Pytorch

Supported OS

Linux, Windows

Certification

CE, FCC

Explore More

Product Brief
Hailo-8 M.2 AI Acceleration Module Product Brief
Product Brief
Hailo-8 M.2 Starter Kit Product Brief

Performance

  • Hailo-8 figures are based on SDK version 3.12.0 (November 2021), measured at room temperature on a single Hailo-8 device through PCIe interface on a Hailo evaluation board (system host: Intel® Core™ i5-9400 CPU @ 2.90GHz)
  • Intel Myriad X figures sourced from here (retrieved 12/07/21 for version 2021.4)
  • Google Edge TPU figures sourced from here (with power figures); here (throughout only), retrieved 12/07/21 ; and there (retrieved 08/08/21). FPS is converted from latency in ms (1 divided by ms/1000)
  • Hailo-8 and Edge TPU figures are for batch=1 and INT8, while Myriad X is batch=1 and FP16

 

 

How To Buy

Getting started with Hailo products is simple!

You can buy small quantities online from one of our global distributors or find a distributor near you for bulk orders. Pick the option that suits you best!

Order Raspberry Pi AI HAT+

Buy from Our Distributors

Breathe life into your edge applications with the Hailo AI processors