Unprecedented AI Performance for Edge Devices

Top Performing Edge AI Accelerators

Hailo offers high performance edge AI processor, with a superior area and power efficiency. 

At a size smaller than a penny even including the required memory, and with an architecture that takes advantage of the core properties of neural networks, our processors allow edge devices to run deep learning applications at full scale more efficiently, effectively, and sustainably than other AI chips and solutions, while significantly lowering costs.


blue background, digital signature with wave particles, sparkle, veil and space with depth of field. The particles are white light lines.


  • High performance – powered by Hailo-8™ AI processor with 26 Tera Operations Per Second (TOPS)
  • Enabling real-time, low latency, and high-efficiency AI inferencing on edge devices
  • Robust software suite supports state-of-the-art deep learning models & applications out-of-the-box


  • Best-in-class power efficiency
  • Highest cost-efficiency (TOPS/$) compared with existing solutions


  • Enabling simultaneous processing of multi-streams & multi-models
    * Supporting extended temperature range of -40°C to 85°C

Module Details

Introduction to Developing and Deploying AI Applications with Hailo

Learn about the hardware and software that is helping to streamline the development and deployment of AI applications.

For users seeking to accelerate time to market, these best-in-class tools from Hailo and UP Bridge the Gap will reduce development time and effort, while reaching unprecedented levels of AI performance for edge devices.

Hailo 8 Getting Started Guide with UP compatible boards (based on Tappas 3.4

🔸 Curious how an AI module delivers 26 TOPS at just 2.5 watts?

🔸 Struggling about your AI development progress?

🔸 Looking for a sample application that can speed up your project?

Hailo-8 M.2 Module offers a breakthrough microprocessor uniquely designed to accelerate embedded AI applications on edge devices.

Compatible Products


▶ Add UP Squared Pro
1x Hailo-8™ on UP Squared Pro
UP Squared 6000, embedded board 3D front view.


 ▶ Add UP Squared 6000
1x Hailo-8™ on UP Squared 6000


 ▶ Add UP Xtreme i11
1x Hailo-8™ on UP Xtreme
Supported UP Products 
The Hailo-8 M.2 2280 B+M key AI Acceleration module is compatible with UP Squared ProUP Squared 6000, and UP Xtreme i11  which are powerful computing platforms built for industrial applications to scale the Industry Edge Solution.
  • UP Squared Pro features the Intel Atom® Series processors (formerly Apollo Lake), which run at speeds up to 2.5 GHz.
  • UP Squared 6000 comes with the latest Intel Atom® Series processors (formerly Elkhart Lake) which offer up to 1.7x better performance and twice the performance for 3D graphics compared with the previous generation UP Squared Pro (formerly Apollo Lake).
  • UP Xtreme i11 is powered by the latest 11th Generation Intel® Core™ Processors, which can clock up to 4.4 GHz with only 28 watts TDP and 15 watts cTDP. For the even more power-efficient performance at the edge. 
UP Products UP Squared Pro UP Squared 6000 UP Xtreme i11
Dimension 101.6mm x 101.6mm 101.6mm x 101.6mm 120 mm x 122mm
CPU Intel® Celeron® N3350 (up to 2.4 GHz)
Intel® Pentium® N4200 (up to 2.5 GHz)
Intel Atom® x7-E3950 (up to 2.0 GHz)
Intel® Celeron® N6210 (up to 2.6 GHz)
Intel® Pentium® J6426 (up to 3.0 GHz)
Intel Atom® x6413E (up to 3.0 GHz)
Intel Atom® x6425RE (up to 1.9 GHz)
Intel® Core™ i7-1185GRE (up to 4.4 GHz)
Intel® Core™ i5-1145GRE (up to 4.1 GHz)
Intel® Core™ i3-1115GRE (up to 3.9 GHz)
Intel® Celeron® 6305E (up to 1.8 GHz)
RAM 2GB, 4GB, 8GB LPDDR4 2GB, 4GB, 8GB LPDDR4 2x DDR4 2 channel SO-DIMM VERTICAL MAX 64GB @ 3200MT/s
Storage eMMC 32 GB / 64 GB eMMC 32 GB / 64 GB via 1x SATA 3.0 connector with power connector
Expansion slot used for Hailo module 1x M.2 M key 2280 (PCIe Gen-2.0, 1 lane) 1x M.2 M key 2280 (PCIe Gen-3.0, 2 lanes) 1x M.2 M key 2280 (PCIe Gen-3.0, 2 lanes)
Supported OS Ubuntu 20.04 host OS, Hailo software via Ubuntu container Ubuntu 20.04 host OS, Hailo software via Ubuntu container Ubuntu 20.04 host OS, Hailo software via Ubuntu container
  This table is also available on our wiki.

Delivering Data-Center Class Performance to Edge Devices

 The Hailo-8™ unique, powerful and scalable structure-driven dataflow architecture takes advantage of the core properties of neural networks. It enables edge devices to run deep learning applications at full scale more efficiently, effectively, and substantially than traditional solutions, while significantly lowering costs.

Tech Specifications

Hailo-8™ AI 
Form factor
M.2 key B+M
InterfacePCIe Gen-3.0, 2-lanes
Supported OS
Linux, Windows
Key B+M: 22×42 mm with breakable extensions to 22×60 mm & 22×80 mm
Supported host
X86 or ARM based
Supported AI frameworksTensorFlow, TensorFlow Lite, Keras, PyTorch & ONNX

AI Development Kit

UP Squared AI Vision Development Kit

Implement and deploy computer vision solutions and support deeplearning inference across the CPU, GPU, and VPU.

This kit includes UP Squared x7-E3950 CPU 8GB RAM, 64GB eMMC, UP HD camera, and AI Core module. Besides the hardware, it comes with a complete software package including Ubuntu 16.04.4 Desktop, OpenVINO™ toolkit, Open CL/ Movidius Driver, Arduino Create and Intel System Studio.

Hailo-8™ AI Module

Leveraging a wide range of platforms based on Intel technology alongside extensive AI partners, UP offers solutions to power artificial intelligence and edge computing through Hailo-8™ M.2 AI Acceleration Module together with UP platforms.

The latest Hailo-8 M.2 AI module delivers unprecedented AI performance for UP edge devices with high power efficiency Hailo-8™ AI Processor. Power your AI solutions to meet next-generation demands and step up your UP Squared Pro/ UP Squared 6000/ UP Xtreme i11 performance with best-in-class AI processor in a module. Execute in real-time and with low-power deep neural network inferencing for a broad range of market segments.

Quick Start Guide & Downloads

Contact Us

Question? Leave us a message and we shall reach out you soon!

Quick Start Guide

Learn more about Hailo with UP providing quick start guide and examples, tutorials and OS installation guides.


Boot into the newly setup Operating System, download the prerequisites_setup.sh and TAPPAS_vX.XX.X_withPCIeDriver.zip into your board.


Unprecedented AI Performance for Edge Devices