Home AI Accelerators Hailo-8 M.2 AI Acceleration Module

Hailo-8 M.2 AI
Acceleration Module

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Overview

Features

Performance

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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.

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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

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Product Brief

Hailo-8 M.2 AI Acceleration Module 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

Order Starter Kit

Get started with
Hailo-8

The Hailo-8 starter kit includes:

Hailo-8 M.2 Module (key M, key A+E or key B+M)
Thermal management kit includes the metal cubes, thermal pads, and thermal adhesive tape
Screw and screwdriver