Hailo-8L Entry-Level
AI Accelerator
Delivering data center class performanceto edge devices
Key Features & Benefits
13 Tera-Operations Per
Second (TOPS)
Enabling real-time, lowlatency & high-efficiency
AI inferencing on edgedevices
Easy hardware integration;
Does not require external
memoryBest-in-class power
efficiency with typicalpower consumptionof 1.5W

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

High cost-efficiency(TOPS/$) compared withexisting solutions

Scalable:

Commercial & industrial
grades, supporting-40°C to 85°C

→ Future-ready — software
compatibility when migrating to
Hailo-8 for more powerful AI→ Enabling simultaneous
processing of multi-streams& multi-models

Key Benefits of High-Performance AI Analytics on the Edge
Advanced AI video analytics for:Low latency& real-time alerts→ High accuracy & ability
to detect small objects→ Significant reduction infalse alerts→ Detection of fast-movingobjects→ Generation ofcomprehensive metadata

Efficiency& cost-savings

Modules enable
fast time tomarket & easy HW
integration

Hailo-8L
M.2
Key B+M

Hailo-8L Offering
Chip On Board(COB)
Hailo-8L

Hailo-8L
M.2
Key A+E

Hailo-8L ArchitectureUnique, powerful and scalable structure-driven dataflow architecture that takes advantage of the coreproperties 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.

Hailo-8L Entry-Level AI Accelerator for Edge Devices
Comprehensive Software Suite
AI software suite which seamlessly integrates with existing deep learning development frameworks toallow smooth and easy integration in existing development ecosystems. The Hailo AI software suite is future
proof, supporting all Hailo-8 product lines, and includes:
Model Build Environment

Runtime Environment

Model Build Computer

Host Processor

Machine Learning
Frameworks

Model Zoo
A variety of common& state-of-the-art pretrained and retrainablemodels in TensorFlow &ONNX

User
Applications

TAPPASTAPPAS
Application
examplesUser
ModelsHailo Dataflow
CompilerA software toolset foroptimization & translationof trained models toHailo-8L format

Hailo
Models
Zoo

OS IP
Stack

HailoRT

Ethernet
Hailo Dataflow
Compiler

PCIe

A set of full application
examples, implementing
pipeline elements andpre-trained AI tasks

HailoRT
Production-grade,precompiled, runtime
software for the hostprocessor

Hailo-8L Device
Hailo-8L Firmware

Hailo SW component
Other SW component

Neural Network Models & Application Support
AI frameworks: TensorFlow,TensorFlow Lite, Keras,
PyTorch & ONNX

Host Architectures: X86, ARM
OSs: Linux, Windows

Comprehensive dataflow compiler
enables customer to port their neuralnetwork models easily & quickly

Hailo Ecosystem

System Usage

Hailo collaborates with partners globally tooffer products for edge solutions — from small
and fanless devices, to ruggedized industrialappliances, high capacity video analytics
platforms, embedded computing platforms forautomotive & robotics and more.

Co-processor connected to the various types
of host processors via PCIe

Hostprocessor

PCIe

Hailo-8L
ethernet

To select your Hailo-based AI platform click here

www.hailo.ai

Starter Kit M.2 module with Hailo-8L for development &prototyping of edge AI & specifically, video analytics solutions
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