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Edge AI Acceleration Modules

EAI-1200

Hailo-8™ M.2 AI Acceleration Module

26 TOPS AI Computing delivered by Hailo-8 NPU
Compact M.2 AI module key B+M / A+E
-40~65°C operating temp. w/ optional heatsink
Typical 2.5W low power consumption
Rich AI Dev. Toolkits including Model Library, Model Converter, Runtime SDK Integration

Certificaciones:

Enlaces de soporte:

Ficha técnica Descargas Técnicas

Especificaciones

Processor

VPU

1x Hailo-8™
1x Hailo-8™

Interface

Signal Interface

PCI Express Gen3.0 x2
PCI Express Gen3.0 x2

Environment

Temperature (Operating)

-40 ~ 85°C (Throttling), with 0.7m/s air flow
-40 ~ 85°C (Throttling), with 0.7m/s air flow

Power Consumption

Typical

Typical 2.5W depends on AI model
Typical 2.5W depends on AI model

Maximum

Max. 5W depends on AI model
Max. 5W depends on AI model

Form Factor

M.2 2242 (Key B+M)
M.2 2230 (Key A+E)

Physical Characteristics

Dimensions (W x D x H)

22mm x 42mm x 2.63mm
22mm x 30mm x 2.63mm

Power

Input Voltage

DC input 3.3V ±5%
DC input 3.3V ±5%

Características y beneficios

AI Acceleration Modules: Upgrading from Edge Computing to Edge AI

NPU- and GPU-powered AI acceleration modules offer the fastest and simplest way to integrate AI into current edge computing platforms. These technologies provide advantages in throughput, latency, and efficiency, making them ideal for various AI applications. Advantech partners with leading AI chip providers to deliver cost- and power-efficient acceleration modules in M.2, MXM, and PCIe form factors, ensuring seamless upgrades from edge computing to edge AI.

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