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Edge AI Acceleration Modules

The EAI series provides low power plug-in AI modules and GPU cards to help accelerate deep learning inference on the edge

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EAI-1200

Hailo-8™ M.2 AI Acceleration Module

  • 26 TOPS AI Computing delivered by Hailo-8 VPU

  • M.2 2242 w/ optional 2280 extensions

  • -20~65°C operating temp. w/ optional heatsink

  • Typical 2.5W Low power consumption

  • Rich AI Dev. Toolkits including Model Library, Model Converter, Runtime SDK Integration

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EAI-2100

MXM 3.1 Type A Intel Arc A370M Embedded GPU Card with DP 1.4a

  • Intel Arc A370M with 1550 MHz Base Clock, GDDR6 4GB 64 bit Memory, up to 4.198 TFLOPS

  • TGP 40W Low consumption with optional thermal kit, support 0-60°C working temperature

  • Reserved DP 1.4a x4 displays up to 8K UHD resolution

  • Advantech Edge AI SDK and Intel OpenVINO support

  • DirectX12, OpenGL 4.6, OpenCL 3.0, H.264/H.265 (HEVC)/AV1 hardware encode/decode support

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EAI-3100

PCIe x16 Intel Arc A370M Embedded GPU Card with 2x HDMI 2.0b + 2x DP 1.4a

  • Intel Arc A370M with 1550 MHz Base Clock, GDDR6 4GB 64 bit Memory, up to 4.198 TFLOPS

  • High Resolution 8K DP 1.4a x2 + 4K HDMI 2.0b x2, up to 4 Displays

  • 0-60°C working temperature support w/ auto smart fan

  • Advantech Edge AI SDK and OpenVINO support

  • DirectX12, OpenGL 4.6, OpenCL 3.0, AV1/H.264/H.265 (HEVC) hardware encode/decode support

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EAI-3101

PCIe x16 Intel Arc A380E Embedded GPU Card with 4x DP 1.4a

  • Intel Arc A380E with 2000 MHz Base Clock, GDDR6 6GB 96 bit Memory, up to 5.018 TFLOPS

  • 4x DP1.4a up to 8K UHD resolution

  • 0-60°C working temperature support w/ auto smart fan

  • Advantech Edge AI SDK and Intel OpenVINO support

  • AV1, DirectX12, OpenGL 4.6, OpenCL 3.0, H.264/H.265 (HEVC) hardware encode/decode support

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EAI-3300

Hailo-8™ PCIe AI Acceleration Card

  • 52 TOPS delivered by 2x Hailo-8 VPU

  • PCIe x16, HHHL design with single slot bracket

  • -40~70°C operating temp. support

  • Optimized cooler design with smart fan

  • Rich AI Development Toolkits for Runtime SDK integration, Model build, Model Convert, and Pre-trained AI application

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VEGA-320

m.2 Edge AI Module with one Intel® Movidius™ Myriad™ X VPU onboard

  • Intel® Movidius™ Myriad™ X VPU onboard

  • Ultra compact, Low power consumption

  • Hardware acceleration for common deep neural networks

  • Scalable for multi video streams edge inference

  • 10 times the performance compared to previous generation

  • Intel® OpenVINO™ toolkit fully supported

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VEGA-330

miniPCIe Edge AI Module with two Intel® Movidius™ Myriad™ X VPUs onboard

  • Intel® Movidius™ Myriad™ X VPU onboard

  • Ultra compact, Low power consumption

  • Hardware acceleration for common deep neural networks

  • Scalable for multi video streams edge inference

  • 10 times the performance compared to previous generation

  • Intel® OpenVINO™ toolkit fully supported

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VEGA-340

PCIe x4 with 4x/8x Intel® Movidius™ Myriad™ X VPU Edge AI Acceleration Module

  • Four/Eight Intel® Movidius™ Myriad™ X VPU onboard

  • Hardware acceleration for common deep neural networks

  • Scalable for multiple video streams edge inference

  • 10 times the performance compared to the previous generation

  • Intel® OpenVINO™ toolkit for inference performance optimization

  • Edge AI Suite with GUI for quick evaluation

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VEGA-230

Kneron KL520 Edge AI Module

  • Kneron KL520 NPU onboard

  • Mini PCI-E card (USB2.0 interface,Full size)

  • Accelerator for Edge AI solution

  • Maximize power efficiency and performance

  • Support widely AI frameworks and CNN models

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