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| Featuring an ultra-compact and rugged design, Advantech's AIR-020 series delivers low power computing with powerful AI inferencing capabilities that leverage NVIDIA Jetson series solutions. These features make AIR-020 an excellent choice for diverse AI projects.
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Excellent AI
Performance at the Edge |
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Robust I/O
and Connectivity |
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ESmall Footprint,
Easy Installation |
| Powered by NVIDIA Jetson Xavier NX, Jetson TX2 NX and Jetson Nano |
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Seamless camera, wireless connectivity, and multi-function flexibility |
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Industry’s smallest form factor (139 x 110 x 44.5 mm) for easy installation in applications with limited space |
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| Quick AI Deployment |
| Advantech AIR-020 series is bundled with Ubuntu 18.04 LTS OS environment, Advantech Edge AI Suite, and NVIDIA JetPack SDK 4.5.1. Developers can develop AI models and deploy their applications with ease. |
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Instant AI experience with pretrained models |
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No-code journey for AI inference demonstration, benchmarks, and system monitoring |
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| AIR-020 Series at a Glance |
| Extreme AI performance with NVIDIA Jetson family modules |
Supports M.2
2280 storage
up to 2TB |
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| Fast data transition with Type C 3.2 Gen2 interface up to 10gbps |
Supports versatile industrial protocol communication |
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| Rugged design with 12 ~ 24V wide power input & -10 ~ 55 °C operating temperatures |
Supports high resolution camera connection |
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| Nuvoton TPM 2.0 built-in for enhanced system security |
Preloaded with Ubuntu 18.04 LTS, Advantech Edge Al Suite and NVIDIA JetPack SDK |
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| Designed for Edge AI Applications |
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| Product Offerings |
 Jetson Xavier NX |
Jetson TX2 NX |
Jetson Nano
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| AIR-020X |
AIR-020T |
AIR-020N |
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Provides up to 21 TOPS of AI performance |
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CANBus for autonomous devices |
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Provides 1.33 TFLOPs of AI performance |
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Supports two LANs and three USB 3.2 ports for camera connections |
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Provides 472 GFLOPs of AI performance |
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Supports 8-bit DIO and COM for device control |
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| For Industrial Engineers… |
| AI SaaS powered by Edge Impulse helps users create bespoke AI quickly and easily. Optimized tinyML algorithms are considered and accounted for. |
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