MSI EdgeXpert-13SUS AI edge system, 128GB LPDDR5x, 4TB Gen5 NVMe
- Wi-Fi 7
- Windows 11 Pro
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Edge AI system with a quad-core ARM Cortex-A53 processor, 4 GB LPDDR4 memory and 128 GB storage
The ASUS PE1100N Orin Nano is an edge server thin client built around an NXP i.MX 8M ARM Cortex-A53 processor running at 1.30 GHz. It targets developers and integrators deploying inference workloads in space-constrained environments. The quad-core architecture provides deterministic performance for real-time control loops and sensor fusion tasks.
The unit operates on a 12-24V DC supply range, simplifying integration into industrial cabinets and mobile platforms. Dual LAN ports and WiFi give redundant network paths for remote management. HDMI output supports local debugging, while M.2 E, B and M slots allow expansion without increasing the chassis footprint.
4GB of LPDDR4 memory and a 128GB SSD handle typical model weights and OS images for edge inference. Larger datasets or multi-model pipelines will exceed the onboard capacity, requiring external storage or model optimisation. The single-processor design limits parallel throughput for batch workloads.
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| Product | |
|---|---|
| Brand name | ASUS |
| Model name | PE1100N Orin Nano |
| Part number | 90AE0191-M00310 |
| Target workload | Edge Server |
| Product type | Thin Client |
| Processor | |
| Processor | NXP i.MX 8M ARM Cortex-A53 |
| Processor core count | Quad-Core Processor |
| Processor speed | 1.3 GHz |
| Max supported CPUs | 1 |
| Memory | |
| Installed RAM | 4 GB |
| Storage | |
| Installed SSD | 128 GB |
| Connectivity | |
| Network controller | WiFi |
| Size & build | |
| Shipping weight | 2.04 kg |
| Package size | 254 × 229 × 114 mm |
This model ships with 4 GB LPDDR4 memory and a 128 GB SSD installed, so there is no separate capacity to select.
The four Cortex-A53 cores at 1.30 GHz handle lightweight inference and data-prep tasks at the edge while keeping power draw low for fanless deployment.
Wireless connectivity caps throughput and latency compared with wired links, so plan for lower sustained bandwidth in congested RF environments.
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