NVIDIA Jetson Orin Nano 4GB (Super)
A lightweight edge AI module. Super mode delivers 34 TOPS sparse INT8 compute; native mode offers 20 TOPS. Equipped with 4GB LPDDR5 memory and configurable power consumption from 7 to 2-5W. Ideal for smart cameras, edge inference, and prototyping.
Core Specifications
Full Specifications
| 产品形态 | Mod |
| architecture | Ampere |
| AI Compute | 34 TOPS (Super, sparse INT8) / 20 TOPS (raw) |
| GPU | 512-core Ampere GPU, 16 Tensor Core |
| CPU | 6-core Arm Cortex-A78AE @1.7GHz |
| memory | 4GB 64-bit LPDDR5 |
| Memory Bandwidth | 51GB/s |
| Storage | Supports PCIe NVMe expansion |
| Power Consumption | 7-25W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Smart Camera, Lightweight Edge Inference, Prototype Development |
* Sparse mode specifications: Dense performance is half that of sparse specs. Specs sourced from NVIDIA's official product page; actual configuration subject to factory settings.
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A lightweight edge AI module. Super mode delivers 34 TOPS sparse INT8 compute; native mode offers 20 TOPS. Equipped with 4GB LPDDR5 memory and configurable power consumption from 7 to 2-5W. Ideal for smart cameras, edge inference, and prototyping.
| 产品形态 | Mod |
| architecture | Ampere |
| AI Compute | 34 TOPS (Super, sparse INT8) / 20 TOPS (raw) |
| GPU | 512-core Ampere GPU, 16 Tensor Core |
| CPU | 6-core Arm Cortex-A78AE @1.7GHz |
| memory | 4GB 64-bit LPDDR5 |
| Memory Bandwidth | 51GB/s |
| Storage | Supports PCIe NVMe expansion |
| Power Consumption | 7-25W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Smart Camera, Lightweight Edge Inference, Prototype Development |
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