NVIDIA Jetson Orin Nano 8GB (Super)
Entry-level edge AI module with Super mode delivering 67 TOPS sparse INT8 compute and Raw mode providing 40 TOPS. Features 8GB LPDDR5 memory and configurable power consumption from 7 to 25W, ideal for robotics, edge vision, and AI development.
Core Specifications
FullSpecifications
| Product Form | Mod |
| architecture | Ampere |
| AI Compute | 67 TOPS (Super, sparse INT8) / 40 TOPS (raw) |
| GPU | 1024-core Ampere GPU, 32 Tensor Core |
| CPU | 6-core Arm Cortex-A78AE @1.7GHz |
| memory | 8GB 128-bit LPDDR5 |
| Memory Bandwidth | 102.4GB/s |
| Storage | Supports PCIe NVMe expansion |
| Power Consumption | 7-25W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Entry-level robotics, edge vision, and AI teaching 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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Entry-level edge AI module with Super mode delivering 67 TOPS sparse INT8 compute and Raw mode providing 40 TOPS. Features 8GB LPDDR5 memory and configurable power consumption from 7 to 25W, ideal for robotics, edge vision, and AI development.
| Product Form | Mod |
| architecture | Ampere |
| AI Compute | 67 TOPS (Super, sparse INT8) / 40 TOPS (raw) |
| GPU | 1024-core Ampere GPU, 32 Tensor Core |
| CPU | 6-core Arm Cortex-A78AE @1.7GHz |
| memory | 8GB 128-bit LPDDR5 |
| Memory Bandwidth | 102.4GB/s |
| Storage | Supports PCIe NVMe expansion |
| Power Consumption | 7-25W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Entry-level robotics, edge vision, and AI teaching development |
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