NVIDIA Jetson Xavier NX 8GB
Compact edge AI module delivering 21 TOPS of compute power, 8GB LPDDR4x memory, and configurable power consumption from 10-20W. Ideal for low-power edge vision and embedded AI terminals.
Core Specifications
Full Specifications
| 产品形态 | Mod |
| architecture | Volta |
| AI Compute | 21 TOPS |
| GPU | 384-core Volta GPU, 48 Tensor Core |
| GPU Maximum Frequency | 110 MHz |
| CPU | 6-core NVIDIA Carmel @ 1.9GHz |
| DLA | 2x NVDLA |
| memory | 8GB 128-bit LPDDR4x |
| Memory Bandwidth | 59.7GB/s |
| Storage | 16GB eMMC 5.1 |
| Power Consumption | 10-20W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Low-power edge vision, embedded AI terminals |
* 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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Compact edge AI module delivering 21 TOPS of compute power, 8GB LPDDR4x memory, and configurable power consumption from 10-20W. Ideal for low-power edge vision and embedded AI terminals.
| 产品形态 | Mod |
| architecture | Volta |
| AI Compute | 21 TOPS |
| GPU | 384-core Volta GPU, 48 Tensor Core |
| GPU Maximum Frequency | 110 MHz |
| CPU | 6-core NVIDIA Carmel @ 1.9GHz |
| DLA | 2x NVDLA |
| memory | 8GB 128-bit LPDDR4x |
| Memory Bandwidth | 59.7GB/s |
| Storage | 16GB eMMC 5.1 |
| Power Consumption | 10-20W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Typical Applications | Low-power edge vision, embedded AI terminals |
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