NVIDIA Jetson Nano 4GB
Entry-level edge AI module delivering 472 GFLOPS / 0.5 TFLOPS of compute, 4GB LPDDR4 memory, and configurable power consumption from 5 to 10W. Ideal for smart cameras, educational development, lightweight inference, and maintenance of existing A02/B01 projects.
Core Specifications
CompleteSpecifications
| Product Form | Mod |
| architecture | Maxwell |
| AI Compute | 472 GFLOPS / 0.5 TFLOPS |
| GPU | 128-core Maxwell GPU |
| GPU Maximum Frequency | 921 MHz |
| CPU | Quad-core Arm Cortex-A57 @ 1.43GHz |
| memory | 4GB 64-bit LPDDR4 |
| Memory Bandwidth | 25.6GB/s |
| Storage | 16GB eMMC 5.1 |
| Video Codec | 1x 4K30 H.265, 2x 1080p60 H.265 |
| Video decoding | 1x 4K60 H.265, 4x 1080p60 H.265 |
| Power Consumption | 5-10W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Version | A02 / B01 |
| Typical Applications | Smart Cameras, Educational Development, Lightweight Edge Inference |
* 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 delivering 472 GFLOPS / 0.5 TFLOPS of compute, 4GB LPDDR4 memory, and configurable power consumption from 5 to 10W. Ideal for smart cameras, educational development, lightweight inference, and maintenance of existing A02/B01 projects.
| Product Form | Mod |
| architecture | Maxwell |
| AI Compute | 472 GFLOPS / 0.5 TFLOPS |
| GPU | 128-core Maxwell GPU |
| GPU Maximum Frequency | 921 MHz |
| CPU | Quad-core Arm Cortex-A57 @ 1.43GHz |
| memory | 4GB 64-bit LPDDR4 |
| Memory Bandwidth | 25.6GB/s |
| Storage | 16GB eMMC 5.1 |
| Video Codec | 1x 4K30 H.265, 2x 1080p60 H.265 |
| Video decoding | 1x 4K60 H.265, 4x 1080p60 H.265 |
| Power Consumption | 5-10W |
| Size | 69.6mm x 45mm |
| API | 260-pin SO-DIMM connector |
| Version | A02 / B01 |
| Typical Applications | Smart Cameras, Educational Development, Lightweight Edge Inference |
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