Based on Jetson Nano, this alternative solution of B01 kit provides almost the same peripheral interfaces, dimension and performance as the official Jetson Nano B01 Developer Kit, perfectly docking with various AI features and development advantages of official kit. Unlike the official board, the storage is both onboard 16G-eMMC and can use external SD card, and have M.2 Key -M connector for Solid State Disk.
Compact and powerful, Jetson Nano supports a series of mainstream AI frameworks. Combining with the Jetpack SDK can make learning and developing AI products easier and more convenient.
Jetson Nano is equipped with Quad-Core Cortex-A57 processor, 1128-core NVIDIA Maxwell™ GPU and 44 GB 64-bit LPDDR4, which bring enough AI performance to robot terminals and industrial vision terminals.
Jetson Nano can run varieties of advanced networks, including TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet, and so on. These networks can be used to build complex AI MEC server, AI systems and autonomous machines by implementing great capabilities such as semantic segmentation,image recognition,video enhancement, pose estimation, object detection and localization,and intelligent analytics.
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Jetson Nano Kit |
4GB Developer Kit |
AI Performance |
472 GFLOPS |
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GPU |
128-core NVIDIA Maxwell™ GPU |
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CPU |
Quad-Core Arm® Cortex®-A57 MPCore processor |
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Memory |
4 GB 64-bit LPDDR4 |
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Video Encode |
1x 4K30(H.265) 2x1080p60(H.265) |
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Video Decode |
1x 4K60(H.265 ) 4x 1080p60(H.265 ) |
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Storage |
Micro SD card |
16G-eMMC 5.1 |
Extended Storage |
Micro SD card slot |
Micro SD card slot M.2 Key -M |
USB |
4x USB 3.0 Type A 1x USB 2.0 Micro-B |
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Networking |
Gigabit Ethernet |
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WiFi |
M.2Key -E |
2.4GHz/5.0GHz Dual-band WiFi |
Camera |
2*MIPI CSI-2 DPHY |
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Display |
HD&DP |
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Power |
5V4A DC |
9-19V 3.5A DC |
Dimension |
100 mm x 80 mm x 29mm |
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Weight |
158g |