Features
- Compact size Jetson Nano module powerful enough for advanced AI applications with low power consumption
- Supports Entire GPU-accelerated NVIDIA Software Stack for application development and optimization
- Rich I/O Peripherals to further expand AI projects
- Large heatsink for better heat dissipation
- Enables development of AI applications using NVIDIA JetPack¢ SDK
- Easy to build, deploy, and manage AI at the edge
- Flexible and scalable platform to get to market with reduced development costs
- Large community support with a wide collection of resources to easily get started
Description
Discover the power of AI and robotics with NVIDIA® Jetson Nano¢ 2GB Developer Kit. Its small, powerful, and affordable for everyone. This means educators, students, and other enthusiasts can now easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack.
Learning by doing is key for anyone new to AI and robotics, and the Jetson Nano 2GB Developer Kit is ideal for hands-on teaching and learning. Unlike online-only learning, youll see your work on the developer kit perceive and interact with the world around you in real-time.
Thousands of Jetson Nano developers actively contribute videos, how-tos, and open-source projects in addition to the free and comprehensive tutorials offered by NVIDIA. These start with an introductory Hello AI World, continue to robotics projects such as the open-source NVIDIA JetBot AI robot platform, and lead to the next level of robotics development with NVIDIA Isaac¢.
All these resources are enabled by NVIDIA JetPack¢, which brings to each Jetson developer the same CUDA-X¢ software and tools used by professionals around the world. JetPack includes a familiar Linux environment and simplifies the development process with support for cloud-native technologies such as containerization and orchestration.
The Jetson Nano 2GB Developer Kit delivers incredible AI performance at a low price. It makes the world of AI and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries. Theres no better way to start.
Comparison Between The NVIDIA Jetson AI Developer Kits
| Jetson Nano Developer Kit | Jetson TX2 Developer Kit | Jetson Xavier NX Developer Kit | Jetson AGX Xavier Developer Kit |
AI Performance |
0.5 TFLOPS (FP16) |
1.3 TFLOPS (FP16) |
6 TFLOPS (FP16) 21 TOPS (INT8) |
5.5-11 TFLOPS (FP16) 20-32 TOPS (INT8) |
GPU |
128-core NVIDIA Maxwell¢ GPU |
256-core NVIDIA Pascal¢ GPU architecture with 256 NVIDIA CUDA cores |
NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
512-Core Volta GPU with Tensor Cores |
CPU |
Quad-core ARM A57 @ 1.43 GHz |
Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
Memory |
2GB/ 4GB 64-bit LPDDR4 25.6 GB/s |
8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s |
8 GB 128-bit LPDDR4x @ 51.2GB/s |
32 GB 256-Bit LPDDR4x | 137 GB/s |
Power Consumption |
5-10W |
7.5-15W |
10-15W |
10-30W |
We provide a wide selection of AI-related products including Machine Learning, Computer Vision, Edge Computing, Speech Recognition amp; NLP, and Neural Networks Acceleration. Check here for more products you may need.
We are also calling for feedback and inputs from the developers. Any suggestions on the product features are welcome at Seeed Forum!
You can head over to NVIDIA Jetson Download Center to explore the necessary drivers and software for this product.
Specifications
Specification | Details |
GPU |
128-core NVIDIA Maxwell |
CPU |
Quad-core ARM A57 @ 1.43 GHz |
Memory |
2 GB 64-bit LPDDR4 25.6 GB/s |
Storage |
microSD (Card not included) |
Video Encode |
4Kp @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
Video Decode |
4Kp @ 60 | 2x 4Kp @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) |
Camera |
1x MIPI CSI-2 connector |
Connectivity |
Gigabit Ethernet 802.11ac wireless |
Display |
HDMI |
USB |
1x USB 3.0 Type-A, 2x USB 2.0 Type-A, 1x USB 2.0 Micro-B |
Others |
40-pin Header (GPIO, I2C, I²S, SPI, UART) 12-pin Header (Power and related signals, UART) 4-pin Fan Header |
Power |
USB-C 5V/ 3A |
Dimensions |
100 mm x 80 mm x 29 mm |
Part List
- 1 x NVIDIA Jetson module and reference carrier board
- 1 x Quick Start/ Support Guide
- 1 x 802.11ac wireless adapter and extension cable