NVIDIA® Jetson Nano™ 2GB Developer Kit (802.11ac Wireless Adapter Included)
It is recommended to buy our newly released reComputer J1020 powered by NVIDIA Jetson Nano Production Module includes a carrier board and heatsink. Check it out! Find more NVIDIA Jetson-powered AI platforms here.
PRODUCT DETAILS
Note
We just released new reComputer J10 edge AI device, powered by Jetson Nano 4GB Production Module includes a carrier board and heatsink. Check more products for Jetson platform here!
Description
Discover the power of AI and robotics with NVIDIA® Jetson Nano™ 2GB Developer Kit. It’s 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, you’ll 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. There’s 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 & 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
Note
If you are looking for open source SBC for commercial and industrial needs. Seeed provides customization service based on BeagleBone series boards. Seeed Studio BeagleBone® Green(BBG) and Seeed Studio BeagleBone® Green Wireless (BBGW) provide more stable industrial deployment scenarios.
ECCN/HTS
| HSCODE | 8517180050 |
| USHSCODE | 8543708800 |
| UPC | |
| EUHSCODE | 8543709099 |
| COO | CHINA |
| RoHS | 1 |
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M.2 Key E Port?Hello, Does the NVIDIA® Jetson Nano ™ 2GB Developer Kit have the M.2 Key E Port?