Developers can get hands-on use the same CUDA-X™ software and tools with NVIDIA Jetson Nano 2GB. AI enthusiasts are able to easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack, enabled by NVIDIA JetPack™. Also, the open-source NVIDIA JetBot AI robot platform helped lead to the next level of robotics development with NVIDIA Isaac™.
Jetson Nano 4GB developer kit was released in March 2019. Throughout one year, there are thousands of Jetson Nano developers in the community actively contribute videos, tutorials, and projects bringing the community more AI solutions. At Seeed, we bring the community with a lot of tutorials, must-have, and useful accessories for Jetson Nano.
Two versions of NVIDIA® Jetson Nano™ 2GB Developer Kit
There are two versions of the new NVIDIA Jetson Nano 2GB Developer Kit with different wireless connectivity choices:
- NVIDIA Jetson Nano 2GB Developer Kit (802.11ac Wireless Adapter Not Included) $54.00
- NVIDIA® Jetson Nano™ 2GB Developer Kit (802.11ac Wireless Adapter Included) $59.00
- 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
The Jetson Nano 2GB Developer Kit delivers incredible AI performance at a lower price for everyone who wants to build AI projects. It makes the universe of AI and robotics open to everybody with precisely the same programming tools to make advancements in AI over all industries.
Comparison between NVIDIA Jetson Nano B01 and NVIDIA Jetson Nano 2GB
|Jetson Nano Developer Kit B01||Jetson Nano Developer Kit 2GB|
|GPU||128-core NVIDIA Maxwell||128-core NVIDIA Maxwell|
|CPU||Quad-core ARM A57 @ 1.43 GHz||Quad-core ARM A57 @ 1.43 GHz|
|Memory||4 GB 64-bit LPDDR4 25.6 GB/s||2 GB 64-bit LPDDR4 25.6 GB/s|
|Storage||microSD (not included)||microSD (card not included)|
|Video Encode||4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)||4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)|
|Video Decode||4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)||4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)|
|Camera||2x MIPI CSI-2 DPHY lanes||1x MIPI CSI-2 D-PHY lanes|
|Connectivity||Gigabit Ethernet, M.2 Key E||Gigabit Ethernet, M.2 Key E, Optional 802.11ac Wireless Adapter|
|Display||HDMI and display port||HDMI|
|USB||4x USB 3.0, 1×USB 2.0 Micro-B||1x USB 3.0, 2x USB 2.0 , 1×USB 2.0 Micro-B|
|Others||GPIO, I2C, I²S, SPI, UART||GPIO, I2C, I²S, SPI, UART|
|Mechanical||100 mm x 80 mm x 29 mm||100 mm x 80 mm x 29 mm|
Explore must-haves for Jetson Nano for your AI projects
Must-have cases for different needs
- Acrylic Case for Jetson Nano B01 with Cooling Fan, Dual Antenna Mounts, Power/FR/RESET Buttons $14.99
- Aluminum Case for Jetson Nano B01 with Cooling Fan, Dual Antenna Mounts, Power/FR/RESET Buttons $26.99
The re_computer case is specially designed for the re_computer system. It is more than just aesthetic, there are also great features:
It is compatible with all popular SBCs. The re_computer case can not only install the ODYSSEY – X86 board, we have designed and left screw holes for the installation of the most popular SBCs including Raspberry Pi, BeagleBone, and Jetson Nano.
The ICE Tower CPU Cooling Fan for Nvidia Jetson Nano is an efficient thermal solution customized for jetson nano, including two 5mm thick copper tubes, a multi-layer heat sink, and a PWM controllable high-quality fan. These powerful cooling modules combine to form a cooling performance monster. It will greatly reduce the operating temperature of the jetson nano, thus taking full advantage of the full performance potential of the jetson nano.
You can check ETA PRIME’s video for the detailed review.
We also tested using Jetson Nano to run high-intensity algorithms such as face recognition, bare running at 85 ℃, and the temperature was reduced to 45-47 ℃ when this cooling fan was assembled.
Add cameras for machine vision projects
At Seeed, we provide different cameras based on Sony IMX219 for NVIDIA Jetson Nano and Jetson Xavier NX. Now you can simply start machine vision projects and experience better quality video capture within a cost-effective price from these cameras. Please also check our blog How To Choose Cameras For NVIDIA Jetson Nano And Jetson Xavier NX For Machine Vision to discover what is the FOV and the difference between IMX219 cameras.
|8MP Camera with 77° FOV||8MP IR Night Vision Camera with 77° FOV||8MP Camera with 130° FOV||8MP Camera with 160° FOV||8MP Camera with 160° FOV||8MP Camera with 200° FOV|
|Diagonal Field of View (FOV)||77°||77°||130°||160°||160°||200°|
|IR LED Modules||None||2||None||None||2||None|
Cluster and NAS
Rack Tower Pro for Raspberry Pi & Jetson Nano:
4-layer acrylic enclosure and 8-layer acrylic enclosure with two RGB fans provide better shell protection and better heat dissipation for Raspberry Pi clusters, Raspberry Pi NAS servers, Jetson Nano clusters, and disk array clusters. It can easily fit 2.5-inch and 3.5-inch hard drives and Jetson Nano.
The long fixing screws are designed with flat head screws, which is easy to install and the fool-proof design of the positioning holes can prevent you from having trouble during installation.
- 4-layer acrylic case with RGB fan for cluster and NAS
- 8-layer acrylic case with RGB fan for cluster and NAS
AI robot smart car
JetBot is an open-source AI project for makers, students, and enthusiasts who are interested in learning AI and building fun applications. It’s easy to set up and use, is compatible with many popular accessories, and comes with several interactive tutorials that show you how to harness the power of AI to teach JetBot to follow objects, avoid collisions and more. JetBot is also a great launchpad for creating entirely new AI projects.
Comparison Between NVIDIA Jetson AI Developer Kits
|Jetson Nano Developer Kit||Jetson TX2 Developer Kit||Jetson Xavier NX|
|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|
Specifications of NVIDIA® Jetson Nano™ 2GB Developer Kit
|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|
|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|
We will add more awesome accessories for Jetson Nano in the near future. Stay tuned with us and feel free to let us know what you want to add-on to your Jetson Nano. What tutorials and projects are you looking for? Let us know in the forum and let’s explore together!