The NVIDIA Jetson Nano 4GB Developer Kit is a compact edge AI computer that lets you run several neural networks at the same time on a small board. If you are looking for a Jetson Nano developer kit for AI projects such as image classification, object detection or speech processing, this kit gives you a quad-core ARM CPU, a 128-core NVIDIA Maxwell GPU and 4GB of memory in one developer-friendly package.
The power of modern AI is now available for makers, learners, and embedded developers everywhere.
NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.
It’s simpler than ever to get started! Just insert a microSD card with the system image, boot the developer kit, and begin using the same NVIDIA JetPack SDK used across the entire NVIDIA Jetson™ family of products. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.
Get started today with the Jetson Nano Developer Kit. We look forward to seeing what you create!
SPECIFICATION
- GPU: 128-core NVIDIA Maxwell
- CPU: Quad-core ARM A57 @ 1.43 GHz
- Memory: 4 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: 2x MIPI CSI-2 DPHY lanes
- Connectivity: Gigabit Ethernet, M.2 Key E
- Display: HDMI and display port
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Others: GPIO, I2C, I2S, SPI, UART
- Dimensions: 69 mm x 45 mm, 260-pin edge connector
Jetson Nano Developer Kit for AI: What It Is Built To Do
As a Jetson Nano developer kit for AI, this board is designed to run multiple neural networks in parallel for tasks such as image classification, object detection, segmentation and speech processing. NVIDIA lists the AI performance of the Jetson Nano at 472 GFLOPS, with a 128-core Maxwell GPU and a quad-core ARM Cortex-A57 CPU running up to 1.43 GHz. It uses the NVIDIA JetPack SDK, the same software stack used across the Jetson family, so what you learn on this board carries over to other Jetson modules.
Edge AI Computer With 4GB LPDDR4 Memory
An edge AI computer processes data where it is collected, such as a camera feed on a robot or a small smart device, instead of sending everything to a server. The 4GB 64-bit LPDDR4 memory has a bandwidth of 25.6 GB/s, which helps when several models and video streams run together. NVIDIA lists the power consumption of the Jetson Nano as 5W to 10W, which keeps it practical for battery-powered or space-limited builds. The kit boots from a microSD card (not included), so you flash the system image to a card before the first start.
Ports and I/O for Cameras and Sensors
The kit includes Gigabit Ethernet, HDMI and DisplayPort outputs, four USB 3.0 ports and a USB 2.0 Micro-B port. For hardware projects it also exposes GPIO, I2C, I2S, SPI and UART, so you can connect sensors, motor drivers and other boards. Camera inputs use MIPI CSI-2, and hardware video encoding and decoding support H.264 and H.265 streams.
Not sure the Jetson Nano is the right size for your project? Compare it with lighter edge-AI options such as the Raspberry Pi AI HAT+ 13 TOPS or the Raspberry Pi AI Camera Module, or browse all Raspberry Pi boards.
Frequently Asked Questions
What is the NVIDIA Jetson Nano 4GB Developer Kit?
It is a small, low-power AI computer for learning and building edge AI projects. It has a 128-core Maxwell GPU, a quad-core Cortex-A57 CPU and 4GB of LPDDR4 memory.
What can you do with Jetson Nano?
You can run neural networks for image classification, object detection, segmentation and speech processing, for example in robots, smart cameras and small embedded devices.
How to set up Jetson Nano?
Flash the system image to a microSD card, insert it into the kit, connect a display, keyboard and power, and boot. The kit uses the NVIDIA JetPack SDK.
Does the Jetson Nano include a microSD card?
No. The microSD card is not included, so you need to prepare your own card.
How much memory does it have?
It has 4GB of 64-bit LPDDR4 memory with a bandwidth of 25.6 GB/s.
Which video formats can it handle?
It supports H.264 and H.265 video encoding and decoding.
Which ports and interfaces does it provide?
Gigabit Ethernet, HDMI, DisplayPort, USB 3.0 and USB 2.0 Micro-B, MIPI CSI-2 camera input, and GPIO, I2C, I2S, SPI and UART.
The NVIDIA Jetson Nano 4GB Developer Kit is a practical way to start with edge AI: a Maxwell GPU, a quad-core CPU, 4GB of memory and the familiar JetPack software in a small board. If you are planning engineering graduation projects this term, RAM Electronics offers the NVIDIA Jetson Nano 4GB Developer Kit in Egypt. Contact us if you need help choosing the right board for your project.