Overview
The NVIDIA Jetson Nano Developer Kit makes CUDA-accelerated AI accessible to students, makers and product teams. A 128-core NVIDIA Maxwell GPU and quad-core Cortex-A57 CPU run modern neural networks for image classification, object detection, segmentation and speech processing, with the same JetPack software used across the Jetson family.
The kit boots from microSD and exposes USB 3.0, HDMI, Gigabit Ethernet, MIPI CSI-2 camera connectors and a 40-pin GPIO header for sensors and peripherals. Two configurations are available: the 4GB kit (B01 carrier with two camera connectors and DisplayPort) and the 2GB kit with a USB-C power input and a bundled Wi-Fi adapter.
Key Features
- 128-core Maxwell GPU: 472 GFLOPS of FP16 compute
- Quad-core Cortex-A57: Arm cores at 1.43 GHz
- 4GB or 2GB LPDDR4: 25.6 GB/s of memory bandwidth
- Ready-to-use I/O: USB 3.0, HDMI, Gigabit Ethernet, camera connectors and a 40-pin header
- 5W and 10W modes: Runs from a 5V supply
- JetPack SDK: CUDA, TensorRT, DeepStream and a large community of tutorials
Available Configurations
- Jetson Nano Developer Kit 4GB (945-13450-0000-100): 4GB memory, 4x USB 3.0, HDMI and DisplayPort, 2x MIPI CSI-2, M.2 Key E, DC barrel jack or Micro-USB power
- Jetson Nano 2GB Developer Kit (945-13541-0000-000): 2GB memory, 1x USB 3.0 and 2x USB 2.0, HDMI, 1x MIPI CSI-2, USB-C power, 802.11ac Wi-Fi adapter included
Technical Specifications
| Specification | Details |
|---|---|
| GPU | 128-core NVIDIA Maxwell GPU |
| CPU | Quad-core Arm Cortex-A57, 1.43 GHz |
| Memory | 4GB or 2GB 64-bit LPDDR4, 25.6 GB/s |
| Storage | microSD (not included) |
| Video Encode | 4K30, 4x 1080p30 (H.264/H.265) |
| Video Decode | 4K60, 2x 4K30, 8x 1080p30 (H.264/H.265) |
| Camera | 2x MIPI CSI-2 (4GB) or 1x MIPI CSI-2 (2GB) |
| Networking | Gigabit Ethernet, M.2 Key E (4GB), USB Wi-Fi adapter (2GB) |
| Display | HDMI 2.0 and DisplayPort 1.2 (4GB), HDMI (2GB) |
| USB | 4x USB 3.0 + Micro-USB (4GB), 1x USB 3.0 + 2x USB 2.0 + USB-C (2GB) |
| Other | 40-pin header with GPIO, I2C, I2S, SPI, UART |
| Power | 5W and 10W modes |
| Dimensions | 100 mm x 80 mm x 29 mm (4GB), 100 mm x 80 mm x 31 mm (2GB) |
Ideal Use Cases
- Learning AI and robotics with the NVIDIA DLI courses
- Classroom and university labs
- Maker projects and hackathons
- Low-cost proof-of-concepts before moving to a production module
Why Choose This Product?
The Jetson Nano Developer Kit is the most affordable way to learn and prototype on the NVIDIA platform, with the same tools and software stack that scale up to Orin and Thor.
Interested? Contact us for pricing, volume orders and deployment support.
