Jetson Nano kits
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.
Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.
Upgraded 2-lanes CSI, instead of the previous 1-lane, easily play around with binocular vision
Introduction
- Core module socket
- M.2 Key E connector
- PoE pins: PoE module is not included
- 40PIN GPIO header
- Micro USB port: for 5V power input or for USB data transmission
- Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation, supports PoE if external PoE module is connected
- 4x USB 3.0 port
- HDMI output port
- DisplayPort connector
- DC jack: for 5V power input
- 2x MIPI CSI camera connector
| GPU | 128-core Maxwell |
|---|---|
| CPU | Quad-core ARM A57 @ 1.43 GHz |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Storage | 16GB eMMC |
| Video Encoder | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
| Video Decoder | 4K @ 60 | 2x 4K @ 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 expansion connector |
| Display | HDMI and DP |
| USB | 4x USB 3.0, USB 2.0 Micro-B |
| Extension Interfaces | GPIO, I2C, I2S, SPI, UART |
What's in the box?
1 x AC8265 dual-mode NIC
1 x 32GB USB drive
1 x Cooling fan
1 x USB cable (~1.2m)
1 x Ethernet cable (~1.5m)
1 x EU 5V 4A power adapter
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.
Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.
Upgraded 2-lanes CSI, instead of the previous 1-lane, easily play around with binocular vision
Introduction
- Core module socket
- M.2 Key E connector
- PoE pins: PoE module is not included
- 40PIN GPIO header
- Micro USB port: for 5V power input or for USB data transmission
- Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation, supports PoE if external PoE module is connected
- 4x USB 3.0 port
- HDMI output port
- DisplayPort connector
- DC jack: for 5V power input
- 2x MIPI CSI camera connector
| GPU | 128-core Maxwell |
|---|---|
| CPU | Quad-core ARM A57 @ 1.43 GHz |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Storage | 16GB eMMC |
| Video Encoder | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
| Video Decoder | 4K @ 60 | 2x 4K @ 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 expansion connector |
| Display | HDMI and DP |
| USB | 4x USB 3.0, USB 2.0 Micro-B |
| Extension Interfaces | GPIO, I2C, I2S, SPI, UART |
What's in the box?
1 x IMX219-77 Camera
1 x 32GB USB drive
1 x Cooling fan
1 x USB cable (~1.2m)
1 x Ethernet cable (~1.5m)
1 x 5V 4A power adapter
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.
Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.
Upgraded 2-lanes CSI, instead of the previous 1-lane, easily play around with binocular vision
Introduction
- Core module socket
- M.2 Key E connector
- PoE pins: PoE module is not included
- 40PIN GPIO header
- Micro USB port: for 5V power input or for USB data transmission
- Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation, supports PoE if external PoE module is connected
- 4x USB 3.0 port
- HDMI output port
- DisplayPort connector
- DC jack: for 5V power input
- 2x MIPI CSI camera connector
Specifications
- GPU: 128-core Maxwell
- CPU: Quad-core ARM A57 @ 1.43 GHz
- Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
- Storage: 16GB eMMC
- Video Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
- Video Decoder: 4K @ 60 | 2x 4K @ 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 expansion connector
- Display: HDMI and DP
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Extension Interfaces: GPIO, I2C, I2S, SPI, UART
What's in the box?
- JETSON-IO-BASE-A (carrier board)
- Jetson Nano module
- Official heatsink
- 32GB USB drive
Key Features of the OKdo Nano C100 Developer Kit
- Jetson Nano Module
- 128-core NVIDIA Maxwell GPU
- Quad-core ARM A57 CPU
- 4 GB 64-bit LPDDR4
- 10/100/1000BASE-T Ethernet
- Power Options
- Micro-USB 5V 2A
- DC power adapter 5V 4A
- Extensive I/Os
- USB 3.0 Type A
- USB 2.0 Micro-B
- HDMI/DisplayPort
- M.2 Key E
- Gigabit Ethernet
- GPIOs,I2C, I2S, SPI, UART
- 2x M IPI-CSI camera connector
- Micro SD card
- Fan connector
Specifications
- GPU 128-core Maxwell
- CPU Quad-core ARM A57 @ 1.43 GHz
- Memory 4 GB 64-bit LPDDR4 25.6 GB/s
- Storage 16GB eMMC and microSD (not included)
- Video Encoder 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
- Video Decoder 4K @ 60 | 2x 4K @ 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 2.0 and eDP 1.4
- USB 4x USB 3.0, USB 2.0 Micro-B
- Others GPIO, IC2, I 2 S, SPI, UART
- Dimensions 100 mm x 80 mm x 29 m
What's in the box?
1 x NVIDIA Jetson Nano module
1 x Radxa Nano C100 carrier board
1 x Quick Start Guide and Support Guide
Resources
Datasheet
128-core Maxwell graphic processing unit
4 GB 64-bit LPDDR4 memory
What's in the box?
1 x Jetson Nano Development Kit
Resources
Datasheet
- 1