Dev Kit For Meeting The Rapidly Evolving Landscape Of AI Computing

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The small and low cost developer kit by NVIDIA is ideal for building and teaching AI and robotics. With a familiar Linux environment, simple tutorials and ready-to-build open-source projects, it’s the perfect tool for learning as well

The science of AI computing is rapidly evolving with researchers constantly inventing new neural network architectures that deliver better accuracy and performance. AI practitioners these days are using a wide variety of AI models and frameworks in their projects. This calls for a flexible learning platform that allows to create and run a diverse set of AI models that is powerful enough to deliver the performance required to create meaningful interactive AI experiences. 

To revolutionise embedded computing by delivering the power of artificial intelligence to edge computing devices, NVIDIA has launched Jetson Nano 2GB Developer Kit, an ideal hands-on platform for teaching, learning, and developing AI and robotics applications. 

While the NVIDIA Jetson platform was introduced six years ago, it is still being widely used today in diverse fields such as robotics, retail, industrial, agriculture and AIoT.

The Jetson Nano 2GB Developer Kit is powered by JetPack Software Development Kit (SDK), which includes a Linux desktop development experience. JetPack comes with the libraries required to build end-to-end AI applications. For example, OpenCV and VisionWorks can be used for computer vision and image processing; CUDA, cuDNN, and TensorRT to accelerate AI inferencing; libraries for camera and sensor processing and much more.

Unlike cloud-only learning platforms, the developer kit supports many popular sensors in the AI community like Raspberry Pi cameras, Intel Real-sense cameras, the ZED 3D camera and other USB cameras and peripherals, all working out of the box. 

Features

The Jetson Nano 2GB Developer Kit includes a Jetson Nano module with 2 GB memory and delivers 472 GFLOPS of computing performance.

The included carrier board is equipped with interfaces commonly used in edge and embedded project development.

  • GPU: 128-core NVIDIA Maxwell™
  • CPU: 64-bit Quad-core ARM A57 (1.43 GHz)
  • Memory: 2 GB 64-bit LPDDR4 (25.6 GB/s bandwidth)
  • Video Encoder: 4Kp30 | (4x) 1080p30 | (2x) 1080p60
  • Video Decoder: 4Kp60 | (2x) 4Kp30 | (8x) 1080p30 | (4x) 1080p60
  • Networking: 10/100/1000 Base-T Ethernet
  • Wi-Fi: Available via included 802.11ac wireless adaptor
  • USB: 1x USB 3.0 Type A port 2x USB 2.0 Type A ports 1x USB 2.0 Micro-B (Device Mode)
  • Display: HDMI
  • 40-Pin Header: GPIOs, I2C, I2S, SPI, PWM, UART
  • Camera: 1x MIPI CSI-2 connector
  • Storage: microSD (Card not included)
  • Power: USB-C 5V 3A

The developer kit also includes an 802.11ac wireless networking USB adapter.

The Jetson Nano 2GB Developer Kit is a powerful and accessible way for anyone to get started with AI and robotics. It’s great for hands-on learning and sees your work perceive and interact with the world around you in real-time.

The new NVIDIA Jetson Nano 2GB Developer Kit will be available worldwide in 100 mm x 80 mm x 29 mm dimensions and two versions with different wireless connectivity choices starting at the end of October 2020. 


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