NVIDIA Jetson Nano Developer Kit is a compact but extremely powerful computer that allows you to run multiple neural networks in parallel for image processing applications and is extremely simple to use. Let’s learn more details about this Jeston Nano Developer Kit with Adtech!

GENERAL INTRODUCTION

NVIDIA Jetson Nano Developer Kit is a compact but extremely powerful computer that allows you to run multiple neural networks in parallel for image processing applications and is extremely simple to use. Let’s learn more details about this Jeston Nano Developer Kit with Adtech!

In recent times, advances in the field of Artificial Intelligence (AI) research have opened up opportunities to develop algorithms applied in a variety of fields, from image recognition to instant translation. time. Although there has been significant progress, putting these advances into practice is still in the early stages, and there is concern that the process is moving slowly due to software development. Hardware support for AI cannot quickly respond to software requirements.

On February 18, NVIDIA introduced a new product, billed as “bringing acceleration to real-world AI algorithm deployment.” That is the Jetson Nano, an AI computing device specifically designed for developers, manufacturing companies and researchers in the field of Artificial Intelligence.

NVIDIA’s Jetson Nano Developer Kit is an integrated AI computer with a small footprint, similar to a circuit board. This device uses the SO-DIMM size standard for size and connection standards, a standard that NVIDIA has applied on previous products.

They chose this size standard with the goal of creating products with the smallest possible size. This is intended to meet the needs of a wide range of customers, operating in many different fields and applications, and NVIDIA is trying to design the interconnect circuit to fit as much as possible with the general design they want. is developing.

HARDWARE CONSTRUCTION

Jetson Nano will come in two different forms. The modular form measures 70x45mm, created for integration into final products. The other form is a development kit, similar to the Raspberry Pi, for developers. The modular version will be equipped with 16GB of internal memory, while the kit uses a microSD card.

NVIDIA plans to use the Jetson Nano for two main purposes. First of all, the development kit will be useful for commercial organizations that want to develop machine learning products. These products can start with a development kit and then move on to using modules for the final product, just like other Jetson boards and modules are used. Second, enthusiasts may never use the modular version, but they want to create development kit-based projects, similar to the Raspberry Pi.

NVIDIA will sell both modules and development kits through multiple distribution channels, as well as make them available to consumer markets through retail stores.

NVIDIA Jetson Nano Developer Kit has a full range of connection ports, including 4 USB 3.0 ports, HDMI port, DisplayPort, Ethernet port, along with popular connection standards such as SDIO, I2C, SPI, and UART. In addition, Jetson Nano also has an M.2 connection port and MIPI-CSI protocol to connect to the camera. Users also have the ability to connect the Jetson Nano to a Wi-Fi network if they don’t want to use a regular Ethernet connection.

SPECIFICATIONS

Jetson Nano is equipped with strong GPU support, including a 64-bit quad-core CPU based on ARM Cortex-A57 architecture, 4GB RAM, and a powerful video processor capable of handling 4K 30fps video for encoding and 4K 60fps for decoding. Additionally, it offers PCIe slots and USB 3.0 ports.

With the ability to deliver 472 GFLOPS, Jetson Nano can process modern AI algorithms quickly. It uses a 64-bit quad-core ARM CPU, an integrated NVIDIA GPU with 128 cores, and 4GB LPDDR4 memory. This allows it to run multiple neural networks simultaneously and process multiple high-resolution sensors at the same time.

Jetson Nano is also supported by NVIDIA JetPack, which includes support packages for the board, CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing and many other applications. The SDK provides the ability to install open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe/Caffe2, Keras and MXNet, helping developers integrate their preferred AI models or AI frameworks into their products. products quickly and easily.

The Jetson Nano’s video processing capabilities are impressive. It not only supports 4K video viewing, but is also capable of handling multiple video streams simultaneously. This makes object detection, tracking, or obstacle avoidance efficient. Jetson Nano is capable of simultaneously decoding 8 video or camera streams at Full HD 30fps resolution, and these streams can be effectively decoded and processed by machine learning algorithms for object tracking.

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