Nvidia Jetson Nano: a computer for AI application deployment

jetson nano

Recent advances in artificial intelligence have resulted in a number of algorithms used for applications such as facial recognition, voice recognition, instant translation and more.

And it is that during the GPU Technology Conference, an annual event hosted by Nvidia fThe Jetson Nano was presented which is a single card computer in the form of a 70 x 45mm module that will cost around $ 99 USD.

This new single card computer the Jetson Nano It is intended to be implemented in robots and other AI-powered devices.

Its objective is to reduce the total development timeas companies can upgrade performance and capabilities even after the system has been deployed.

News of the future availability of the Jetson Nano follows that of Jetson Xavier, a system-on-chip dedicated to artificial intelligence.

This time, Nvidia the global provider of processors and graphics chips has not closed its announcement to manufacturers or specialized houses capable of handling a system on a chip engraved at 12 nm in a 250 mm² die to integrate it into an application.

To differentiate itself from this approach, Nvidia will openly offer a dev kit around the Jetson Xavier card.

El Jetson Nano Developer Kit is a powerful small computer that allows the execution of multiple neural networks in parallel for applications such as image classification, object detection, segmentation and speech processing.

All in an easy-to-use platform whose consumption is not far from 5 watts.

About the Jetson Nano

The Jetson Nano Development Kit provides access to 472 gigaflops computing power or 472 billion floating point operations in one second.

The Nvidia Jetson Nano developer kit tiIt is priced at $ 99 USD, available right now, while the production-ready module will be available in June for $ 129. It's about the size of a portable RAM, and it only needs five watts.

jetson nano

Features

Jetson Nano Developer Kit Specifications:

  • Jetson Nano CPU Module
    • 128-core Maxwell GPU
    • Quad-core Arm A57 1,43 GHz processor
    • System memory - 4GB 64-bit LPDDR4 @ 25.6 GB / s
    • Storage: 16GB eMMC (production) microSD (devkit) or flash card slot
    • Video encoding - 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264 / H.265)
    • Video decoding - 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264 / H.265)
    • Dimensions - 70 x 45 mm.
  • Zócalo
    • 260-pin SO-DIMM connector for the Jetson Nano module.
    • Video output - HDMI 2.0 and eDP 1.4 (video only)
    • Connectivity - Gigabit Ethernet (RJ45) + 4-pin PoE header
    • USB: 4x USB 3.0 ports, 1x USB 2.0 Micro-B port for power or device mode
    • I / F Camera - 1x MIPI CSI-2 DPHY rails compatible with Leopard Imaging LI-IMX219-MIPI-FF-NANO and Raspberry Pi V2 camera module
    • Expansion
      • M.2 Socket Key E (PCIe x1, USB 2.0, UART, I2S and I2C) for wireless network cards
      • 40-pin expansion header with GPIO, I2C, I2S, SPI, UART signals
      • 8-pin button header with signals related to system power, reset, and forced recovery
    • Misc - Power LED, 4-pin fan header
    • Power supply: 5V / 4A through the power barrel connector or 5V / 2A through the micro USB port; optional PoE support
    • Dimensions - 100 x 80 x 29 mm.

The Jetson Nano can run Ubuntu and other Linux operating systems. In all, the Nvidia Jetson packs in an impressive 472 GFLOPS of computing performance.

In addition, there is support for high resolution sensors. The Jetson Nano can run tons of sensors in parallel and handles multiple neural networks per sensor.

Nvidia emphasizes that the latter supports a range of dedicated AI frameworks in which we find TensorFlow, PyTorch, Caffe, Keras, and MXNet.

"Jetson Nano makes AI more accessible to everyone and is backed by the same underlying architecture and software that powers supercomputers"

"Bringing artificial intelligence to the creator movement opens up a new world of innovation, inspiring people to create the next big thing."

On the manufacturer's website, pre-sales are open and the development kit is available for $ 99.


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