True
Product Image

NVIDIA Jetson Nano Developer Kit-B01

₱ 6,590.00 ₱ 6,590.00

NVIDIA Jetson Nano Developer Kit-B01

Create a new review

The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

1

₱ 6,590.00 ₱ 6,590.00 6590.0 PHP

₱ 6,590.00

(0% Off)
Days
:
Hours
:
Mins
:
Secs

    This combination does not exist.

    Add to Cart
    SKU:
    N/A
    Share :

    Nvidia

    NVIDIA provides a suite of machine learning and analytics software libraries to accelerate end-to-end data science pipelines entirely on GPUs. This work is enabled by over 15 years of CUDA development. GPU-accelerated libraries abstract the strengths of low-level CUDA primitives. Numerous libraries like linear algebra, advanced math, and parallelization algorithms lay the foundation for an ecosystem of compute-intensive applications.


    • 30-day money-back
    • 7-day returns
    • Shipping: 2-3 Days

    The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.


    The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.


    Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.


    The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers. 

    Features

    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
    I/O
    USB 3.0 Type A
    USB 2.0 Micro-B
    HDMI/DisplayPort
    M.2 Key E
    Gigabit Ethernet
    GPIOs, I2C, I2S, SPI, UART
    MIPI-CSI camera connector
    Fan connector
    PoE connector
    Kit Contents
    NVIDIA Jetson Nano module and carrier board
    Quick Start Guide and Support Guide  

    Changes with the B01 Kit

    Reinforce Your Projects with Grove Pi HAT

    If you want to use Grove sensors with Jetson Nano, grab the grove.py Python library and get your sensors up in running in minutes! Currently, there are more than 20 Grove modules supported on Jetson Nano and we will keep adding more. You can connect Grove modules using Base HAT for Raspberry Pi or Raspberry Pi Zero with Jetson Nano.

    Specifications

    • GPU: 128-core Maxwell

    • CPU:Quad-core ARM A57 @ 1.43 GHz

    • Memory: 4 GB 64-bit LPDDR4 25.6 GB/s

    • Storage: 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, I2C, I2S, SPI, UART

    • Mechanical: 100 mm x 80 mm x 29 mm

    Version Change Information for B01 from A02

    • The B01 revision carrier is compatible with the production specification Jetson Nano module. The A02 revision carrier is not.

    • Removed Button Header [J40] Position

    • Removed Serial Port Header [J44] Position

    • Adjusted the Position of Power Select Jumper [J48]

    • Adjusted the Position of Camera Connector [J13]

    • Added Camera Connector [J49] location

    • Factory JetPack Upgrade from 4.2 SDK to 4.3 SDK

    ECCN/HTS

    HS-CODE8543709990
    USHS-CODE8471410150
    UPC

    This is a preview of the recently viewed products by the user.
    Once the user has seen at least one product this snippet will be visible.

    Recently viewed Products

    To install this Web App in your iPhone/iPad press and then Add to Home Screen.