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NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4

NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4
PB Tech price: PB Tech price:
$164 34  +GST $188 99  inc GST
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NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4

Get started today with the Jetson Nano Developer Kit!

NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA...

  • Brand: NVIDIA
  • Part #: SBCNV0001
  • UPC:192876667897
PB Tech price: PB Tech price:
$164 34 $188 99
 +GST  inc GST


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COMBO DEALS: Frequently Bought Together

Create your own combo deal with any of the items below and the NVIDIA SBC Jetson Nano Version: B01 Development...
NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4Samsung EVO PLUS 128GB Micro SDXC with Adapter, up to 100MB/s Read, 60MB/s Write
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$18955
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$21798
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This item: NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA...
$164.34 +GST$188.99 inc GST
Samsung EVO PLUS 128GB Micro SDXC with Adapter, up to 100MB/s Read, 60MB/s Write  View Product
$25.21 +GST$28.99 inc GST

Features

NOTE: Recommended Micro-USB Power Supplies: Raspberry Pi 5.1V 2.5A Raspberry Pi Universal Power Supply

NOTE: PLEASE READ Jetson Nano Developer Kit User Guide CAREFRULLY BEFORE TURN IT ON!



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.

Pinout diagram for J41 expansion header on Jetson Nano developer kit

Specifications

Developer Kit Contents:

NVIDIA Jetson Nano module and carrier board
Small paper card with quick start and support information
Folded paper stand

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 Encode

4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)

Video Decode

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 and display port

USB

4x USB 3.0, USB 2.0 Micro-B

Others

GPIO, I2C, I2S, SPI, UART

Mechanical

69 mm x 45 mm, 260-pin edge connector

Manufacturer Part No: - Brand: NVIDIA Product Type: Version: B01
UPC 192876667897 Product Family: SBC Shipping Weight: 0.15 kg
PB Part No: SBCNV0001 Product Model: Jetson Nano

Warranty: 12 months local warranty *
* Warranty period is as stated above unless the manufacturer has chosen to specify a longer period.
All warranties are return to base unless otherwise specified.

Reviews

3.5 out of 5 StarsBased on 2 Reviews

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Displaying 1 - 2 of 2 reviews

Runs Yolo very slowly

What are most people going to do with an AI edge device? Probably run some sort of object detection. Currently the most popular object detector is Yolo. Do any of the Nvidia Jetson Nano tutorials use Yolo?, Nope. Guess why: Some Yolo models after they are converted with TensorRT, don't fit in the Nano's 4GB of RAM. Others that do fit, run like a dog i.e. 2FPS.

G
By: Guest 06/04/21
1 out of 1 user found this review helpful
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Great product

excellent development board for Ai work

G
By: Guest 20/01/21
0 out of 1 user found this review helpful
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NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4

Get started today with the Jetson Nano Developer Kit!
  • Brand: NVIDIA
  • Part #: SBCNV0001
  • UPC:192876667897
PB Tech price: $164.34 Excluding GSTPB Tech price:$188.99 Including GST
Date Created: 04:01, 25-06-2021
Product URL: https://www.pbtech.co.nz/product/SBCNV0001/NVIDIA-SBC-Jetson-Nano-Version-B01-Development-Kit?qr=popular_related_products
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Features

NOTE: Recommended Micro-USB Power Supplies: Raspberry Pi 5.1V 2.5A Raspberry Pi Universal Power Supply

NOTE: PLEASE READ Jetson Nano Developer Kit User Guide CAREFRULLY BEFORE TURN IT ON!



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.

Pinout diagram for J41 expansion header on Jetson Nano developer kit

Specifications

Developer Kit Contents:

NVIDIA Jetson Nano module and carrier board
Small paper card with quick start and support information
Folded paper stand

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 Encode

4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)

Video Decode

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 and display port

USB

4x USB 3.0, USB 2.0 Micro-B

Others

GPIO, I2C, I2S, SPI, UART

Mechanical

69 mm x 45 mm, 260-pin edge connector

Date Created: 04:01, 25-06-2021
Product URL: https://www.pbtech.co.nz/product/SBCNV0001/NVIDIA-SBC-Jetson-Nano-Version-B01-Development-Kit?qr=popular_related_products
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