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  3. NVIDIA 945-13450-0000-000-2PUFV7W1

945134500000000 NVIDIA Jetson Nano Kit

945134500000000 NVIDIA Jetson Nano Kit
Item Aspects
BrandNVIDIA
Manufacturer Part Number945-13450-0000-000-2PUFV7W1

Review NVIDIA Surplus 945-13450-0000-000 Jetson Nano 4gb Kit

The NVIDIA Jetson Nano 4GB Kit, model number 945-13450-0000-000-2PUFV7W1, is a powerful and versatile development board designed for artificial intelligence (AI) and machine learning (ML) applications. With its advanced NVIDIA Maxwell architecture GPU, this board offers significant computing power to run various deep learning frameworks and high-performance computations.

At its heart, the Jetson Nano 4GB features a quad-core ARM Cortex-A57 processor and a 128-core NVIDIA Maxwell GPU, which delivers impressive performance for its size and power consumption. This make it an excellent choice for edge computing, robotics, and embedded systems.

The board comes with 4GB of LPDDR4 memory, which provides ample storage for larger machine learning models and deep learning projects. Additionally, it offers 16GB of eMMC storage, expandable via microSD and SATA interfaces, ensuring that your project files and data are easily accessible.

With the Jetson Nano 4GB Kit, you also get an HDMI 2.0 display port and 2 MIPI CSI-2 camera connectors, enabling you to connect to various displays and machine vision systems. Additional onboard features include Gigabit Ethernet, Wi-Fi, and Bluetooth connectivity, making it easy to connect to the internet or other devices.

This development kit also includes multiple input/output (I/O) interfaces, such as USB 3.0, USB 2.0, MIPI-CSI, and MIPI-I2S, allowing you to connect a wide range of sensors and peripherals. Furthermore, the Jetson Nano 4GB supports wide-ranging power options, including a 5V DC power jack and a USB Type-C power port.

Lastly, the NVIDIA Jetson Nano 4GB Kit comes with the NVIDIA JetPack 4.3 software suite, including CUDA-X AI and TensorRT software packages, as well as a comprehensive set of development tools, APIs, and documentations. This simplicity removes potential software hurdles and speeds up development timelines.

In summary, the NVIDIA Jetson Nano 4GB Kit, model number 945-13450-0000-000-2PUFV7W1, is a powerful and versatile development board offering impressive AI and ML capabilities, extensive I/O interfaces, a wide range of connectivity options, and easy-to-use software tools, making it an ideal choice for developers, researchers, and hobbyists looking to build innovative projects in edge computing, robotics, and more.

The NVIDIA Jetson Nano 4GB Kit (model number 945-13450-0000-000-2PUFV7W1) is a development board designed for artificial intelligence and machine learning applications. Here are some pros and cons of buying this specific model:

Pros:

1. Affordable: The Jetson Nano is one of the most affordable high-performance artificial intelligence and machine learning development boards available, making it an attractive option for hobbyists, students, and small businesses.

2. Powerful: Despite its low price point, the Jetson Nano is equipped with a 128-core Maxwell GPU and a quad-core ARM Cortex-A57 CPU, making it capable of running various deep learning frameworks such as TensorFlow, PyTorch, and Caffe.

3. Small form factor: The Jetson Nano has a compact size, measuring only 82mm x 57mm. This makes it easy to incorporate into projects that require a small footprint.

4. I/O options: The Jetson Nano provides a range of connectivity options, including HDMI, MIPI CSI-2 camera interface, MIPI DSI display interface, and M.2 PCIe storage expansion.

5. Linux-based software support: NVIDIA provides a free Ubuntu-based operating system (i.e., JetPack) for the Jetson Nano, making it easy for developers to get started with their projects.

Cons:

1. Limited memory: While the base model of the Jetson Nano comes with 4GB of RAM, this might not be sufficient for applications requiring large datasets or complex deep learning models.

2. Limited expandability: The Jetson Nano does not offer easily upgradable components, such as the CPU or GPU. Additionally, the M.2 PCIe expansion slot is essentially fixed in place, making upgrades difficult.

3. Limited real-time handling: Due to its ARM architecture, the Jetson Nano is not ideal for latency-sensitive applications, such as robotics control or real-time computer vision.

Conclusion:

The NVIDIA Jetson Nano 4GB Kit (model number 945-13450-0000-000-2PUFV7W1) offers a powerful and affordable platform for artificial intelligence and machine learning development, with a wide range of connectivity options and a small form factor. However, its limited memory and expandability, alongside some constraints in real-time handling, may make it unsuitable for certain projects that require high performance or expandability. Overall, the Jetson Nano is an excellent choice for hobbyists, students, and small businesses that wish to dabble in AI and machine learning projects without the need for large datasets or complex models.

Recommendation:

If you are in the market for a low-cost, high-performance development board for AI and machine learning projects, consider the NVIDIA Jetson Nano 4GB Kit. However, if you anticipate needing more memory, real-time handling or expandability, you may want to consider other, more powerful NVIDIA development boards such as the Jetson AGX Xavier or Jetson TX2.

Details:

Part number: 945-13450-0000-000. Tested and guaranteed to be working. Condition: new no box.: jetson nano 4gb kit.

Manufacturer: Nvidia.

specifications busitestercalib:

  • brand: Nvidia
  • mpn: 945-13450-0000-000-2pufv7w1

general busitestercalib:

  • category: Business & Industrial > Test, Measurement Inspection > Testers Calibrators

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  • service: ups ground, ups 2nd day air, ups next day air
  • carrier: ups
  • class: standard, expedited, one-day
  • type: fixed
  • transit: 3-8 days

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  • rating: 100.0%
  • city: san diego, california
  • # reviews: 5004

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offer busitestercalib:

  • availability: in stock
  • sold #: 42
  • prices: $92.00–$340.00
  • item condition:
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  • options: ship-to-home
  • started: january 28, 2025
  • in stock #: 5
rating: 100.0% out of 100 based on 4 user ratings.
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