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NVIDIA Jetson AGX Orin 64GB Developer Kit

  • Based on 48 reviews
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Arrives Sunday, Mar 15
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Features

  • The NVIDIA Jetson AGX Orin 64GB Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines.
  • The developer kit includes a Jetson AGX Orin 64GB module, and can emulate all the Jetson Orin modules. It supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.
  • Jetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC catalog.
  • Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.
  • With the computing capability of more than 8 Jetson AGX Xavier systems in a developer kit that integrates the latest NVIDIA GPU technology with the worlds most advanced deep learning software stack, youll have the flexibility to create tomorrows AI solution as well as todays.

Description

The NVIDIA® Jetson AGX Orin™ 64GB Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI- powered robots and other autonomous machines. The developer kit includes a Jetson AGX Orin 64GB module, and can emulate all the Jetson Orin modules. It supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high- speed IO and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion. Jetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC™ catalog. Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product. With the computing capability of more than 8 Jetson AGX Xavier systems in a developer kit that integrates the latest NVIDIA GPU technology with the world’s most advanced deep learning software stack, you’ll have the flexibility to create tomorrow’s AI solution as well as today’s.

Brand: NVIDIA


Model Name: Jetson AGX Orin 64GB Dev Kit


Ram Memory Installed Size: 64 GB


Memory Storage Capacity: 64 GB


CPU Model: ARMv7


Processor: ‎ARMv7


RAM: ‎LPDDR4X


Wireless Type: ‎Bluetooth


Brand: ‎NVIDIA


Series: ‎Jetson AGX Orin 64GB Dev Kit


Item model number: ‎P3730


Operating System: ‎Ubuntu


Item Weight: ‎5.4 pounds


Product Dimensions: ‎9.84 x 9.84 x 7.48 inches


Item Dimensions LxWxH: ‎9.84 x 9.84 x 7.48 inches


Processor Brand: ‎NVIDIA


Number of Processors: ‎12


Manufacturer: ‎NVIDIA


Date First Available: ‎March 20, 2023


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Sunday, Mar 15

Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.

To initiate a return, please visit our Returns Center.

View our full returns policy here.

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Top Amazon Reviews


  • Reliable On-Premise AI for Practical Marketing Use
Style: Developer Kit
Marketing teams are expected to move fast, personalize messages, and use data to make better decisions. Most AI tools push everything to the cloud, which causes delays, higher costs, and concerns about data privacy. If you work in marketing, this is frustrating. You have good data and strong ideas, but the tools don’t fit how your team actually works, and AI ends up feeling more complicated than helpful. The NVIDIA Jetson AGX Orin 64GB Developer Kit gave us a reliable way to run AI on our own systems. We can analyze data, generate insights, and support campaigns locally, without depending on outside services or slow connections. Instead of testing AI in small experiments, we now use it as part of our daily marketing workflow. It supports planning, content, and analysis in a consistent and secure way. Our marketing efforts are faster, more organized, and more effective. This platform helped us turn AI into a practical tool we trust, not just another piece of technology to manage. ... show more
Reviewed in the United States on December 21, 2025 by Larry Brooks

  • Great board
Style: Developer Kit
Excelent for prototyping AI projects.Easy to install the sdk and begin working !
Reviewed in the United States on December 28, 2025 by andres barbosa

  • Skip Learning Curve, Read this review!
Style: Developer Kit
Untold Pre Reqs : • Additional Computer Running Linux Based OS (eg. Ubuntu) • Installation of NVIDIA SDK Manager So out of the Box this device comes with a legacy OS & firmware. Which means most people will need to update the firmware along with my Jetson OS Version to work with some of the programs.In my case I was trying to get docker aka (Jetson-Containers) to work, which required Jetson 6... out of the box this device is on Jetson 5; In order to update to Jetson 6 you will need a computer on linux because there are no windows based installers of the SDK Manager. As long as you have a spare device on Ubuntu you can easily update this device with the SDK Manager, It's as easy as plugging in the USB-C that came in the box, selecting the device then selecting the version of Jetson you'd like to install. Hope this helps :) Have fun yall. ... show more
Reviewed in the United States on February 8, 2025 by Blake

  • Good discount !
Style: Developer Kit
It is also worth for personal with discount price.
Reviewed in the United States on December 19, 2025 by Yusuke Fukami

  • Impressive hardware specs - not stable on Jetpack 6.X
Style: Developer Kit
I am revising my original review listed below and downgrading my review to one star. NVIDIA gas finally made available a version of their software that ships with Ubuntu 22, but it is not stable. After executing "apt upgrade" video drivers for the Orin lock up the Orin on reboots, making it unusable. I re-imaged my Orin twice and had the same issue. This is not a new problem for NVIDIA, as I observed the forums for th Oring. A company of NVIDIA's stature should be able to ship more reliable software for their hardware. There are far better options for $2K to the Orin, don't waster your money. Original review ------------------ Most reviewers of hardware drool the Orin hardware specs, and this device has impressive specs. Impressive hardware specs do not matter if there is limited support for the libraries. The NVIDIA Orin is frozen in time in terms of the most important libraries. For example, I use Python 3.11 for most things, but the only version that ships with this product is 3.8. NVIDIA provides versions of Python libraries, like Pytorch, that are needed to take advantage of the Orin GPU, but if you are stuck on Python 3.8, you will be limited in your ability to perform many if not most AI programming tasks. To that end, for support of Large Language Models (LLMs), you are better off running an Intel processor based machine with a GPU board. From a cost standpoint this is certainly cheaper. I realize this device is oriented towards image processing in support of IoT or Robotics projects. If you are processing images from an array of cameras, the Orin is a decent solution. As a platform for running local LLMs look elsewhere. Lastly, buyers need to be aware that if this Orin is to be re-flashed, or re-imaged, you really need to have an Intel based Linux machine, running Ubuntu 20!. I upgraded my Orin using the utility provided for this purpose. It is not easy and something only the most experienced pros can handle, IMHO. ... show more
Reviewed in the United States on April 14, 2024 by William A. Smith

  • Great device!
Style: Developer Kit
I have been using this for a week now, and I love this device. It is a little slower than a proper GPU, but having this much memory available is what makes it good. Definitely add an NVMe drive. The 64 gigs of storage will disappear fast. This is a dev kit, so expect to spend a lot of time learning the tool set and make sure you use the torch versions from Nvidea. I have been able to run Framepack, ComfyUI (with several workflows), several LLMs, and SparkTTS so far. The only one that I haven't got working yet is Riva from one of the voice chat examples. ... show more
Reviewed in the United States on April 28, 2025 by Mihos

  • Entrega rápida
Style: Developer Kit
Llego muy rápido y cumplió con las espectativas
Reviewed in the United States on November 9, 2025 by Tienen un muy buen sonido, se ajusta a tus oídos de manera que aísla el sonido. Muy buena compra

  • Not well supported
Style: Developer Kit
The smaller, cheaper models are more supported by nVidia, than this expensive one. It doesn't support the latest Ubuntu, like the nano, which means most things just don't work. The example containers they give for testing also fail. Even after modifying the sample docker configuration to be valid syntax with the version of the tools provided, the test containers fail to run. After several dozen hours of setup, I haven't been able to get a single llm to run on this, yet... Which is the primary purpose of purchasing the large memory. ... show more
Reviewed in the United States on December 14, 2025 by King Dopey

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