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NVIDIA

NVIDIA Jetson AGX Orin 64GB Developer Kit

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Arrives Thursday, Sep 4
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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: ‎945-13730-0050-000


Operating System: ‎Ubuntu


Item Weight: ‎5.39 pounds


Package Dimensions: ‎9.84 x 9.84 x 7.48 inches


Processor Brand: ‎NVIDIA


Number of Processors: ‎12


Manufacturer: ‎NVIDIA


Country of Origin: ‎China


Date First Available: ‎March 20, 2023


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Thursday, Sep 4

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Top Amazon Reviews

    • 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
    • Nice little computer for experimenting with AI
Style: Developer Kit
An interesting little computer. Runs an ARM variant of Ubuntu, which is pre installed on the eMMC flash drive. Shared RAM like a Mac, so it will support running fairly large models. It's not completely clear how to go about upgrading it to the latest (you use the software developer kit that is a download from Nvidia, with both a USB connection and Ethernet connection to the computer running the SDK). If you want to run an LLM on it, you will need to reinstall the OS to an NVMe drive (not included). ... show more
Reviewed in the United States on February 23, 2025 by W. Scott Jarriel
    • 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
    • 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
    • Real and fast
Style: Developer Kit
Received the authentic Nvidia Orin AGX, and it runs just fine. Now the real work begins...
Reviewed in the United States on April 14, 2025 by Marcy
    • This tiny cube satisfies
Style: Developer Kit
All I can say is that this tiny cube truly satisfies my needs. Of courxe, it may not be strong enough for your needs, but if, like me, you are doing deep experimentation on machine reading, this one satisfies.
Reviewed in the United States on March 21, 2025 by J. Park
    • Powerful AI system
Style: Developer Kit
Review Image by H. Michael Covert H. Michael Covert
This is a very powerful AI system. It's setup was very straight forward and it comes equipped with the full nVidia AI development stack. It runs Ubuntu 20.04 pre installed, and includes Docker. 64gb of main memory is more than sufficient. I added a 4TB SSD for additional storage. In addition to being a powerful AI system, it is also a fully loaded Linux workstation, and the nVidia GPU allows it to run large LLMs. If you are serious about getting involved with state of the art AI development, this system is an excellent choice. ... show more
Reviewed in the United States on January 10, 2025 by H. Michael Covert H. Michael Covert
    • Great for tinkering with AI at a entry level cost point
Style: Developer Kit
The memory is shared between GPU and CPUs, but at 64 GB, there is plenty of room to run 70B parameter models. It is also great for fine tuning smaller models, something that is cost prohibitive with CSPs. The community behind the software projects for Jetson is really amazing; for customized copilots you can get up and running in a few hours using really high quality containers from the Nvidia community. My experience is based on fitting out the unit with 2TB of NVMe. ... show more
Reviewed in the United States on December 28, 2024 by Eric Kumar

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