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Availability:
Only 1 left in stock, order soon!
Arrives
Friday, May 1
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
Jetson AGX Orin 64GB Dev Kit
Brand: NVIDIA
Model Name: Jetson AGX Orin 64GB Dev Kit
Ram Memory Installed Size: 64 GB
Memory Storage Capacity: 64 GB
CPU Model: ARMv7
RAM Memory Installed: 64 GB
Memory Storage Capacity: 64 GB
CPU Model: ARMv7
Connectivity Technology: Ethernet, USB, Display Port
Operating System: Ubuntu
Processor Brand: NVIDIA
Wireless Compability: Bluetooth
Compatible Devices: Cameras, Computers (PCs, laptops, tablets), Game Consoles, Smartphones, Printers, Keyboards, Speakers
RAM Memory Technology: LPDDR4X
Processor Count: 12
Total Usb Ports: 2
Brand: NVIDIA
Model Name: Jetson AGX Orin 64GB Dev Kit
Built-In Media: POWER ADAPTER AC Power Brick 90W, Quick Start and Support Guide, Type B (TW) Power Cable, Type B (US, CA, JP) Power Cable, Type I (CN) Power Cable, USB-C Cable
UPC: 812674025155
Model Number: P3730
Mfr Part Number: P3730
Manufacturer: NVIDIA
External Testing Certification: Não aplicável
Warranty Description: 1 year manufacturer
Item Weight: 5.4 Pounds
Frequently asked questions
If you place your order now, the estimated arrival date for this product is:
Friday, May 1
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.
To initiate a return, please visit our Returns Center.
View our full returns policy here.
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Top Amazon Reviews
Style: Developer Kit
Really good platform for running LLM's. Every AI runner is optimized for CUDA and Nvidia, and the performance is really good. Also, the setup is fairly easy; pretty much everything just works. The unified memory works really well and you can run it headless or with a decent UI. You just have to decide if you can't live without the performance of the AGX Spark.
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Reviewed in the United States on February 7, 2026 by Toby S
Style: Developer Kit
Very powerful device. Great for advanced projects and AI applications.
Reviewed in the United States on March 30, 2026 by Candido
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.
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Reviewed in the United States on December 21, 2025 by Larry Brooks
Style: Developer Kit
Item arrived exactly as described, brand new, factory sealed. Packaging was intact and the unit powered on without issues. Initial setup is straightforward: easy to connect to a monitor, keyboard, and mouse, and it boots immediately. That said, be aware this is older device. It ships with firmware and software last updated around 2023, which is expected, but important to know given how fast the AI ecosystem moves. To use it with modern AI frameworks, you’ll need to update the iGPU firmware, install a newer Jetson Linux release, and rebuild/install updated drivers and libraries. This isn’t plug-and-play for current AI workloads, but if you’re comfortable with Linux and system setup, it’s a great platform. I documented my full update and setup process in a Medium post for anyone interested.
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Reviewed in the United States on January 26, 2026 by Batuhan
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
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.
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Reviewed in the United States on April 14, 2024 by William A. Smith
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.
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Reviewed in the United States on April 28, 2025 by Mihos
Style: Developer Kit
nice choice, it's a good one
Reviewed in the United States on January 19, 2026 by cara001