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NVIDIA DGX Spark™ - Personal AI Desktop Supercomputer – Desktop GB10 Grace Blackwell Chip

  • Based on 66 reviews
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Availability: Only 2 left in stock, order soon!
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Arrives Friday, Jul 17
Order within 9 hours and 34 minutes
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Features

  • Supercomputer performance directly to your desk in a compact, energy-efficient design, enabling enterprise-scale AI and high-performance computing right where you need it.
  • The power of Grace Blackwell architecture, delivering up to 1 petaFLOP of AI performance for local model fine-tuning, inference, and analytics, accelerating your time-to-solution.
  • Designed from the ground up to build and run AI, delivering seamless integration of the full NVIDIA AI software stack so you can develop locally and deploy anywhere.
  • NVIDIA DGX Spark gives you the freedom to experiment, prototype, and innovate faster by augmenting laptop, desktop, cloud, or data center resources. With more power to learn, prototype, test, and innovate, NVIDIA DGX Spark delivers exceptional ROI for increased productivity.
  • Use NVIDIA DGX Spark to unlock new ideas and experiment with large models (up to 200 billion parameters at FP4) directly on your desktop with 128GB of unified memory. Empower rapid testing, validation, and iterationdriving innovation in a secure, high-performance setting.

Description

Supercomputer performance directly to your desk in a compact, energy-efficient design, enabling enterprise-scale AI and high-performance computing right where you need it. The power of Grace Blackwell architecture, delivering up to 1 petaFLOP of AI performance for local model fine-tuning, inference, and analytics, accelerating your time-to-solution. NVIDIA DGX Spark provides a platform for developers to create, test, and validate AI models Improve the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark NVIDIA DGX Spark delivers 128GB unified memory and 1 petaFLOP of AI performance for complex AI tasks Fifth-generation Tensor Cores accelerate inference of AI models to test & deploy from the DGX Spark NVIDIA frameworks include Isaac, Metropolis, and Holoscan

Brand: NVIDIA


Operating System: NVIDIA DGX OS


CPU Model: Cortex


CPU Speed: 3.8 GHz


Cache Size: 4


Graphics Card Description: Dedicated


Graphics Coprocessor: Integrated Graphics


Memory Storage Capacity: 4 TB


Specific Uses For Product: Business, Education


Personal computer design type: Mini PC


Operating System: NVIDIA DGX OS


Specific Uses For Product: Business, Education


Personal Computer Design Type: Mini PC


Color: Gold


Additional Features: 128GB of coherent, unified system memory, 4TB NVME.M2 with self-encryption, ConnectX-7 Smart NIC, NVIDIA GB10 Grace Blackwell Superchip, Up to 1 PFLOPS of FP4 AI performance


Hard Disk Description: SSD


Hardware Interface: Bluetooth, Ethernet, HDMI, USB


Item Dimensions: 9.5 x 9.5 x 6 inches


Video Output Interface: HDMI


Hard Disk Interface: Solid State


Style Name: Minimalist


Video Output: HDMI


Cache Memory Installed Size: 4


Memory Storage Capacity: 4 TB


RAM Memory Installed: 128 GB


RAM Memory Technology: DDR5


Ram Memory Maximum Size: 128 GB


RAM Type: DDR5 RAM


Processor Series: Cortex


Processor Speed: 3.8 GHz


Processor Socket: SoC


Processor Count: 20


Total Usb Ports: 4


Total Number of HDMI Ports: 1


Number of Component Outputs: 1


Human-Interface Input: Keyboard


Keyboard Description: Standard, Wired Keyboard


Keyboard Layout: QWERTY


Brand: NVIDIA


Model Number: DGX Spark


Model Name: NVIDIA DGX Spark


Built-In Media: Power Adapter


Processor Brand: ARM


Model Year: 2025


CPU Model Number: ARM Cortex-X925 + ARM Cortex-A725 Processor


Warranty Description: 1 Year Limited Warranty


UPC: 810152850299


Unit Count: 1.0 Count


Manufacturer: NVIDIA


Graphics Description: Dedicated


Graphics Coprocessor: Integrated Graphics


Graphics Card Ram: 128 GB


Graphics Ram Type: DDR5 SDRAM


Graphics Card Interface: Integrated


Display Resolution Maximum: 3840x2160


Aspect Ratio: 169


Resolution: 3840 x 2160


Native Resolution: 3840 x 2160


Connectivity Technology: Bluetooth, Ethernet, USB, Wi-Fi


Wireless Network Technology: Wi-Fi


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Friday, Jul 17

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


  • Great reliable system for AI local models, Highly recommended
Fantastic device, reliable and fast highly recommended
Reviewed in the United States on April 22, 2026 by David A. Nauta

  • Excellent for local LLM research
Excellent for local LLM research. It gave me a shock when it appeared not to boot up after first setting it up. It turned out it just needed some time and started up after a while. That was not at all obvious though. It’s basically silent and it doesn’t have any lights to show that it’s even on. I feel like nvidia could at least have forked out for an off/on light on the case. ... show more
Reviewed in the United States on March 1, 2026 by P. Martin

  • Running 27B models locally!
I'm runninng the qwen 3.6:27B model through ollama and opencode. Reviewing codebases and finding issues, mapping to schematics and tracing runtime problems. This system is letting me use current tools on an ITAR codebase without having to worry about code exposure and yes I am getting results in an accepatable time. No its not as fast as running with Gemini or Claude but it is entirely local and secure. ... show more
Reviewed in the United States on June 6, 2026 by Amazon Customer

  • It broke my heart
Actually, I’m very impressed with this item. It works as deign and I plan to re-buy this in the future when they fix the thermal issue soon as I got everything set up and it loaded and working just the way I wanted it. I ran into this thermal problem where it kept cutting off without notice Crashing without notice that I was running it broke my heart to send it back because I really wanted it. I will buy this again in the future when they fix the thermal issue. I have an issue with the seller. The item kept overheating and I was forced to return it, but the seller charged me $1000 restocking fee so that tells me that they’re gonna put a broken item back on the shelf to resell it to somebody else and charge them a restocking fee if you really want the item buy it if Amazon is selling it or buy it from Nvidia do not under no circumstances buy from Micro Center because they won’t treat you right ... show more
Reviewed in the United States on November 23, 2025 by Victor Williams

  • DGX Spark Founders Edition 4TB Review
Good products, value for maney
Reviewed in the United States on May 27, 2026 by jeffm

  • OpenClaw Monster
Purchased just for OpenClaw. Its doing amazing at running all free and uncensored models through ollama, OpenClaw has full admin rights of the system and downloads whatever it needs, uses ComfyUI to generate images and products. Huge amount of resources and it loads massive models with zero problems, fast responses the same as the cloud services or quicker. ... show more
Reviewed in the United States on May 18, 2026 by Jesse

  • Too expensive if you don't absolutely need it
Good machine but the price is getting ridiculous.
Reviewed in the United States on June 4, 2026 by I. Foraker

  • Powerhouse
I am pretty knowledgeable with Linux terminal/command prompts which makes it very user friendly for my skill set. I usually SSH in from any of my other computers. For what I don't know, I use different LLM for helping solve the task that I work on. I am currently using at as a hobby dev project on my home lab. Its definitely been a great asset with helping make other agents for other task. I have very large LLM running locally. One of them is helping with discover more about my business and better ways I can run it. Its very quiet very fast. If you are considering ordering one, if you don't have another computer you can login via phone to setup your connection to wifi. It doesn't come with usb-c keyboard or mouse. If you have old USB keyboard and mouse, you will need USB to usb-c converter, if you don't know how to ssh from another computer to the DGX Spark ... show more
Reviewed in the United States on February 21, 2026 by ooTo

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