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NVIDIA

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

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Availability: Only 2 left in stock, order soon!
Fulfilled by Amazon
Arrives Wednesday, Sep 16
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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


Item Weight: 1.2 kg


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


Unit Count: 1 Count


UPC: 810152850299


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: Wednesday, Sep 16

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

    • Compact platform for local AI experiments
A compact way to explore local AI workloads. I like having a dedicated system that can sit on my desk without taking up the space of a full workstation. The small enclosure is easy to place, and the platform feels purpose-built for experimenting with models and developer tools locally. Setup takes some planning, especially around software, storage, and how you want to connect it to your existing workflow, so this is better suited to enthusiasts and technical users than someone looking for a plug-and-play office PC. For the right use case, the compact format and specialized hardware make it an interesting addition to a home lab or development setup. ... show more
Reviewed in the United States on September 5, 2026 by Van West
    • Great for clustering
I have four of these computers in a cluster. I wouldn't necessarily recommend this as a standalone unit as the on-board CX-7 NIC is an expensive part to have to buy and not use, but that detail makes it ideal for running in a cluster. PROS: - Large memory overhead for the money (128gb unified) - Low power (< 240W) - Fast networking (200Gb/s) - CUDA / NCCL support CONS: - Not all that fast on the CPU or GPU for the money ... show more
Reviewed in the United States on August 28, 2026 by Adam
    • Does what it says.
Runs nice I've been able to load the large models I want for a dual cline setup for vibe coding. With the current prices it's only a little more than the knockoffs and 4tb instead of 1tb. It's been solid after the initial tuning to get the models I wanted running. It doesn't like my 5120x1440 monitor which kept crashing gdm and the model with it so I run headless now or in pip. Not a big deal I'm not at a normal display resolution. beats buying 5 gpu's to get the memory I want. Though it's not as fast. But that's fine I run two machines with my 4090 and spark with claude code or cline which makes it feel snappy in a dual llm config and gives me the 256k context I like. ... show more
Reviewed in the United States on August 10, 2026 by Oliver
    • 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
    • Great device.
I love them. I have two, networked. Don't use AI to set them us, just follow the Nvidia web instructions.
Reviewed in the United States on September 8, 2026 by Ian DeRock
    • Wifi issues
To the embarrassment of NVIDIA engineers, the WiFi drivers weren't working, and the system wouldn't even finish the initial boot process. I had to boot from a USB stick, set a root password, and fix everything myself. It's a total disgrace.
Reviewed in the United States on April 5, 2026 by Ahiro
    • 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
    • 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

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