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Nvidia Unveils Compact Computer for Desktop AI

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
October 18, 2025
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Nvidia Unveils Compact Computer for Desktop AI
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Introduction to Nvidia’s DGX Spark

Nvidia has introduced the DGX Spark, an ARM-based system designed for GPU processing. The DGX Spark runs on Nvidia’s DGX OS, an Ubuntu Linux-based operating system built specifically for GPU processing. It comes with Nvidia’s AI software stack preinstalled, including CUDA libraries and the company’s NIM microservices.

Pricing and Performance

Prices for the DGX Spark start at US $3,999. Although this may seem expensive, it is relatively affordable compared to high-end GPUs with ample video RAM, such as the RTX Pro 6000 (about $9,000) or AI server GPUs (like $25,000 for a base-level H100). However, the DGX Spark is not as powerful as these options. The GPU computing performance of the GB10 chip is roughly equivalent to an RTX 5070, but with 128GB of unified memory, the DGX Spark can run far larger models, albeit at a slower speed.

Key Features and Capabilities

The DGX Spark’s 128GB of unified memory allows it to run larger AI models, making it a more viable option for certain applications. For example, to run the 120 billion-parameter larger version of OpenAI’s recent gpt-oss language model, you’d need about 80GB of memory, which is far more than you can get in a consumer GPU. This makes the DGX Spark an attractive option for those who need to run large AI models.

A Callback to 2016

Nvidia founder and CEO Jensen Huang marked the occasion of the DGX Spark launch by personally delivering one of the first units to Elon Musk at SpaceX’s Starbase facility in Texas. This echoes a similar delivery Huang made to Musk at OpenAI in 2016. Huang stated, "In 2016, we built DGX-1 to give AI researchers their own supercomputer. I hand-delivered the first system to Elon at a small startup called OpenAI, and from it came ChatGPT. DGX-1 launched the era of AI supercomputers and unlocked the scaling laws that drive modern AI. With DGX Spark, we return to that mission."

Conclusion

The DGX Spark is a powerful tool for AI researchers and developers, offering a more affordable option for running large AI models. With its 128GB of unified memory and Nvidia’s AI software stack, the DGX Spark is an attractive option for those who need to run complex AI applications. As Nvidia continues to innovate and push the boundaries of AI technology, the DGX Spark is an exciting development that is sure to have a significant impact on the field.

FAQs

Q: What is the price of the DGX Spark?
A: The price of the DGX Spark starts at US $3,999.
Q: What is the GPU computing performance of the GB10 chip?
A: The GPU computing performance of the GB10 chip is roughly equivalent to an RTX 5070.
Q: How much memory does the DGX Spark have?
A: The DGX Spark has 128GB of unified memory.
Q: What is the significance of the DGX Spark’s launch?
A: The DGX Spark’s launch marks a return to Nvidia’s mission of providing AI researchers with their own supercomputer, similar to the launch of the DGX-1 in 2016.

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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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