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Nvidia Unveils DGX Spark, the World’s Smallest AI Supercomputer, and Hands One to Elon Musk

Nvidia Unveils DGX Spark, the World’s Smallest AI Supercomputer, and Hands One to Elon Musk
CNET

Nvidia Introduces the DGX Spark

Nvidia has rolled out the DGX Spark, which the company touts as the world’s smallest AI supercomputer. The new system packs a petaflop of computing power and 128 GB of unified memory into a package roughly the size of a piece of origami paper. Its dimensions are about 5.91 inches by 5.91 inches with a thickness of 1.99 inches, making it comparable in size to a hardback book.

The DGX Spark is priced at approximately $4,000 and will be available for order through Nvidia’s website beginning on October 15. This price point and form factor represent a dramatic shift from Nvidia’s earlier DGX offerings, which were considerably larger, heavier, and far more expensive.

Comparison to Earlier DGX Models

The first DGX system, introduced in 2016, delivered 170 teraflops of performance, measured 34.1 inches by 17.48 inches, and was more than five inches thick. That original machine carried a price tag of $129,000. By contrast, the DGX Spark’s one‑petaflop capability, while lower in raw performance, delivers a modern, portable solution for developers and researchers who need high‑speed AI processing without the overhead of a full‑size data‑center rack.

Hand‑Delivered Demo to Elon Musk

In a symbolic gesture, Nvidia CEO Jensen Huang hand‑delivered a signed DGX Spark to Elon Musk at SpaceX’s Starbase facility in Texas. The delivery underscores the ongoing relationship between Nvidia and Musk, who previously received the first DGX‑1 computer from Huang in 2016 as part of an OpenAI collaboration.

The event highlights Nvidia’s commitment to bringing cutting‑edge AI hardware directly to influential technology leaders, reinforcing the company’s position at the forefront of AI acceleration.

Implications for the AI Market

The DGX Spark’s compact size and affordable price could broaden access to high‑performance AI hardware, enabling startups, academic labs, and smaller enterprises to experiment with petaflop‑scale workloads without the capital expense of larger systems. By packaging substantial compute power into a portable form factor, Nvidia aims to accelerate AI development across a wider range of use cases.

Overall, the DGX Spark represents a notable evolution in Nvidia’s AI supercomputing line, balancing performance, affordability, and portability while maintaining the brand’s reputation for delivering industry‑leading hardware.

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Source: CNET

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