In a symbolic and innovative gesture, Nvidia CEO Jensen Huang personally delivered the company’s latest AI innovation, the DGX Spark, to Elon Musk and Sam Altman. This event marked a significant moment in the advancement of AI computing, as Nvidia unveiled its most compact and powerful supercomputer to date. Huang’s first stop was SpaceX’s Starbase in Texas, where he presented the DGX Spark to Musk just prior to SpaceX’s 11th Starship test flight. Standing next to the gigantic rocket, Huang humorously remarked, “Delivering the smallest supercomputer next to the biggest rocket.” The DGX Spark, no larger than a shoebox, is capable of handling AI models with up to 200 billion parameters.
In a video posted by Musk on X, the two technology leaders enjoyed lunch in SpaceX’s cafeteria while discussing Nvidia’s early collaborations with OpenAI. Huang reflected on how he had delivered the first DGX-1 years ago, emphasizing that the new Spark continues that vision by bringing data-center-level power directly to innovators. After Texas, Huang traveled to San Francisco for a reunion with Sam Altman at OpenAI’s headquarters, recreating a scene reminiscent of Nvidia’s partnership with OpenAI in 2016, when the DGX-1 was instrumental in OpenAI’s significant AI research breakthroughs. The recent meeting, although smaller in scale, had a much greater impact. OpenAI co-founder Greg Brockman expressed gratitude on X, stating, “Thanks Jensen for the hand delivery of DGX Spark.
Best delivery service ever. Amazing to see so much compute (1 petaflop!) in such a tiny form factor.” Altman echoed the sentiment, remarking, “Things have come a long way since the delivery of the DGX-1 nine years ago; amazing to see.” The Nvidia DGX Spark is marketed as the world’s first “personal AI supercomputer,” merging portability with exceptional performance. Weighing only 1.2 kilograms, it offers up to 1 petaflop of computing power, supported by Nvidia’s advanced GB10 Grace Blackwell Superchip. It features 128GB of unified memory, NVLink-C2C connectivity, ConnectX networking, NVMe storage, and HDMI output, making it suitable for training, inferencing, and visualizing AI workloads directly on a desk.
On the software side, Spark operates with the complete Nvidia AI stack, preloaded with frameworks, pretrained models, and NIM Microservices. This allows developers, researchers, and artists to create chatbots, generative vision tools, and other AI innovations without relying on cloud services. To bring the DGX Spark to market, Nvidia collaborated with major tech brands such as Acer, ASUS, Dell, HP, Lenovo, GIGABYTE, and MSI. Early adopters include Ollama in Palo Alto, NYU Global Frontier Lab, Zipline, Arizona State University, and artist Refik Anadol’s studio. Officially launched on October 15, the DGX Spark is available through Nvidia.com and authorized retailers globally.
From the massive launch pad at SpaceX to OpenAI’s cutting-edge research facility, Huang’s rapid deliveries conveyed a vital message — the future of AI hinges not only on raw power but also on accessibility and portability.
