NVIDIA has marked a major milestone in AI development by officially kicking off the shipping program for the DGX Spark™—the world’s smallest AI supercomputer. Notably, to commemorate the event, NVIDIA founder and CEO, Jensen Huang, personally delivered one of the first DGX Spark units to Elon Musk, Chief Engineer at SpaceX, live from Starbase, Texas.
Supercomputing Power on the Desktop
The DGX Spark is designed to revolutionize how developers and researchers build, test, and deploy AI applications. Featuring a compact desktop form factor, the DGX Spark delivers unprecedented performance:
Petaflop Performance: Provides up to 1 petaflop (FP4) of AI performance, transforming the desktop into a powerful AI development hub.
Grace Blackwell Architecture: Built on the advanced NVIDIA Grace Blackwell architecture, the DGX Spark integrates GPUs, CPUs, networking, CUDA® libraries, and the full NVIDIA AI software stack.
Large Model Capability: Enables developers to run inference on AI models with up to 200 billion parameters and fine-tune models of up to 70 billion parameters locally.
Jensen Huang referred to the DGX Spark as "a new class of computer" that accelerates the development of agentic AI and physical AI models, making complex prototyping and algorithm testing faster and more secure, particularly for sensitive sectors like healthcare.
The Symbolic Handover
CEO Huang's personal delivery of the DGX Spark to Elon Musk at Starbase carries deep symbolic weight. SpaceX, the company leading the space revolution, relies heavily on AI for rocket control, data analysis, and automation.
The moment of delivery, set against the backdrop of towering engines and gleaming steel at the rocket launch center, reaffirmed the DGX Spark's position not just as a conventional development tool but as a "launchpad" for the next generation of AI.
Ready for Developers Worldwide
Starting Wednesday, October
The DGX Spark represents not just a breakthrough in size and performance but a platform built on collaboration, ready to move AI out of massive data centers and directly onto the desks of creators everywhere.
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