NVIDIA’s DGX Spark, the world’s smallest AI supercomputer, is making headlines as it begins shipping to developers worldwide. In a significant move, NVIDIA founder and CEO Jensen Huang personally delivered one of the first DGX Spark units to Elon Musk at SpaceX’s Starbase facility, marking a new chapter in accessible AI computing for professionals, researchers, and creators alike.

NVIDIA DGX Spark: Redefining Desktop AI Computing

NVIDIA’s DGX Spark reimagines what’s possible in desktop AI, offering a powerhouse machine about the size of a folded sheet of paper and as thick as a hardback book. Designed specifically for demanding AI workloads, it delivers up to one petaflop of AI performance and 128GB of unified memory—making it possible to run models with up to 200 billion parameters and fine-tune models with up to 70 billion parameters without ever leaving the desktop.

“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, kickstarting the AI revolution,” said Jensen Huang, founder and CEO of NVIDIA. “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 — placing an AI computer in the hands of every developer to ignite the next wave of breakthroughs

Major Industry Partnerships and Global Ecosystem

NVIDIA has partnered with major technology brands, including Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo, and MSI, to roll out DGX Spark systems globally, democratizing access to high-powered AI hardware for workstations, labs, and offices. These systems will be available through NVIDIA’s website and channel partners worldwide, as well as through select retailers like Micro Center in the United States.

Early adopters span a who’s who of technology and research, including Google, Microsoft, Meta, Hugging Face, Anaconda, JetBrains, Cadence, LM Studio, Ollama, Docker, ComfyUI, Roboflow, and NYU’s Global Frontier Lab, among others. These organizations are currently testing, optimizing, and validating their platforms and models on the DGX Spark to unlock new AI applications and developer workflows.

A Nod to History and the Future of AI

“DGX Spark allows us to access peta-scale computing on our desktop,” said Kyunghyun Cho, professor of computer and data science at the NYU Global Frontier Lab. “This new way to conduct AI research and development enables us to rapidly prototype and experiment with advanced AI algorithms and models — even for privacy- and security-sensitive applications, such as healthcare.”

Transforming Research and Development

DGX Spark’s unified-memory architecture is particularly valuable for researchers who need seamless access to large models and datasets. Its robust capabilities make it possible to rapidly prototype, experiment, and fine-tune models locally—even crucial for privacy- and security-sensitive sectors like healthcare. Academics at institutions like NYU Global Frontier Lab highlight how Spark enables “peta-scale computing on our desktop,” creating opportunities for rapid advances across AI science.

Pricing and Availability

The DGX Spark is now available for order for $3,999 via NVIDIA.com, with shipments and partner models rolling out worldwide starting October 15, 2025.