Nvidia DGX Spark launches as the world’s smallest AI supercomputer
The DGX Spark delivers data centre-level AI performance in a compact desktop form, marking Nvidia’s latest push to democratise supercomputing.
Nvidia has launched the DGX Spark, described as the world’s smallest AI supercomputer.
Designed for developers and smaller enterprises, the Spark offers data centre-level performance without the need for costly AI server infrastructure or cloud rentals. It features Nvidia’s GB10 Grace Blackwell superchip, ConnectX-7 networking, and the company’s complete AI software stack.
The system, co-developed with ASUS and Dell, can support up to 128GB of memory, enabling users to train and run substantial AI models locally.
Nvidia CEO Jensen Huang compared Spark’s mission to the 2016 DGX-1, which he delivered to Elon Musk’s OpenAI, marking the start of the AI revolution. The new Spark, he said, aims to place supercomputing power directly in the hands of every developer.
Running on Nvidia’s Linux-based DGX OS, the Spark is built for AI model creation rather than general computing or gaming. Two units can be connected to handle models with up to 405 billion parameters.
The device complements Nvidia’s DGX Station, powered by the more advanced GB300 Grace Blackwell Ultra chip.
Nvidia continues to dominate the AI chip industry through its powerful hardware and CUDA platform, securing multi-billion-dollar deals with companies such as OpenAI, Google, Meta, Microsoft, and Amazon. The DGX Spark reinforces its position by expanding access to AI computing at the desktop level.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
