NVIDIA Unveils DGX Spark: The World’s Smallest AI Supercomputer for Developers

NVIDIA has officially launched the DGX Spark, marking a major leap forward in compact AI computing. Touted as the world’s smallest AI supercomputer, the DGX Spark delivers data center-level performance in a desktop form factor, making advanced AI development accessible to a wider range of researchers, developers, and enterprises.

Priced at $3,999, the DGX Spark is powered by NVIDIA’s cutting-edge Grace Blackwell architecture and boasts one petaflop of sparse FP4 tensor performance. It’s designed to handle massive AI workloads, including models with up to 200 billion parameters, without relying on traditional large-scale data centers.

NVIDIA DGX Spark: Redefining Desktop AI Supercomputing

NVIDIA’s DGX Spark combines innovation and accessibility, packing immense computing power into a 150mm x 150mm x 50.5mm chassis.

It integrates a 20-core Arm CPU (featuring 10 Cortex-X925 and 10 Cortex-A725 cores) with NVIDIA’s Blackwell GPU, delivering 5th-generation Tensor Core performance for next-level AI computation.

With 128GB of unified LPDDR5x memory, the DGX Spark enables seamless CPU-GPU data sharing, minimizing latency during model training. 

The inclusion of 1TB or 4TB NVMe storage ensures rapid data access, while advanced networking capabilities, Wi-Fi 7, 10 GbE, ConnectX-7 smart NIC, USB-C, and HDMI 2.1a, make it ready for professional and research environments.

Compact Powerhouse with Scalable Performance

Despite its compact size, the DGX Spark supports clustering for multi-unit scalability. 

Two DGX Spark systems can be linked to train models of up to 405 billion parameters, offering flexibility for teams requiring additional computational power. This modular approach democratizes high-performance AI infrastructure, empowering small teams and independent developers.

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NVIDIA’s Vision: Democratizing AI Innovation

The DGX Spark continues NVIDIA’s mission to bring AI supercomputing to everyone. From the original DGX-1 in 2016 to this miniaturized powerhouse, NVIDIA has consistently driven accessibility and innovation in AI computing. 

By bridging the gap between desktop and data center performance, DGX Spark aligns perfectly with the growing demand for local, secure, and scalable AI model development.

Conclusion

NVIDIA’s DGX Spark represents the next evolution of accessible AI infrastructure, compact, powerful, and affordable. 

For just $3,999, developers can now access petaflop-class computing directly on their desktops, accelerating innovation across industries. With scalability, connectivity, and performance at its core, the DGX Spark is poised to redefine the landscape of AI hardware in 2025 and beyond.

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FAQ

What is the NVIDIA DGX Spark?

The DGX Spark is NVIDIA’s latest desktop-sized AI supercomputer offering one petaflop of FP4 tensor performance, powered by the Grace Blackwell architecture.

How much does the NVIDIA DGX Spark cost?

The DGX Spark is priced at $3,999 (excluding local taxes or tariffs).

Who is the DGX Spark designed for?

It targets AI developers, researchers, and enterprises looking for powerful on-premise AI computing without large data centers.

Can DGX Spark units be connected together?

Yes, two DGX Sparks can be clustered to scale performance for training models with up to 405 billion parameters.

What are the key specifications of the DGX Spark?

It includes a 20-core Arm CPU, integrated Blackwell GPU, 128GB unified LPDDR5x memory, 1TB–4TB NVMe storage, Wi-Fi 7, and 10 GbE connectivity.