Unveiling the Next Generation of AI Hardware

At Computex 2025, Nvidia made headlines by introducing the DGX Spark and DGX Station, two new computing powerhouses tailored specifically for the expanding demands of AI development. The DGX Spark represents a shift toward accessible, high-performance AI computing with its compact mini PC format, while the DGX Station is designed as a full-scale workstation for those who require more muscle for intensive projects. These launches demonstrate Nvidia’s ongoing commitment to advancing AI hardware for both individual developers and enterprise professionals.

Specs and Features That Set Them Apart

The DGX Spark is built around Nvidia's brand-new GB10 Grace Blackwell Superchip, which combines a 20-core Arm CPU and a next-generation NVIDIA GPU, delivering up to 1,000 TOPS for AI workloads. Each Spark unit comes pre-installed with a Linux-based DGX OS, optimized for development environments. Major PC manufacturers—including Acer, Asus, Dell, HP, Lenovo, Gigabyte, and MSI—are on board to deliver their versions of DGX Spark, providing users a range of design options.

The DGX Station is aimed at AI professionals needing extreme compute capability. It houses the GB300 Grace Blackwell Ultra Desktop Superchip boasting a 72-core Neoverse V2 CPU, 288GB HBM3e GPU memory, and 496GB LPDDR5X RAM. Running DGX OS and supporting NVIDIA’s comprehensive AI software suite, it ensures a seamless workflow for training, inferencing, and research. Models from Asus, Gigabyte, MSI, and Supermicro are set for release, with widespread availability expected by the end of 2025.

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Tailored for AI Innovators

Both systems are engineered with AI-first development in mind. The DGX Spark offers a robust entry point for developers working on prototypes, data preprocessing, and small-scale model training. Meanwhile, the DGX Station provides professionals in research labs, enterprise AI teams, and creative industries the resources necessary to tackle complex problems without compromise. By running Nvidia’s unified stack and feature-rich DGX OS, users across both platforms benefit from accelerated deployment, simplified management, and compatibility with the latest AI frameworks.

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