Nvidia DGX Station Archives

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June 11, 2026

Computex 2026: Empowering a billion users with Windows across the ecosystem

Computex has been a significant event for the PC industry, showcasing innovations in hardware, silicon, and user experiences. This year, partners revealed a variety of Windows 11 PCs aimed at diverse user needs. Acer introduced several laptops, including the Aspire X 16 AI for prosumers, the Aspire 18 AI for creative tasks, and the Swift Spin 14 AI, which features both Intel Core Ultra Series 3 and Snapdragon X2 Series processors. ASUS launched its AI PC portfolio with the ProArt P16 and P14 laptops powered by NVIDIA RTX Spark, and the Zenbook 14 for everyday consumers. The ROG Strix SCAR 18 gaming laptop features an Intel Core Ultra 9 processor and NVIDIA GeForce RTX 5090 Laptop GPU. Dell unveiled the XPS 13, which is the thinnest and lightest XPS laptop, offering up to 17 hours of battery life and a 2.5K touchscreen. The XPS 16 Creator Edition is designed for creative tasks with NVIDIA RTX Spark technology. HP plans to integrate RTX Spark into its OmniBook Ultra 16 and OmniBook X 14 laptops and will expand its offerings with a compact desktop for creators and AI enthusiasts. MSI introduced the Prestige N16 Flip AI+, a laptop developed with NVIDIA, featuring a 16-inch UHD+ display and a 2-in-1 design. They also announced the Claw 8 EX AI+, a handheld gaming device powered by Intel Arc G3 Extreme processors. The Surface Laptop Ultra is the most powerful Surface Laptop to date, featuring an NVIDIA RTX Spark superchip and a 15-inch mini-LED touchscreen. Intel introduced the Intel Arc G-Series processors for handheld gaming systems, while NVIDIA unveiled the RTX Spark superchip for personal AI agents on Windows devices. Qualcomm announced the Snapdragon C Platform, aimed at providing efficient performance for students and small businesses, with Acer and ASUS already adopting this technology.

Winsage

June 2, 2026

Microsoft, Nvidia launch RTX Spark Windows AI PC lineup

Microsoft and Nvidia have launched a new series of Windows PCs powered by the Nvidia RTX Spark platform, featuring devices from manufacturers like Surface, Asus, Dell, HP, Lenovo, and MSI. The RTX Spark platform delivers up to 1 petaflop of AI performance, with up to 20 Arm-based CPU cores, 6,144 Blackwell RTX cores, and 128GB of unified memory. Microsoft has optimized Windows for this architecture, enhancing scheduling, power management, and memory handling. The new workload profile scheduling feature optimizes task distribution across the cores, while the Microsoft Power and Thermal Framework improves performance, battery life, and heat management. Windows' support for unified memory has been enhanced, allowing for larger AI models and demanding creative tasks. Microsoft's Prism emulator for x86 applications has been optimized for RTX Spark systems, improving compatibility and speed. Creative applications like Blender, DaVinci Resolve, and Adobe Photoshop are supported, along with MATLAB for technical users. Gaming support includes native anti-cheat software and compatibility with popular titles such as League of Legends and Valorant. The new systems are categorized under Microsoft's Copilot+ PC line, which combines AI processing with enhanced graphics capabilities. Devices showcased include Microsoft's Surface Laptop Ultra and models from Asus, Dell, HP, Lenovo, and MSI. Microsoft also plans to scale Windows to the Nvidia DGX Station for Windows, enabling larger AI models and workstation-class workloads. The initiative aims to unify AI workloads across consumer PCs, creator laptops, and workstations, allowing users to run larger models locally and integrate AI computing into their workflows.

Winsage

June 1, 2026

Nvidia and Microsoft bring frontier AI compute to Windows

Nvidia, in collaboration with Microsoft, has introduced two AI products for Windows that bring data-centre-class capabilities to the desktop. The Nvidia DGX Station for Windows, powered by the GB300 Grace Blackwell Ultra Desktop Superchip, can run models with up to one trillion parameters locally. This development allows professionals to utilize powerful AI tools without relying on cloud infrastructure.