NVIDIA DGX StationData-center-grade AI performance at the desktop, powered by NVIDIA GB300 Grace™ Blackwell Ultra for advanced AI research and large-scale model development.
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DGX Station–class systems deliver data-center-grade AI performance directly to the desktop, powered by the NVIDIA GB300 Grace™ Blackwell Ultra Desktop Superchip. Built for advanced AI research, large-scale model development, and high-performance local training, these systems provide exceptional compute density, memory bandwidth, and scalability without requiring rack-based infrastructure.
DGX Station systems are ideal for organizations that need maximum AI capability close to the user—supporting large models, intensive experimentation, and mission-critical workloads in enterprise, government, and research environments.
DGX Station systems are ideal for organizations that need maximum AI capability close to the user—supporting large models, intensive experimentation, and mission-critical workloads in enterprise, government, and research environments.
NVIDIA Grace Blackwell
The NVIDIA DGX Station features an NVIDIA Blackwell Ultra GPU, which comes with the latest-generation NVIDIA CUDA® cores and fifth-generation Tensor Cores, connected to a high-performance NVIDIA Grace CPU via the NVIDIA® NVLink®-C2C interconnect, delivering best-in-class system communication and performance.
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Fifth-Generation
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NVIDIA ConnectX-8
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NVIDIA
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NVIDIA NVLink-C2C
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Large Coherent
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NVIDIA DGX OS implements stable, fully qualified operating systems for running AI, machine learning, and analytics applications on the NVIDIA DGX platform. It includes system-specific configurations, drivers, and diagnostic and monitoring tools. Easily scale across multiple NVIDIA DGX Station systems, NVIDIA DGX Cloud, or other accelerated data center or cloud infrastructure.
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NVIDIA DGX OS implements stable, fully qualified operating systems for running AI, machine learning, and analytics applications on the NVIDIA DGX platform. It includes system-specific configurations, drivers, and diagnostic and monitoring tools. Easily scale across multiple NVIDIA DGX Station systems, NVIDIA DGX Cloud, or other accelerated data center or cloud infrastructure.
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AI models continue to grow in scale and complexity. Training and running these models within NVIDIA Grace Blackwell Ultra’s large coherent memory allows for massive-scale models to be trained and run efficiently within one memory pool, thanks to the C2C superchip interconnect that bypasses the bottlenecks of traditional CPU and GPU systems.
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NVIDIA AI Software StackA full stack solution for AI workloads including fine-tuning, inference, and data science. NVIDIA’s AI software stack lets you work local and easily deploy to cloud or data center using the same tools, libraries, frameworks and pretrained models from desktop to cloud.
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Workload Optimized Power-ShiftingNVIDIA DGX Stations take advantage of AI-based system optimizations that intelligently shift power based on the currently active workload, continually maximizing performance and efficiency.
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Gigabyte W775-V10-L01
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ASUS ExpertCenter Pro ET900N G3
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MSI CT60-S8060
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Supermicro ARS-511GD-NB-LCC
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