NVIDIA DGX Station

The ultimate desktop AI supercomputer powered by NVIDIA Grace Blackwell.

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Overview
Features
Workloads
Specs
Partners

Overview

Overview
Features
Workloads
Specs
Partners

Overview

The Ultimate AI Performance on Your Desktop

NVIDIA® DGX Station™ is part of a new class of computers designed from the ground up to build and run AI. It’s the first system to be built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, and up to a massive 784GB of large coherent memory—delivering an unprecedented amount of compute performance for developing and running large-scale AI training and inferencing workloads at your desktop. Combining state-of-the-art system capabilities with the NVIDIA AI Software Stack, NVIDIA DGX Stations are purpose-built for teams that demand the best desktop AI development platform.

NVIDIA Announces NVIDIA Blackwell DGX Personal AI Computers

NVIDIA DGX Station and NVIDIA DGX Spark, powered by NVIDIA Grace Blackwell, place accelerated AI in the hands of developers, researchers and data scientists.

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Features

Technological Breakthroughs

NVIDIA Grace Blackwell Ultra Desktop Superchip

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.

Fifth-Generation Tensor Cores

NVIDIA DGX Stations are powered by the latest NVIDIA Blackwell Generation Tensor Cores, enabling 4-bit floating point (FP4) AI. FP4 increases the performance and size of next-generation models that memory can support while maintaining high accuracy.

NVIDIA ConnectX-8 SuperNIC

The NVIDIA ConnectX®-8 SuperNIC™ is optimized to supercharge hyperscale AI computing workloads. With up to 800 gigabits per second (Gb/s), NVIDIA ConnectX-8 SuperNIC delivers extremely fast, efficient network connectivity, significantly enhancing system performance for AI factories.

NVIDIA DGX OS

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.

NVIDIA NVLink-C2C Interconnect

NVIDIA NVLink-C2C extends the industry-leading NVLink technology to a chip-to-chip interconnect between the GPU and CPU, enabling high-bandwidth coherent data transfers between processors and accelerators.

Large Coherent Memory for AI

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.

NVIDIA AI Software Stack

A 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.

Workload Optimized Power-Shifting

NVIDIA DGX Stations take advantage of AI-based system optimizations that intelligently shift power based on the currently active workload, continually maximizing performance and efficiency.

Workloads

The Ultimate AI and Data Science Desktop

AI Development

With an extensive library of NVIDIA CUDA-optimized libraries to accelerate deep learning and machine learning training, combined with NVIDIA DGX Station’s massive memory and superchip throughput, NVIDIA’s accelerated computing platform provides the ultimate AI development platform across industries, from developing predictive maintenance, to medical imaging analysis, to natural language processing applications.

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Data Science

With NVIDIA AI software, including RAPIDS™ open-source software libraries, GPUs substantially reduce infrastructure costs and provide superior performance for end-to-end data science workflows. The large coherent memory pool provided by the NVIDIA DGX Station superchip allows for massive data lakes to be ingested directly into memory, removing data science bottlenecks and accelerating throughput.

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AI Inference

AI models are rapidly expanding in size, complexity, and diversity—pushing the boundaries of what’s possible. NVIDIA DGX Stations accelerate inferencing for running large AI models locally on the system, delivering incredible speed for large language model (LLM) token generation, data analysis, content creation, AI chatbots, and more.

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Personal Cloud

The NVIDIA DGX Station can serve as an individual desktop for one user to run advanced AI models using local data, or as a centralized compute node for multiple team members to fine-tune and run IP-specific models on-demand. DGX Station supports NVIDIA Multi-Instance GPU (MIG) technology to partition into as many as seven instances for local development with multiple users, each fully isolated with its own high-bandwidth memory, cache, and compute cores – and easily scaled out to larger MIG deployments in the cloud and data center. This gives administrators the ability to support every workload, from the smallest to the largest, with guaranteed quality of service (QoS) and extends the reach of accelerated computing resources to every user.

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Specifications

DGX Station Specifications*

NVIDIA GPU	1x NVIDIA Blackwell Ultra
NVIDIA CPU	1x Grace-72 Core Neoverse V2
GPU Memory	Up to 288GB HBM3e \| 8 TB/s
CPU Memory	Up to 496GB LPDDR5X \| Up to 396 GB/s
NVLink-C2C	Up to 900 GB/s
Networking \| Peak Bandwidth	NVIDIA ConnectX®-8 SuperNIC \| Up to 800 Gb/s
Supported OS	NVIDIA DGX OS
MIG	7

*Preliminary specifications, subject to change.

Partners

Built by Global OEM Partners. Coming Later in 2025.

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