NVIDIA DGX Station for Windows

Name: NVIDIA DGX Station for Windows
Brand: NVIDIA

The World’s Most Powerful Deskside AI Supercomputer for Windows, powered by NVIDIA GB300.

Coming in Q4

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Overview

A Trillion-Parameter AI Supercomputer on Every Enterprise Desk

NVIDIA DGX Station for Windows is the ultimate deskside AI supercomputer to build and run powerful AI agents connected to enterprise applications and workflows. Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with up to 748 GB of coherent memory and 20 petaFLOPS of FP4 AI compute, it delivers data-center-level performance, supporting large AI models up to 1 trillion parameters. Configurable with an additional NVIDIA RTX PRO™ 6000 Workstation GPU, DGX Station for Windows pairs frontier AI compute with ray-traced visualization for running agents across productivity, creative, design, and physical AI applications. With the NVIDIA AI software stack and WSL support, enterprises can deploy within existing Windows infrastructure and build and run frontier AI from day one.

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Announcing NVIDIA DGX Station for Windows

NVIDIA DGX Station for Windows puts a trillion-parameter AI supercomputer on every enterprise desk to build, run, and connect always-on, frontier AI agents to enterprise applications and workflows.

Read the Press Release

Highlights

Data Center Performance at Your Deskside

AI Compute

20 PFLOPS¹ (Up to)

Large Coherent Memory

748 GB (Up to)

Model Capacity

1T (Up to)²

1. FP4 Tensor Core with Sparsity.
2. Up to 1 trillion parameter AI models.

Features

Engineered to Build and Run Frontier Agentic AI

NVIDIA GB300 Grace Blackwell Desktop Superchip

The GB300 Grace Blackwell Ultra Desktop superchip connects the NVIDIA Blackwell Ultra GPU to a high-performance 72-core NVIDIA Grace CPU using NVIDIA NVLink®-C2C interconnect to deliver best-in-class system communication and performance. Build and run AI locally on GB300 and seamlessly scale out to GB300 in the cloud and data center.

NVIDIA RTX PRO GPU For Visualization and Physical AI

DGX Station can be configured with up to one additional NVIDIA RTX PRO™ Blackwell Generation GPU in addition to the GB300 Superchip. This combination gives developers the ability to pair data center-grade AI compute capability with powerful, ray-traced visualization and simulation.

Windows Operating System

Windows runs on DGX Station, so enterprise developers can access GB300 AI compute right where they already work. IT teams deploy within existing Windows infrastructure—no new group policies, no OS changes, no disruption. Develop and deploy powerful, long-running AI agents with frontier intelligence connected to the Windows ecosystem.

NVIDIA ConnectX®-8 SuperNIC™

The NVIDIA ConnectX®-8 SuperNIC™ supercharges hyperscale AI computing workloads. With up to 800 gigabits per second (Gb/s), ConnectX-8 SuperNIC delivers extremely fast, efficient network connectivity and supports linking multiple DGX Stations to scale model capacity and performance even further.

NVIDIA AI Software Stack

DGX Station supports an NVIDIA AI software stack on Windows. This full-stack environment provides a seamless foundation for agentic AI development, model fine-tuning, inference, and data science workloads.

Large Coherent Memory

DGX Station features up to 748 GB of coherent memory for up to 1 trillion-parameter models to be run efficiently within one memory pool, thanks to the C2C superchip interconnect that bypasses the bottlenecks of traditional CPU and GPU systems.

IT Manageability

DGX Station is built for enterprise deployment. Out-of-band telemetry via the BMC, and Enterprise Manageability gives IT teams full visibility, monitoring, and remote management capabilities. Hardware root of trust and enterprise secure boot help keep every system in your fleet protected and compliant.

Workloads

Build and Run AI on Windows

Build and Run AI Agents on Windows

Build and deploy powerful autonomous AI agents connected to Windows apps.

DGX Station for Windows lets you develop and run powerful AI agents that connect to enterprise applications and workflows, including productivity, design, and engineering tools. These frontier agents are powered by GB300 on DGX Station, offloading costs with local token generation.

AI Inference

Serve powerful AI inference locally

DGX Station for Windows accelerates local inference for large AI models—delivering fast token generation, data analysis, and agentic AI on Windows.

Data Science

Accelerate enterprise data science workflows.

Ingest massive data lakes with up to 748 GB of coherent memory to accelerate end-to-end data science workflows.

Frontier AI Development

Develop and run AI models up to 1 trillion parameters locally.

With up to 748 GB of coherent memory and up to 20 petaFLOPS of FP4 compute, DGX Station delivers the memory and performance to develop, fine-tune, and run frontier AI models and agents at your deskside.

Physical AI

Pair GB300 AI compute with RTX PRO for physical AI.

Combine the GB300 Superchip with the NVIDIA RTX PRO 6000 for best-in-class AI training, ray-traced simulation, and visualization for building and optimizing autonomous AI systems and physical AI applications.

Windows Subsystem for Linux (WSL) for AI Toolchains

Run Linux AI frameworks on Windows via WSL.

WSL on DGX Station gives developers access to Linux AI toolchains on Windows.

DGX Station with Ubuntu and NVIDIA AI Developer Tools

DGX Station featuring Ubuntu with NVIDIA AI Developer tools lets developers, researchers, and data scientists rapidly develop, fine-tune, and inference with large AI models and long-running AI agents locally and seamlessly deploy to the data center or cloud.

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Specifications

Technical Specifications

NVIDIA GPU	1x NVIDIA Blackwell Ultra
NVIDIA CPU	1x Grace 72-Core Neoverse V2
GPU Memory	252 GB HBM3e ECC \| 7.1 TB/s
CPU Memory	496 GB LPDDR5X ECC \| 396 GB/s
NVLink-C2C	900 GB/s
Networking \| Peak Bandwidth	NVIDIA ConnectX-8 SuperNIC \| Up to 800 Gb/s \| Ethernet
Supported OS	Microsoft Windows
FP4 Tensor Core	20 \| 15³ PFLOPS
FP8 / FP6 Tensor Core	10 PFLOPS
Int8 Tensor Core	330 TOPS
FP16/BF16 Tensor Core	5 PFLOPS
TF32 Tensor Core	2.5 PFLOPS
FP32	80 TFLOPS
FP64 / FP64 Tensor Core	1.3 TFLOPS
Total System Power	1,600 W \| 20A circuit required
Decoders	7 NVDEC 7 nvJPEG
Supported RTX PRO GPU⁴	NVIDIA RTX PRO 6000 Workstation Edition RTX PRO 6000 Blackwell Max-Q Workstation Edition RTX PRO 4000 Blackwell SFF Edition RTX PRO 2000 Blackwell
Storage	4x M.2 Gen 5 Slots
Ethernet Ports	2x QSFP112 (400 Gbs per port) 1x RJ45 10GbE 1x RJ45 1GbE (BMC for system management)
PCIe Slots	1x PCIe Gen 5 x16 2x PCIe Gen 5 x16 (x8 electrical)
Additional Ports and Connectors⁴	Front IO: 2x USB Type C (USB3.1), 2x USB Type A (USB3.1), Audio Rear IO: 4x USB Type A, USB Micro-B (BMC) mDP⁵ (BMC), Audio
1. Peak rates are based on GPU boost clock. 2. All Tensor Core specifications are with sparsity unless otherwise noted. 3. Without sparsity. 4. Support may vary by system. Check with your OEM to confirm specific support and configurations. 5. Mini DisplayPort is intended only for system management.