# NVIDIA DGX Station The ultimate deskside AI supercomputer, powered by NVIDIA Grace Blackwell. # Order Now Contact a partner to order your system. [Order Now](#partners) Overview ## The Ultimate Deskside AI Supercomputer NVIDIA DGX Station™ is the ultimate deskside AI supercomputer for building and running AI. Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, it features a massive 748 GB of coherent memory and up to 20 petaFLOPS of AI compute performance, enabling seamless development and execution of massive AI workloads, supporting models up to 1 trillion parameters.  Preconfigured with an NVIDIA AI software stack, developers, researchers, and data scientists can 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. ### 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 Press Release](https://nvidianews.nvidia.com/news/nvidia-dgx-station-for-windows-puts-a-trillion-parameter-ai-supercomputer-on-every-enterprise-desk) ### All Stations Go: Developers Around the World Power Up DGX Station Learn about how researchers and builders are using the systems to push the frontier of AI. [Read Blog](https://blogs.nvidia.com/blog/nvidia-gtc-taipei-computex-2026-news/#dgx-station) ### Features ## Technological Breakthroughs ### NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip NVIDIA DGX Station features the NVIDIA Blackwell Ultra GPU connected to a high-performance NVIDIA Grace CPU using the NVIDIA NVLink®-C2C interconnect to deliver best-in-class system communication and performance. ### NVIDIA Blackwell Generation Tensor Cores NVIDIA DGX Station features NVIDIA Blackwell Generation Tensor Cores, enabling 4-bit floating point (NVFP4) 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™ 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 up to two DGX Stations to scale model capacity and performance even further. ### Preconfigured AI Software Stack DGX Station features an optimized, preconfigured operating system, Ubuntu with NVIDIA AI Developer Tools. This environment comes pre-installed with system-specific configurations and essential CUDA-X™ libraries, providing a seamless, full-stack foundation for accelerating AI development, data science, and local inference workloads. ### NVIDIA NVLink-C2C Interconnect [NVIDIA NVLink-C2C](https://www.nvidia.com/en-us/data-center/nvlink-c2c.md) 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. Running these models within NVIDIA DGX Station’s large coherent memory allows for massive-scale models and agents to be developed and 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, Redfish API support, and NVIDIA Data Center GPU Manager give IT teams visibility, monitoring, and remote management capabilities. Hardware root of trust and enterprise secure boot help keep every system in your fleet protected and compliant throughout its lifecycle. ### NVIDIA RTX PRO GPU NVIDIA 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. ### NVIDIA AI Enterprise Enterprises can fast-track AI deployment on NVIDIA DGX Station with an NVIDIA AI Enterprise software license, which provides a suite of software tools, libraries, and frameworks with enterprise support, simplifying the development, deployment, and scaling of production AI applications in the enterprise. \*NVIDIA NIM support planned in June, and [production branch](https://docs.nvidia.com/ai-enterprise/lifecycle/latest/choosing-a-branch.html) support planned in October. ### Workloads ## The Ultimate AI and Data Science Desktop #### Agentic AI NVIDIA NemoClaw is an open source stack that adds privacy and security controls to OpenClaw. With one command, anyone can run always-on, self-evolving agents anywhere. Combining NemoClaw with NVIDIA DGX Station, developers have best-in-class capabilities for developing autonomous, long-running agents locally, reducing additional token costs. [Learn More About NemoClaw](https://www.nvidia.com/nemoclaw/) #### 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. [Explore AI Solutions](https://www.nvidia.com/en-us/solutions/ai.md) #### AI Inference AI models are rapidly expanding in size, complexity, and diversity—pushing the boundaries of what’s possible. NVIDIA DGX Station accelerates 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 agents, and more. [Explore AI Inference Solutions](https://www.nvidia.com/en-us/solutions/ai/inference.md) #### 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. [Explore Data Science Solutions](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science.md) #### Physical AI DGX Station features a powerful GB300 superchip and can be combined with an additional NVIDIA RTX PRO 6000 Blackwell Workstation GPU  to deliver best-in-class compute, simulation, and visualization on the desktop. This combination is ideal for building and deploying [Physical AI](https://www.nvidia.com/en-us/glossary/generative-physical-ai.md)—which requires powerful local training, inference, and simulation to train, test, and continually optimize autonomous systems and visual AI agents. [Explore Solutions for Physical AI](https://www.nvidia.com/en-us/solutions/design-and-simulation.md) #### Personal Cloud 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. [Learn About MIG Technology](https://www.nvidia.com/en-us/technologies/multi-instance-gpu.md) ## 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. [Learn More](https://www.nvidia.com/en-us/products/workstations/dgx-station-for-windows.md) ## Specifications ## DGX Station Specifications\* [Datasheet](https://dam-cdn.nvd.orangelogic.com/AssetLink/d1t05vdi8iwi6c71c1x80cd80bw8wlm0.pdf) **NVIDIA GPU** 1x NVIDIA Blackwell Ultra --- **NVIDIA CPU** 1x Grace 72-Core Neoverse V2 --- **GPU Memory** 252 GB HBM3e | 7.1 TB/s --- **CPU Memory** 496 GB LPDDR5X | 396 GB/s --- **NVLink-C2C** 900 GB/s --- **Networking | Peak Bandwidth** NVIDIA ConnectX-8 SuperNIC | Up to 800 Gb/s | Ethernet --- **Supported OS** Ubuntu with NVIDIA AI Developer Tools --- **MIG** 7 --- **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 --- **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 10 GbE 1x RJ45 1 GbE (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. ## NVIDIA DGX Station Playbooks Leverage our curated playbooks to get started on various AI projects on DGX Station. Playbooks contain step-by-step recipes to demonstrate the art of the possible. [Browse Playbooks](https://build.nvidia.com/station) ## Partners ## Built by Global OEM Partners [See All Buying Options](https://marketplace.nvidia.com/en-us/enterprise/personal-ai-supercomputers/?superchip=GB300&page=1&limit=15) ## Sign up to be notified when DGX Station becomes available Welcome back. Not you? Log Out Welcome back. Not you? Clear form