NVIDIA DGX Station
NVIDIA DGX Station is a desktop AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with massive unified memory and NVLink-C2C high-bandwidth interconnect. Built for AI developers, researchers, and data scientists, it delivers data-center-class performance for large-scale model training, inference, and AI workloads right from a workstation. DGX Station comes with the NVIDIA AI software stack, including DGX OS and support for NVIDIA AI Enterprise, enabling seamless development and deployment from desktop to cloud or enterprise infrastructure.
Desktop AI Supercomputer for the Era of Generative AI
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 a massive 775GB of large coherent memory delivering an unprecedented amount of compute performance for developing and running large-scale AI training and inferencing workloads at your deskside. 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 deskside AI development platform. 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.
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. 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 DGX Stations take advantage of AI-based system optimizations that intelligently shift power based on the currently active workload, continually maximizing performance and efficiency.
Enterprise-Grade Performance in a Workstation Form Factor
Designed for professional environments, DGX Station delivers unprecedented AI performance in a compact workstation design. Advanced cooling and power efficiency enable sustained performance for long-running AI training and inference workloads, while high-speed networking allows seamless scaling across multiple DGX systems or cloud environments.
Key Features
- Powered by NVIDIA GB300 Grace Blackwell Ultra Superchip
- Up to 784 GB unified CPU-GPU coherent memory
- NVIDIA Blackwell Ultra GPU with HBM3e memory
- NVLink-C2C interconnect for ultra-high bandwidth CPU-GPU communication
- Support for NVIDIA Multi-Instance GPU (MIG)
- Integrated NVIDIA ConnectX-8 SuperNIC for high-speed networking
- Runs NVIDIA DGX OS and supports NVIDIA AI Enterprise software
- Desktop AI supercomputer for enterprise and research workloads
| MFG Number | NVIDIA-DGX-STATION-GB300 |
|---|---|
| Condition | Item Condition : Brand New |
| Price | $300,000.00 |
| Show Product Will Be Available Soon on FE | No |
| Financing | Yes |
| Product Card Description | The NVIDIA GB200 NVL72 is a liquid-cooled, data-centre-class AI server delivering unprecedented performance for generative AI, large language models and HPC workloads. With a 72-GPU NVLink domain, the system acts as a unified accelerator delivering up to 1,440 PFLOPS FP4, 720 PFLOPS FP8, and supports massive 13.4 TB HBM3e memory and 130 TB/s high-speed interconnect. Designed for real-time trillion-parameter inference (30× H100) and large-scale training (4× H100), this rack-scale solution enables hyperscale AI infrastructure with extreme throughput and efficiency. |
| Order Processing Guidelines | Order Processing Guidelines:
Inquiry First – Please reach out to our team to discuss your requirements before placing an order. |
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