NVIDIA DGX BasePOD

The infrastructure foundation for enterprise AI factories.

Overview
Use Cases
DGX Systems
Supercomputing
Quotes
Resources
Partners
Get Started

Overview
Use Cases
DGX Systems
Supercomputing
Quotes
Resources
Partners
Get Started

Transform Into an AI Enterprise With Essential Infrastructure

AI is powering mission-critical use cases in every industry—from healthcare to manufacturing to financial services. As part of the NVIDIA DGX™ platform, NVIDIA DGX BasePOD™ provides the reference architecture on which businesses can build and scale AI infrastructure.

Power Mission-Critical AI Use Cases With NVIDIA DGX BasePOD

NVIDIA has made it easier, faster, and more cost-effective for businesses to deploy the most important AI use cases powering enterprises. By combining the performance, scale, and manageability of the NVIDIA DGX BasePOD reference architecture with industry-tailored software and tools from the NVIDIA AI Enterprise software suite, enterprises can rely on this proven platform to build their own AI Center of Excellence.

Health and Life Sciences

Accelerate image annotation, speed genome sequencing workflows, and create AI applications that help drive research breakthroughs.

Financial Services

Deploy mission-critical AI use cases such as conversational AI, algorithmic trading, and fraud detection.

Energy

Optimize well planning with simulations, enhance operations with AI-enabled computer vision, and predict renewable energy generation.

Telecommunications

Optimize operations with AI by improving customer experiences, optimizing complex network operations, and extracting business insights from data.

Large Language Models

Quickly train and customize generative AI models for your industry, from automating mundane tasks to generating creative content.

Take a Deep Dive Into the New Architecture of NVIDIA DGX B300 Systems

Explore the new features and capabilities, including AC and DC power options, that make DGX B300 easy to integrate into any modern data center, with greater deployment flexibility than ever before.

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NVIDIA DGX Systems

As the industry standard for AI at scale, NVIDIA DGX BasePOD features a range of powerful NVIDIA DGX systems to accelerate your enterprise innovations.

NVIDIA DGX Rubin NVL8 Systems

Universal AI system powered by NVIDIA Rubin to provide enterprises with a turnkey AI platform for training and inference of agentic AI models.

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NVIDIA DGX B300 Systems

AI system powered by NVIDIA Blackwell Ultra for training and inference of large generative AI and other transformer-based workloads.

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NVIDIA DGX B200 Systems

Unified AI system built with NVIDIA Blackwell for every stage of the AI pipeline, from training to fine-tuning to inference.

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Accelerating the Radiological Workflow with AI

University of Wisconsin-Madison uses NVIDIA DGX BasePOD to generate comprehensive datasets and rapidly iterate on AI models to bring AI into clinical tools more quickly.

Read Customer Success Story

Delivering Supercomputing to Every Enterprise

Equinix Private AI With NVIDIA DGX

Looking for a turnkey, ready-to-run AI development platform? Equinix Private AI with NVIDIA DGX leverages Equinix colocation data centers, network connectivity, and managed services to host and operate NVIDIA DGX BasePOD and NVIDIA DGX SuperPOD™.

Hybrid AI Infrastructure Made Seamless

NVIDIA DGX SuperPOD

NVIDIA created our first NVIDIA DGX SuperPOD, the world’s eighth-fastest supercomputer at launch, in just three weeks. For enterprises that need the fastest path to AI innovation at scale, NVIDIA DGX SuperPOD is the turnkey hardware, software, and services offering that removes the guesswork from building and deploying AI infrastructure in any enterprise.

Enterprise Infrastructure for Generative AI

NVIDIA DGX-Ready Software

Get the most from your AI infrastructure investment with NVIDIA DGX-Ready Software. These certified software solutions feature enterprise-grade MLOps, cluster management, scheduling, and orchestration tools—all tested and certified for NVIDIA DGX systems.

Certified MLOps Software for NVIDIA DGX Systems

What Customers Are Saying About NVIDIA DGX BasePOD

Using the MONAI imaging framework integrated into Flywheel, with training done on NVIDIA DGX BasePOD, we can apply our state-of-the-art research tools to every single abdominal CT we've ever performed at UW Madison since 2004. 10,000 cases alone used to take six to eight months just to get through, and we can now easily process them in a day.

— John Garrett, Assistant Professor and Director of Informatics, Department of Radiology, University of Wisconsin-Madison

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Build on Our Experience

The race to stay ahead of the AI wave is on. We’ve distilled the knowledge from field-proven AI deployments around the globe and our experience building in-house TOP500-class supercomputers into replicable, validated designs that every enterprise can benefit from.

Explore NVIDIA DGX BasePOD Documentation

Maximize the Value of the DGX Platform

NVIDIA Enterprise Services provide support, education, and professional services for your NVIDIA DGX infrastructure. With NVIDIA experts available at every step of your AI journey, Enterprise Services can help you get your projects up and running quickly and successfully.

Learn More About Enterprise Services

Receive an Exclusive Training Offer as a NVIDIA DGX Customer

Learn how to achieve cutting-edge breakthroughs with AI faster with this special technical training offered exclusively to NVIDIA DGX customers from the AI experts at NVIDIA’s Deep Learning Institute (DLI).

Learn More About DLI for DGX

Explore Reference Architectures From Our Partners

In combination with leading storage technology providers, a portfolio of reference architecture solutions is available on NVIDIA DGX BasePOD. Delivered as fully integrated, ready-to-deploy offerings through the NVIDIA Partner Network, these solutions make your data center AI infrastructure simpler and faster to design, deploy, and manage. Each NVIDIA DGX BasePOD reference architecture design is tested and certified to ensure optimal performance and customer experience.