This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the instructions how to enable JavaScript in your web browser.

AI Leadership with NVIDIA DGX

Unbeatable AI Performance at Scale

Driving AI Innovation Across Industries

AI projects at the forefront of innovation, shattering world records, are built on NVIDIA DGX^™ systems. Leading organizations across industries use DGX to power their AI initiatives and change the world.

9

of the top 10 U.S. Government Institutions

8

of the top 10 U.S. National
Universities

7

of the top 10 U.S.
Hospitals

7

of the top 10 Global Car
Manufacturers

Performance Matters

The New Standard In Backtesting

NVIDIA DGX-2 with accelerated Python processed 20 million trading simulations and set a new standard in the latest STAC-A3 backtesting benchmark report.

Learn More

Shattering World Records

NVIDIA DGX systems continue to set AI performance records in MLPerf ¹—a set of benchmarks that measure machine learning training performance across a diverse set of usages.

Read More

1 See mlperf.org for more info.

Raising the Bar for AI Infrastructure

The NVIDIA DGX SuperPOD reference design allows organizations to build the largest and most powerful AI supercomputers in the world. Housed at NVIDIA are two of these systems – "Selene", which is ranked as the 5th most powerful supercomputer in the world by the TOP500, and "DGX SuperPOD", which is ranked as the number 1 most energy-efficient supercomputer in the Green500.

Learn More

1 MLPerf 0.6 submission information: Per-accelerator comparison using reported performance for NVIDIA DGX-2H servers (16 NVIDIA V100 Tensor Core GPUs) compared to other submissions at the same scale except for MiniGo where the NVIDIA DGX-1 servers (8 V100 GPUs) submission was used. | MLPerf ID Max Scale: Mask R-CNN: 0.6-23, GNMT: 0.6-26, MiniGo: 0.6-11 | MLPerf ID Per Accelerator: Mask R-CNN, SSD, GNMT, Transformer: all use 0.6-20, MiniGo: 0.6-10. See mlperf.org.

NVIDIA DGX Systems Power the World’s Most Powerful Supercomputers

Eight of the world’s most powerful supercomputers in the TOP500 are built on NVIDIA DGX. These enterprises have used DGX to scale up massive supercomputing infrastructure in just weeks

Building World-Class Supercomputing has never been Easier

Build Leadership-Class AI Infrastructure

Building world-class, scalable AI infrastructure used to be complex, taking months or even years to do. With NVIDIA DGX SuperPOD, you get a first-of-its-kind AI supercomputing infrastructure that delivers groundbreaking performance. Deployable in weeks as a fully integrated system, DGX SuperPOD is architected to solve the world’s more challenging AI problems.

DGX SuperPOD is composed of DGX systems, which are specifically designed to meet the unique demands of enterprise-grade AI.

Watch Video

Future-Proof Your AI Data Center

NVIDIA DGX SuperPOD with NVIDIA DGX A100 is now available to tackle your most complex AI challenges. Built using the world’s first universal AI platform, it supports training, inference, and analytics workloads on one future-proofed AI infrastructure.

Learn More

DGX Saturnv Powers NVIDIA

Use our experience building the world’s largest AI data centers and thousands of leading-edge accelerated compute nodes. Our NVIDIA DGX™ SATURNV powers our most important work, providing a tested and proven infrastructure designed to meet the rigorous demands of AI.

Learn More

View Infographic

View Case Study

Purchase NVIDIA DGX Systems

Get Started

Learn About NVIDIA DGX Systems

Talk to Us

Contact Us To Learn More About DGX

Section

Section

First Name

Last Name

Business Email Address

Business Phone Number

Organization / University Name

Industry

Job Title

Location

Preferred Language

What is your question?

Which Product Are You Interested In?

State/Province

Send me the latest enterprise news, announcements, and more from NVIDIA. I can unsubscribe at any time.

NVIDIA Privacy Policy

I agree to the collection and processing of the above information by NVIDIA <span class="corporation-txt hidden">Corporation </span>for the purposes of research and event organization, and I have read and agree to <a href="https://www.nvidia.com/en-gb/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA Privacy Policy</a>.

I agree that the above information will be transferred to NVIDIA Corporation in the United States and stored in a manner consistent with <a href="https://www.nvidia.com/en-gb/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA Privacy Policy</a> due to necessities for research, event organization and corresponding NVIDIA internal management and system operation need. You may contact us by sending an email to <a href="mailto:privacy@nvidia.com">privacy@nvidia.com</a> to resolve related problems.