Purpose-built for the unique demands of AI.
The NVIDIA DGX SuperPOD™ is an AI data center infrastructure that enables IT to deliver performance—without compromise—for every user and workload. As part of the NVIDIA DGX™ platform, DGX SuperPOD offers leadership-class accelerated infrastructure and scalable performance for the most challenging AI workloads—with industry-proven results.
DGX SuperPOD is a predictable solution that meets the performance and reliability needs of enterprises. NVIDIA tests DGX SuperPOD extensively, pushing it to the limits with enterprise AI workloads, so you don’t have to worry about application performance.
DGX SuperPOD is powered by NVIDIA Base Command™, proven software that includes AI workflow management, libraries that accelerate compute, storage, and network infrastructure, and an operating system optimized for AI workloads.
Seamlessly automate deployments, software provisioning, on-going monitoring, and health checks for DGX SuperPOD with NVIDIA Base Command Manager.
DGX SuperPOD includes dedicated expertise that spans installation to infrastructure management to scaling workloads to streamlining production AI. Get dedicated access to a DGXpert—your direct line to the world’s largest team of AI-fluent practitioners.
We are pioneering homegrown LLMs for the Japanese language, aiming at 390 billion parameters. This empowers businesses with finely-tuned AI solutions tailored to their culture and practices, utilizing DGX SuperPOD and NVIDIA AI Enterprise software stack for seamless development and deployment.
— Ashiq Khan, Vice President and Head of the Unified Cloud and Platform Division, Softbank Corp
We trained our LLMs more effectively with NVIDIA DGX SuperPOD’s powerful performance—as well as NeMo’s optimized algorithms and 3D parallelism techniques… We considered using other platforms, but it was difficult to find an alternative that provides full-stack environments—from the hardware level to the inference level.
- Hwijung Ryu, LLM Development Team Lead, KT Corporation
The 210 petaFLOPS Param Siddhi AI [supercomputer] equipped with DGX SuperPOD and indigenously developed HPC-AI engine, HPC-AI software frameworks, and cloud platform by C-DAC will accelerate experiments for solving India-specific grand challenges using science and engineering.
- Dr. Hemant Darbari, Director General, Centre for Development of Advanced Computing (C-DAC)
This will allow researchers to perform quantum-accurate molecular simulations of proteins to help find cures to diseases like COVID-19. What would’ve taken more than 6,000 years will now only take a day.
- Adrian Roitberg, Professor of Chemistry, University of Florida
The DGX SuperPOD is helping NAVER CLOVA to build state-of-the-art language models for Korean and Japanese markets and evolve into a strong AI platform player in the global market.
- Suk Geun SG Chung, Head of COLVA CIC, Naver Corporation
UF established an AI center of excellence utilizing HiPerGator AI, an NVIDIA DGX SuperPOD, to drive research in various areas, from improving clinical outcomes to enhancing disaster relief.
KT masters language complexity, achieving 2X faster training for their smart speaker and contact center—while supporting over 22 million subscribers—using the NVIDIA NeMo™ framework on NVIDIA DGX SuperPOD.
DeepL employs the DeepL Mercury supercomputer, a DGX SuperPOD, to build its own LLMs and empower businesses and individuals with the most innovative language AI technology.
NVIDIA DGX SuperPOD offers a turnkey AI data center solution for organizations, seamlessly delivering world-class computing, software tools, expertise, and continuous innovation. With two architecture options, DGX SuperPOD enables every enterprise to integrate AI into their business and create innovative applications rather than struggling with platform complexity.
DGX SuperPOD with NVIDIA DGX B200 Systems is ideal for scaled infrastructure supporting enterprise teams of any size with complex, diverse AI workloads, such as building large language models, optimizing supply chains, or extracting intelligence from mountains of data.
DGX SuperPOD with NVIDIA DGX H200 Systems is best for scaled infrastructure to support the largest, most complex or transformer-based AI workloads, such as LLMs with the NVIDIA NeMo framework and deep learning recommender systems.
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 DGX SuperPOD.
NVIDIA Eos, #10 in the TOP500, is a large-scale NVIDIA DGX SuperPOD that enables AI innovation at NVIDIA, helping researchers to take on challenges that were previously impossible.
From landing top spots on supercomputing lists to outperforming all other AI infrastructure options at scale in MLPerf benchmarks, the NVIDIA DGX platform is at the forefront of innovation. Learn why customers choose NVIDIA DGX for their AI projects.
Learn the secrets behind designing some of the world's highest-performing supercomputers. For a deeper dive into building similar clusters to supercharge your generative AI applications, watch The Next-Generation DGX Architecture for Generative AI.
NVIDIA Enterprise Services provide support, education, and infrastructure specialists for your 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 how to achieve cutting-edge breakthroughs with AI faster with this special technical training offered expressly to DGX customers from the AI experts at NVIDIA’s Deep Learning Institute (DLI).
NVIDIA Eos, #9 in the TOP 500, is a large-scale NVIDIA DGX SuperPOD that enables AI innovation at NVIDIA, helping researchers to take on challenges that were previously impossible.
DGX SuperPOD with DGX GB200 systems is liquid-cooled, rack-scale AI infrastructure with intelligent predictive management capabilities for training and inferencing trillion-parameter generative AI models, powered by NVIDIA GB200 Grace Blackwell Superchips.
The fastest way to get started using the DGX platform is with NVIDIA DGX Cloud, a serverless AI-training-as-a-service platform purpose built for enterprises developing generative AI.
In combination with leading storage technology providers, a portfolio of reference architecture solutions is available on NVIDIA DGX SuperPOD. 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.
NVIDIA DGX SuperPOD is a complete AI infrastructure solution that includes high-performance storage from selected vendors that's been rigorously tested and certified by NVIDIA to handle the most demanding AI workloads.
NVIDIA Enterprise Services provides support, education, and professional services for your 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.
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NVIDIA DGX™ systems with DDN A3I is the definitive path to production AI with customers worldwide, across generative AI, autonomous vehicles, government, life sciences, financial services, and more. Our integrated solution provides unlimited scaling and improved performance as clusters grow, for faster iteration and, most importantly, speeding business innovation. The combined expertise gives customers the fastest path to a high-performance AI data center with 10X the performance, at a fraction of the power of competitive solutions.
AI Integration Made Easy With NVIDIA DGX A100 SuperPOD Cambridge-1: An NVIDIA Success Story AI Data Storage TCO Estimator
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IBM Storage Scale System is an NVIDIA certified ultra-performance solution that drives AI innovation and scales seamlessly from NVIDIA DGX BasePOD™ to the largest DGX SuperPOD™ installations. Deployed by thousands of organizations for GPU acceleration and AI, IBM Storage Scale System delivers six nines of data reliability, cyber resiliency, and multi-protocol data pipelines for the most-demanding enterprises. Software-defined IBM Storage integrates and tiers your data, so you can leverage a global data platform to bring value to your organization and transform data-intensive AI workloads into actionable insights.
IBM Storage Scale System 6000 - Accelerated Infrastructure for AI Accelerating Workloads with IBM Storage Scale & Storage Scale System
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Achieve limitless scale and performance with the VAST Data Platform, making large-scale AI simpler, faster, and easier to manage. VAST is deployed at some of the world's largest supercomputing centers and leading research institutions. VAST’s unique combination of massively parallel architecture, enterprise-grade security, ease of use, and revolutionary data reduction is enabling more organizations to become AI-driven enterprises. VAST’s deep integration with NVIDIA technologies including NVIDIA® BlueField® and GPUDirect® Storage eliminates complexity and streamlines AI pipelines to accelerate insights.
Democratizing AI for the Enterprise With NVIDIA DGX SuperPOD and VAST Reference Architecture: NVIDIA DGX SuperPOD: VAST Solution Brief: VAST Data Platform for NVIDIA DGX SuperPOD
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NetApp and NVIDIA set the IT standard for AI infrastructure, offering proven, reliable solutions validated by thousands of deployments. With NetApp's industry-leading Unified Data Storage, organizations can scale their AI workloads and achieve up to 5X faster insights. NetApp's deep industry expertise and optimized workflows ensure tailored solutions for real-world challenges. Partnering with NVIDIA, NetApp delivers advanced AI solutions, simplifying and accelerating the data pipeline with an integrated solution powered by NVIDIA DGX SuperPOD™ and cloud-connected, all-flash storage.
NetApp AI Solutions NetApp Blog, the Vanguard of Data Innovations NetApp Solutions Documents
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Dell PowerScale delivers an AI-ready data platform that accelerates data processing and AI training—now validated on NVIDIA DGX SuperPOD™. PowerScale's scalable architecture enables effortless expansion, empowering organizations to refine generative AI models and safeguard data through robust security features. With high-speed Ethernet connectivity, PowerScale accelerates data access to NVIDIA DGX™ systems, minimizing transfer times and maximizing storage throughput. Smart scale-out capabilities, including the Multipath Client Driver and NVIDIA® GPUDirect®, ensure organizations can meet high-performance thresholds for accelerated AI model training and inference.
Dell PowerScale F710 Deployment Guide for DGX SuperPOD Dell PowerScale F710 Storage Reference Architecture for DGX SuperPOD Solution Brief: Dell PowerScale Is the World’s First Ethernet-Based Storage Solution Certified on NVIDIA DGX SuperPOD
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Optimize your data infrastructure investments and push the boundaries of AI innovation with the WEKApod Data Platform Appliance certified for NVIDIA DGX SuperPOD™. Pairing NVIDIA DGX™ infrastructure and networking technologies with the WEKA® Data Platform delivers enhanced performance for diverse AI workloads and fosters faster model training and deployment. The advanced, scale-out architecture transforms stagnant data storage silos into dynamic data pipelines that fuel GPUs more efficiently and powers AI workloads seamlessly and sustainably, on premises and in the cloud.
Reference Architecture: NVIDIA DGX SuperPOD With WEKApod Data Platform Appliance Datasheet: WEKApod Data Platform Appliance WEKA and NVIDIA Partnership
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