DGX SuperPOD

JSON twin: https://www.healthaidb.com/software/dgx-superpod.json

Company Name

NVIDIA

Product URL

https://www.nvidia.com/en-us/data-center/dgx-superpod/

Company URL

https://www.nvidia.com

Categories

• health Data Analytics
• infrastructure Management
• enterprise Solutions
• ai Clinical Documentation Integrity
• clinical Decision Support
• imaging Software
• healthcare Platform
• clinical Research
• software Development
• Computational
• Infrastructure
• Enterprise
• Ai
• Hpc
• Data_center
• Healthcare
• Research
• Scalable
• Software

Summary

NVIDIA DGX SuperPOD is a high-performance AI infrastructure solution designed to accelerate AI workloads and high-performance computing (HPC) tasks, offering scalable and efficient computing resources for enterprises and research institutions.

Description

NVIDIA DGX SuperPOD is an integrated hardware and software solution optimized for AI and HPC workloads. It combines NVIDIA DGX systems, networking, storage, and software to deliver a unified platform capable of handling complex AI tasks, including deep learning, data analytics, and scientific simulations. The system is designed for scalability, enabling organizations to expand their AI capabilities as needed. Key components include NVIDIA Base Command for orchestration, NVIDIA NGC for AI software, and NVIDIA AI Enterprise for enterprise-grade AI development. The DGX SuperPOD has been adopted by institutions like the Mayo Clinic to enhance AI-driven healthcare innovations, such as accelerating digital pathology and generative AI applications. Additionally, organizations like SHI International offer lifecycle management services for DGX SuperPOD deployments, providing end-to-end support from sourcing to ongoing maintenance. The system has been recognized for its role in advancing AI research and applications across various sectors, including healthcare, by providing the computational power necessary for developing and deploying AI models at scale.

Api Available

unknown

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO

Company Founding

1993

Company Offices

• United States
• Canada
• United Kingdom
• Germany
• France
• India
• China
• Japan
• South Korea
• Australia

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001

Customers

Data Residency

US/EU regions

Data Standards

• NVIDIA GPUDirect Storage
• NFS-over-RDMA protocol
• Multiprotocol data access (NFS, SMB, S3)

Deployment Model

• on_prem
• hybrid

Features

• High-performance AI infrastructure
• Scalable performance for AI training and inference
• Integrated computing, storage, networking, and software
• Support for large-scale AI models
• Enterprise-grade cluster and workload management
• Optimized for AI workloads

Id

SW2615

Integration Partners

Integrations

• NVIDIA DGX H200 System
• NVIDIA DGX GB300 Systems
• NVIDIA DGX B300 Systems
• NetApp AFF A90 Storage Systems
• Dell PowerScale Storage
• DDN A³I Multitenancy
• SHI AI Lifecycle Management Service

Languages Supported

• English
• Spanish
• French
• German
• Chinese
• Japanese
• Korean
• Portuguese
• Russian
• Arabic
• Hindi
• Italian
• Dutch
• Swedish
• Danish
• Norwegian
• Finnish
• Polish
• Turkish
• Hebrew

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• research_institutions
• healthcare
• government

Optional Modules

• NVIDIA Base Command Manager
• NVIDIA DGX OS
• NVIDIA NGC Portal Integration
• SLURM resource management
• enroot and pyxis for containerized workloads

Os Platforms

• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

enterprise_quote

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW2615

Product Name

DGX SuperPOD

Ratings

Regions Available

• United States
• Canada
• Europe
• Asia
• Australia
• South America
• Africa
• Middle East
• India
• China
• Japan
• South Korea
• Singapore
• Brazil
• Mexico
• Russia
• South Africa
• Saudi Arabia
• United Arab Emirates
• Israel

Related Urls

Release Year

""

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA
• DLP

Specialties

• Ai_infrastructure
• Hpc
• Deep_learning
• Data_analytics
• Scientific_simulations
• Digital_pathology
• Generative_ai
• Healthcare_innovation
• Ai_research
• Enterprise_ai
• Ai_deployment
• Ai_operations
• Ai_scalability
• Ai_performance
• Ai_management
• Ai_orchestration
• Ai_software
• Ai_enterprise
• Ai_lifecycle_management
• Ai_adoption

Support Channels

System Requirements

NVIDIA DGX H200 System, NVIDIA DGX GB300 Systems, NVIDIA DGX B300 Systems, NetApp AFF A90 Storage Systems, Dell PowerScale Storage, DDN A³I Multitenancy, SHI AI Lifecycle Management Service

Target Users

• data_scientists
• AI_engineers
• researchers
• IT_administrators
• healthcare_professionals
• government_agencies

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "company_name": "NVIDIA",
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  "company_url": "https://www.nvidia.com",
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  "description": "NVIDIA DGX SuperPOD is an integrated hardware and software solution optimized for AI and HPC workloads. It combines NVIDIA DGX systems, networking, storage, and software to deliver a unified platform capable of handling complex AI tasks, including deep learning, data analytics, and scientific simulations. The system is designed for scalability, enabling organizations to expand their AI capabilities as needed. Key components include NVIDIA Base Command for orchestration, NVIDIA NGC for AI software, and NVIDIA AI Enterprise for enterprise-grade AI development. The DGX SuperPOD has been adopted by institutions like the Mayo Clinic to enhance AI-driven healthcare innovations, such as accelerating digital pathology and generative AI applications. Additionally, organizations like SHI International offer lifecycle management services for DGX SuperPOD deployments, providing end-to-end support from sourcing to ongoing maintenance. The system has been recognized for its role in advancing AI research and applications across various sectors, including healthcare, by providing the computational power necessary for developing and deploying AI models at scale.",
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  "integrations": [
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    "DDN A³I Multitenancy",
    "SHI AI Lifecycle Management Service"
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  "data_standards": [
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  "compliance": [
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}