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NVIDIA

NVIDIA DGX SuperPOD

NVIDIA DGX SuperPOD is a full-stack, turnkey AI data center platform combining leadership-class computing, storage, networking, software and infrastructure management, purpose-built for the most challenging AI training and inference workloads. Available with NVIDIA Rubin and Blackwell-powered compute options, it scales to tens of thousands of GPUs to tackle training and inference for trillion-parameter generative AI models, with customers including BNY, MITRE, SoftBank Corp, University of Florida, and Naver Corporation.

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5published use cases
5industries
1countries on record
Generative AI
top AI capability

Evidence mix: High 5 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

5 use cases

ManufacturingLarge Language ModelsGenerative AIAgentic AICode Generation

MediaTek Accelerates AI Development With an AI Factory

MediaTek established an on-premises AI factory powered by NVIDIA DGX SuperPOD with NVIDIA Blackwell-based systems to accelerate enterprise AI efforts, including development of its Breeze series LLMs and a 480-billion-parameter traditional-Chinese model. The AI factory processes approximately 60 billion tokens per month for inference and completes over 24,000 model-training iterations monthly, training models exceeding 480 billion parameters within one week (versus 7-billion-parameter models in a week previously). Using NVIDIA NIM and TensorRT-LLM, MediaTek achieved a 40% improvement in inference speed and 60% increase in token throughput. NVIDIA Mission Control consolidated GPU provisioning and system monitoring, while AI-assisted code completion and an AI agent for chip design documentation reduced documentation time from weeks to days. NVIDIA Riva was integrated into NVIDIA DGX Spark for agentic voice control features like internet search, calendar and messaging.

MediaTekNVIDIA DGX SuperPOD · NVIDIA Blackwell · NVIDIA NIM +5
Aerospace & DefenseGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI Model Development & MLOps

Boosting Innovation and Cutting Costs Through Lockheed Martin's AI Factory

Lockheed Martin centralized compute resources, MLOps tools and best practices into the Lockheed Martin AI Factory, built on an NVIDIA DGX SuperPOD reference architecture, to build and deploy trustworthy AI at scale on-premises under strict data governance requirements. Developers can now get GPU-backed environments running in minutes instead of weeks, and training times dropped from weeks to days. The AI factory processes over one billion tokens per week and now serves 7,000 engineers and developers, supporting internal chatbots and coding assistants such as Lockheed Martin Text Navigator, and has consolidated 30+ models on-premises.

Lockheed MartinNVIDIA DGX SuperPOD · NVIDIA Triton Inference Server · NVIDIA NeMo Framework +2
Government & Public SectorAI Model Development & MLOpsPredictive Analytics

MITRE's Federal AI Sandbox accelerates government AI research with NVIDIA DGX SuperPOD

Nonprofit MITRE built the Federal AI Sandbox, powered by NVIDIA DGX SuperPOD, to give federal sponsors an affordable, centralized space to test and deploy AI and machine learning across domains such as weather forecasting, cybersecurity, and public benefits administration. The DGX SuperPOD delivers a 300-fold performance increase over MITRE's previous AI computing capabilities and supports thousands of researchers; MITRE is using it with NVIDIA Omniverse and NVIDIA Earth-2 to develop 1-kilometer precision weather forecasts with NOAA and the National Weather Service, plus a foundational model for cybersecurity threat analysis across 190 nations.

MITRENVIDIA DGX SuperPOD · NVIDIA Omniverse · NVIDIA Earth-2 +1