NVIDIA Nemotron

NVIDIA Nemotron is a family of highly efficient, multimodal, open AI models built for long-running, self-evolving agents, designed for fast task completion with high reasoning throughput and leading accuracy for complex agent workflows. NVIDIA publishes the training datasets, techniques and model weights openly, and the family includes models for reasoning (Nano, Super and Ultra sizes), visual understanding, speech, retrieval-augmented generation (RAG), and safety, available as optimized NVIDIA NIM microservices for enterprise deployment.

Official product page

4published use cases

4industries

3countries on record

Agentic AI

top AI capability

Evidence mix: High 4 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

4 use cases

EducationConversational AILarge Language ModelsGenerative AI

University of Florida builds NaviGator AI platform on HiPerGator supercomputer using NVIDIA NIM and Nemotron

The University of Florida uses its HiPerGator supercomputer with NVIDIA NIM microservices and Llama NIM to power NaviGator, a suite of self-service AI tools including chatbots and a toolkit giving students, faculty, and staff access to proprietary and open-source models. The platform is a hybrid service combining on-premises HiPerGator infrastructure with AWS, Google Cloud, and Azure, built for cost predictability, data privacy, and on-premises control of sensitive research and student PII data. Key takeaways include nearly 24,000 unique users for NaviGator Chat, 1,500+ unique uses of NaviGator ToolKit (52% from university staff), and 20 LLMs available in NaviGator.

University of Florida· United StatesNVIDIA NIM · NVIDIA Nemotron · Llama NIM

AutomotiveRobotics & Physical AIDigital Twins & SimulationLarge Language Models

Hyundai Motor Group builds NVIDIA Blackwell AI factory for mobility and smart factories

Hyundai Motor Group is building an AI factory using 50,000 NVIDIA Blackwell GPUs to train, validate and deploy AI for in-vehicle systems, autonomous driving, smart factories and robotics. The collaboration includes an approximately $3 billion investment with the Korean government to build a national physical AI cluster, an NVIDIA AI Technology Center and Hyundai's Physical AI Application Center. Hyundai is exploring using NVIDIA Omniverse and Cosmos on RTX PRO Servers for factory digital twins, and using NVIDIA DRIVE AGX Thor running DriveOS for driver-assistance and in-vehicle AI.

Hyundai Motor Group· South KoreaNVIDIA Blackwell GPUs · NVIDIA Omniverse · NVIDIA Cosmos +6

HealthcareAgentic AIRobotics & Physical AIComputer Vision

Foxconn deploys NVIDIA-powered agentic and physical AI across Taiwan's medical centers under Healthy Taiwan initiative

Foxconn's CoDoctor AI platform, with new AI agents including an ECG AI Agent, Corovia AI Agent and Endovia AI Agent, and Nurabot nursing collaborative robots powered by NVIDIA NemoClaw, have moved from pilot programs into clinical operations across Taiwan's major medical centers. This is part of the government-backed $1.5 billion Healthy Taiwan initiative, with a majority of Taiwan's medical centers already using AI for over 14 million patient encounters annually.

Foxconn· TaiwanNVIDIA NemoClaw · NVIDIA Nemotron · NVIDIA OpenShell +2

TelecommunicationsGenerative AIRetrieval-Augmented GenerationAgentic AI

Amdocs Builds Generative AI Agents for Telecom

Amdocs built amAIz, a domain-specific generative AI platform helping telecom companies transform customer experiences, automate processes and optimize decision-making, using NVIDIA DGX Cloud, NVIDIA AI Enterprise software, NVIDIA NIM inference microservices, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys spanning sales, billing and care. Using NVIDIA NIM microservices and telecom-based retrieval-augmented generation, Amdocs reduced tokens consumed by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, and reduced query latency by approximately 80 percent.

AmdocsNVIDIA DGX Cloud · NVIDIA AI Enterprise · NVIDIA NIM +2