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NVIDIA NeMo

6 use cases using this technology · by NVIDIA

6published use cases
5industries
2countries on record
Large Language Models
top AI capability

Evidence mix: High 6 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

6 use cases

HealthcareSpeech & Audio AIAI Model Development & MLOps

Heidi Health fine-tunes NVIDIA Parakeet/Nemotron ASR, cutting clinical transcription latency 75% and costs 64%

Heidi Health, which processes 2.4 million clinical consultations weekly across 110 languages, fine-tuned the open NVIDIA Parakeet V2 speech recognition model on 1,500 hours of curated clinical audio using the NVIDIA NeMo framework and 8x H100 GPUs, replacing its closed-source vendor ASR. The in-house Nemotron-based ASR stack cut end-to-end transcription latency from about 3.0 seconds to 0.7 seconds (75%+ improvement), reduced word error rate from 13% to 9.4%, and cut operating costs by 64% by eliminating per-minute API pricing, while giving Heidi full ownership of model weights for data sovereignty.

Heidi HealthNVIDIA Parakeet V2 · NVIDIA NeMo · NVIDIA Nemotron ASR +1
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
TelecommunicationsAgentic AIGenerative AILarge Language Models

AT&T Drives AI Agents' Accuracy, Efficiency, and Performance With NVIDIA

AT&T built 'Ask AT&T' customer service AI agents and worked with implementation partner Quantiphi to use NVIDIA AI Enterprise, NVIDIA NeMo and NIM microservices to build a data-flywheel platform for continuous fine-tuning and evaluation. The pipeline uses NeMo Curator to clean training data, NeMo Customizer to fine-tune base models (Mistral 7B was selected as optimal), NeMo Evaluator to measure performance (Rouge, BERT F1), and NeMo Retriever for up-to-date retrieval, with models deployed as NIM microservices. AT&T reports up to 40% improvement in response accuracy after fine-tuning and an 84% decrease in call center analytics cost, and is collaborating with Arize AI to automate identification of difficult AI interactions.

AT&TNVIDIA NeMo · NVIDIA NIM · NVIDIA AI Enterprise +1
ManufacturingLarge Language ModelsDigital Twins & SimulationComputer VisionRobotics & Physical AI

Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins

Foxconn (Hon Hai Technology Group) uses physically accurate digital twins integrating NVIDIA Omniverse libraries and OpenUSD to design, deploy, and manage high-volume production facilities, including those producing NVIDIA GB200 Grace Blackwell Superchip systems. Its Fii Omniverse Digital Twin (FODT) platform creates virtual replicas of factories, enabling simulation-driven design, real-time monitoring, and optimized operations. Using NVIDIA PhysicsNeMo AI models, Foxconn achieves 150x faster computational fluid dynamics simulations for thermal analysis (minutes vs. hours). Standardized OpenUSD-based digital twin assets enable rapid migration of entire production lines between global factories (e.g., Taiwan to Mexico). Robot workcells and AGV logistics are simulated in FODT before physical deployment: complex robotic tasks such as screw tightening and cable insertion are simulated and refined with NVIDIA Isaac Sim, Isaac Lab, FoundationPose models, and NVIDIA cuMotion, while AGV path is optimized by connecting simulations with Material Control Systems and NVIDIA cuOpt. Foxconn also built video analytics AI agents with NVIDIA Metropolis and the NVIDIA AI Blueprint for video search and summarization to monitor factory floors, and developed FoxBrain, an AI platform powered by NVIDIA NeMo trained in four weeks, described as Taiwan's first large language model with advanced reasoning capabilities. Leo Guo, General Manager of Fii Robotic Group, said the company believes it can cut factory setup and planning time by about 50%.

Foxconn (Hon Hai Technology Group)NVIDIA Omniverse · OpenUSD · NVIDIA PhysicsNeMo +5
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