NVIDIA powers 8 source-linked AI deployments documented in AIUseCaseHub, across 6 industries and 5 countries. Documented deployments include AI agents.
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Use Cases
8
Industries
6
Countries
5
Agent Cases
4
Hyperscaler mix
Filter NVIDIA's implementations by cloud provider evidence.
How NVIDIA builds AIBuild, Buy & Compose — what they mean
EagleView uses aerial imagery and machine learning to provide insights for construction, real estate, insurance, emergency services, and energy customers. Its image-processing system must support large concurrent workloads and near real-time inference for use cases with tight SLAs.To address scaling and reliability challenges, EagleView migrated two ML pipelines from Amazon EKS-based infrastructure to Amazon SageMaker within eight months, standardizing deployment and using asynchronous inference and autoscaling to manage large request volumes.
Krones, a leading provider of packaging and bottling systems, partnered with Synopsys to deploy a cutting-edge digital twin framework leveraging Microsoft Azure and NVIDIA Omniverse. Traditional fluid simulation in manufacturing took several hours per run, limiting real-time process optimization and scenario testing. By implementing a GPU-accelerated, cloud-native simulation environment hosted on Azure, Krones reduced simulation runtimes from hours to under 5 minutes.The system integrates Ansys Fluent physics, Omniverse libraries, and Azure AI, resulting in a virtually realized factory floor for real-time scenario comparison and adjustment. Enhanced collaboration is enabled across engineering, operations, and R&D teams, thanks to seamless concurrency and data-driven decision-making capabilities.CADFEM Germany GmbH customized solver settings for Krones’ needs and SoftServe provided system integration for the full deployment on Azure cloud infrastructure.The technical architecture enables scalable digital twins across industries, making sophisticated simulations accessible, which significantly reduces waste, increases resource efficiency, and speeds up product development cycles.Collaboration between Synopsys, NVIDIA, and Microsoft demonstrates how digital transformation can deliver practical, rapid agility to manufacturing operations, ultimately raising productivity to new industry standards.
Fastagger, an African deep-tech startup, has developed a mobile AI business assistant to empower small and medium businesses (SMBs) in Africa. Addressing the challenge of unreliable internet and limited digital infrastructure, Fastagger’s solution runs AI models efficiently on affordable smartphones without requiring a continuous connection. The AUNI system is embedded into Safaricom’s M-PESA Business App, supporting over 2,500 MSMEs in Kenya. This on-device agent enables customer engagement automation, loyalty management, and business coaching.The AI assistant reduces previously manual processes from eight steps to just two, driving operational efficiency and customer retention. Microsoft’s Africa Transformation Office and NVIDIA have supported Fastagger with mentorship and resources, accelerating the deployment of this mobile-based AI. Key partnerships and the integration with tools like Azure AI, Azure IoT, and GitHub enable robust on-device machine learning. Real-world results underscore substantial improvements in SMB engagement, financial tracking, and growth opportunities, enhancing digital access for underserved populations.By decentralizing access to AI, Fastagger brings business intelligence and automation to bandwidth-constrained and rural environments—making it easier for SMBs to track customer data, streamline marketing, and make data-driven decisions. The SaaS product costs just $1 to $5 per month, making advanced technologies affordable for local entrepreneurs.The project illustrates how Microsoft technologies and strategic partnership can close Africa’s digital divide, offering repeatable digital business models to other regions. Fastagger’s infrastructure is available globally via Azure, expanding its impact beyond Africa. Participant feedback validates the significant value of democratized, mobile-first AI for emerging markets.
EY has launched the EY.ai Agentic Platform, integrating over 150 AI agents into its global tax and risk consulting workflows. Built in partnership with NVIDIA and leveraging Microsoft Azure, the platform supports more than 80,000 EY professionals, automating over 3 million tax compliance operations and redefining 30 million tax-related processes each year. This multi-agent solution leverages domain-specific AI models and can be deployed across various environments, including client clouds and on-premises. The platform emphasizes responsible AI with guardrails, offering transparency, reliability, and regulatory compliance. Initially deployed for tax, risk, and financial processes, the platform will extend to other sectors like life sciences, manufacturing, and telecoms. By combining AI expertise and curated data, the initiative drives operational excellence, productivity, and compliance for EY clients worldwide.
Accenture has launched its AI Refinery for Industry, offering a suite of 12 industry-specific AI agent solutions designed to help organizations quickly deploy multi-agent networks for enhanced workforce capability and business value. The platform leverages the Microsoft Cloud AI ecosystem and NVIDIA AI Enterprise, enabling rapid customization with organizational data. Use cases highlighted include revenue growth management for consumer goods, clinical trial support in life sciences, and autonomous troubleshooting in industrial operations. Accenture touts deployment time reductions from months or weeks to days, facilitating quick proof-of-value and faster innovation cycles for clients across multiple industries. The AI agents integrate business workflows and are poised to expand to over 100 solutions by year-end, addressing challenges from marketing analytics to asset management. The initiative builds on Accenture's extensive experience with generative AI, supporting over 2,000 projects and hundreds of marketing professionals using agentic AI for campaign personalization and improved analytics. The solutions, available across all public and private clouds, promise seamless integration to accelerate AI adoption across organizations.
Swisscom launched the Swiss AI Platform designed to deliver AI services 'made in Switzerland' focusing on data privacy and sovereign AI infrastructure.The platform provides modular AI services including access to NVIDIA supercomputers, generative AI models, an AI Work Hub, and AI model libraries for self-service and customized AI applications.Swisscom aims to support customers with AI project setup, customization, implementation, and secure operation, offering a choice between the Swiss AI Platform, global public cloud infrastructure, and integrated AI solutions in standard software.This solution provides Swiss customers scalable and sovereign AI services empowered by Microsoft Azure AI technologies and NVIDIA partnership, strengthening AI innovation across Swiss industries.
The City of Amarillo implemented Dell's Generative AI Solution for Digital Assistants, using Microsoft Azure AI and NVIDIA technologies to automate and enhance community service interactions.The multilingual digital assistant supports 62 languages and dialects, making civic services broadly accessible to a diverse population.The solution combines chat, voice, and AI Avatar interfaces to ensure human-like, 24/7 engagement with residents via the city's digital platforms.Dell’s validated design enables rapid deployment, adaptability, and data sovereignty, while professional services provided strategic customizations for Amarillo's needs.Digital assistants streamline routine tasks such as answering service queries, helping with forms, troubleshooting, and providing guidance, thus reducing load on human agents.The solution is scalable and modular, allowing the city to expand services and integrate with new data sources as required.With the Dell AI Factory/NVIDIA integration, Amarillo benefits from reliable infrastructure, security, and optimized AI performance.
Sight Machine, in partnership with NVIDIA and Microsoft, developed Blueprint, a high-speed automated data labeling tool that helps manufacturers leverage all of their plant data for analytics.Traditionally, manual data labeling was so time- and resource-intensive that most manufacturers could only use about 1% of available plant data, limiting analytical insights and data-driven decisions.Blueprint automates the mapping of plant data tags to assets, vastly improving data contextualization and processing speed.This enables manufacturers to prepare and analyze 100x more data, uncover insights to optimize operations, and rapidly improve throughput, quality, and sustainability.Sight Machine's extensive experience in digitizing manufacturing is combined with NVIDIA’s AI hardware/software platform and Microsoft Azure AI/ML capabilities to deliver a scalable, GPU-accelerated solution.The platform helps manufacturers eliminate costly, error-prone manual labeling, accelerates analytics-driven improvement initiatives, and provides actionable insights to drive operational excellence.Blueprint is positioned as a key digital transformation accelerator for manufacturers seeking to unlock greater value from plant data, improve inter-team collaboration, and achieve continuous productivity improvements.