NVIDIA
AI Implementations & Use Cases
Hyperscaler mix
Filter NVIDIA's implementations by Microsoft, AWS, or GCP provider evidence.
How NVIDIA builds AI
Build / Buy / Compose across this partner's documented cases
18 of 25 cases classified (72%) · Compare all use-case types
Reported outcomes
5 cases report measurable results
−66%
Cost savings
median · 7 metrics
−60%
Time & speed
median · 4 metrics
−25%
Sustainability & resources
median · 3 metrics
Medians of results published in NVIDIA cases, normalized for comparability. See all benchmarks →
Evidence persistence
14 of 14 judgeable cases are still publicly referenced · 11 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
All Use Cases (25)
Galileo case study | Google Cloud
Galileo built an LLM reliability platform on Google Cloud to help customers de-risk, evaluate, and monitor generative and agentic AI applications.The company uses Gemini, Vertex AI, Google Kubernetes Engine, Cloud SQL, Cloud Storage, Vector Search, BigQuery, and NVIDIA GPUs to run evaluation agents, multi-region deployments, and retrieval-augmented workflows.The platform supports large-scale experimentation, model behavior measurement, and mitigation of hallucinations and other reliability issues for customer AI applications.
EagleView reduces costs and processing time for aerial imagery extraction with Amazon SageMaker
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.
Fireworks.ai delivers 4x generative AI throughput and cuts latency using AWS EC2 P5 (NVIDIA H100)
Fireworks.ai provides a fast, affordable, and customizable generative AI inference platform for developers and enterprises.The company uses AWS infrastructure to host and scale its inference service, including containerized deployments in customer virtual private clouds.It upgraded from Amazon EC2 P4d to Amazon EC2 P5 Instances powered by NVIDIA H100 Tensor Core GPUs to improve performance and cost efficiency.
Alibaba2026 Beijing Auto Show: Multiple Chinese automakers integrate Qwen agentic AI into in-cabin systems (edge+cloud)
On the opening day of the 2026 Beijing Auto Show, leading Chinese automakers including BYD, Geely, Li Auto, Changan Automobile, Dongfeng Motor, BAIC, Great Wall Motor, SAIC Volkswagen, and SAIC IM Motors announced integration of Qwen into their intelligent vehicle systems.Select models from these manufacturers will offer Qwen-powered AI services directly within the cabin, enabling users to book hotels, purchase attraction tickets, order food delivery, track parcels, and more.Alibaba Cloud describes an edge + cloud collaborative architecture for smart cockpits: Qwen-Omni runs on the edge to perceive and interpret the physical environment, while cloud-side Qwen agentic AI capabilities understand natural-language commands, decompose intents, plan multi-step workflows, and orchestrate scenario-specific agents for seamless execution.The article also notes an earlier FAW Hongqi 'Lingxi Cockpit' implementation that integrated Qwen agentic AI into an intelligent system on the Hongqi HS6 PHEV for ambiguous voice recognition and complex multi-step task planning.Alibaba says it is also adapting Qwen-Omni to run on NVIDIA DRIVE AGX Thor for in-cabin human-machine interaction.
Krones achieves real-time optimization of packaging lines with digital twin framework
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.
MicrosoftFastagger empowers African SMBs with mobile AI assistant
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.
Schneider Electric builds global industrial AI ecosystem for energy management and automation
Schneider Electric, a global leader in energy and industrial automation, faced growing operational complexity and rising energy demands in AI-driven industrial environments. To maintain its leadership and advance sustainability, Schneider Electric developed an AI-native ecosystem centered on its EcoStruxure platform and powered by Microsoft Azure AI Foundry and Azure OpenAI. Strategic alliances with Microsoft and NVIDIA enabled the integration of AI throughout energy, automation, and sustainability applications. Schneider Electric now delivers industrial AI copilots, end-to-end AI-ready infrastructure for high-density data centers (including liquid cooling with Motivair), predictive maintenance, and a data-driven 'self-healing' supply chain. The architecture enables seamless connection from sensors and hardware to cloud AI services, driving outcomes like lower costs, accelerated delivery, and massive reductions in energy and carbon footprint. Schneider Electric has achieved a €130M+ supply chain value, reduced inventory/delivery times, and scaled recurring AI software revenues. Its open ecosystem and vertical integration make it a dominant industrial AI partner globally.
Global Innovators Accelerate Scientific Discovery with AI-Driven Agents
Microsoft Discovery is a new enterprise AI agent platform designed to transform research and development (R&D) across sectors. By orchestrating specialized AI agents with a sophist...
EY transforms global tax compliance with large-scale AI agents
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 Micros...
Merck leverages AI and Azure to transform pharmaceutical innovation
Merck, a leader in the pharmaceutical industry, has adopted Microsoft Azure for its AI-driven initiatives tackling drug discovery, clinical trials optimization, manufacturing, and ...
MicrosoftTata Steel achieves operational excellence with enterprise AI in steel manufacturing
Tata Steel, a major steel producer headquartered in India with global reach, has integrated over 550 AI models—including Microsoft Azure-based solutions—across its mining and steel...
MicrosoftOver 100 Manufacturers Optimize Operations with Siemens Industrial Copilot
Siemens has implemented the Siemens Industrial Copilot, an agentic AI system leveraging Microsoft technology, across more than 100 manufacturing companies in Europe and the United ...
Industry Leaders Advance Autonomous Manufacturing, Robotics, and AI-Driven Supply Chains
At Hannover Messe 2025, Accenture and Microsoft demonstrated real-world applications of AI agents in the manufacturing sector.Collaborations highlighted new levels of autonomous manufacturing, combining digital twins, automation, and cloud technologies for improved efficiency and flexibility.Sessions and keynotes explored how connected data, agentic architectures, and skilled workforces drive innovation and resilience across the value chain.Live demonstrations included scenarios such as autonomous supply chain management, 'batch of one' agile manufacturing, humanoid robot collaboration on the factory floor, and AI-powered control towers.Accenture, Schaeffler AG, Bridgestone EMIA, ABB, and VOITH, together with technology leaders like NVIDIA, Google, AWS, Siemens, SAP and Dell Technologies, showcased joint demos focused on real-time analytics, predictive alerts, generative AI, and distributed data orchestration.The event emphasized the transformative impact of Microsoft technologies including Azure AI, Azure OpenAI, Azure Digital Twins, and AI Agents, co-developing autonomous business models and resilient operations.Deep dives into topics such as IT/OT cybersecurity, modular manufacturing, Omnichannel automotive experiences, and satellite-powered 5G were part of the industry’s forward-looking agenda.
Capgemini brings smart agentic AI to manufacturing and beyond, boosting agility and compliance
Capgemini, in partnership with NVIDIA, deploys custom agentic AI solutions for manufacturing and other sectors. Leveraging the NVIDIA NIM and AI Enterprise platform, Capgemini’s ag...
Accenture deploys industry-specific AI agents to accelerate business transformation
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.
Schaeffler Transforms Factory Automation and Human-Robot Collaboration
At Hannover Messe 2025, Schaeffler, in partnership with Accenture and Avanade, demonstrated a real-world industrial automation solution that integrates digital twins, advanced robo...
Swiss startups develop AI solutions with Microsoft Accelerator
Microsoft has re-launched its AI Tech Accelerator Community in Switzerland to foster AI innovation in startups. The five-month program aims to provide technical and business suppor...
MicrosoftFPT Software Drives Predictive Maintenance in Automotive Sector
FPT Software has implemented AI-powered predictive maintenance solutions in the automotive industry, leveraging machine learning and real-time sensor data analytics to revolutionize maintenance practices. Traditional maintenance strategies are often reactive or scheduled, leading to unplanned downtime, excessive costs, or insufficient care. FPT Software’s approach uses machine learning algorithms to predict future equipment failures, allowing for timely intervention and minimizing production disruptions.The solution analyzes data from vehicle and equipment sensors to detect anomalies, generate maintenance alerts, and optimize repair schedules. High-profile implementations include collaborations with BMW and Volvo Trucks, achieving significant reductions in diagnostic and repair times and minimizing unplanned stops. By integrating predictive analytics, vehicle safety and reliability are enhanced, and manufacturing assembly lines experience fewer disruptions.In addition, the adoption of these AI-powered systems contributes to environmental sustainability by reducing component waste, emissions, and energy consumption. FPT Software aims to position Vietnam as an automotive AI hub through partnerships with major AI organizations such as NVIDIA, AITOMATIC, and Mila Institute. The company has also launched a dedicated subsidiary to accelerate software-defined vehicle development and smarter mobility.Detailed results from real-world cases demonstrate improvements such as a 70% reduction in diagnostic time, a 25% decrease in repair time, and a 25% drop in unplanned stops for fleets. BMW's plant assembly process, supported by advanced analytics and alarms, avoided 500 minutes in assembly disruptions annually. Environmental benefits have also been quantified with 30% fewer emissions, 25% lower energy use, and a 20% reduction in waste due to more optimized maintenance practices.FPT Software's vision is for a digital transformation in automotive manufacturing and operations, combining advanced analytics, real-time monitoring, and AI partnerships to create a more efficient and sustainable industry.
MicrosoftNovo Nordisk transforms drug development with AI integration
Novo Nordisk, a global pharmaceutical leader, is revolutionizing drug development through strategic integration of AI and advanced analytics. Spearheaded by Dr. Faisal M. Khan, the company's corporate vice president of AI and analytics, Novo Nordisk leverages partnerships with Valo Health, Microsoft, MIT, and NVIDIA. They invest heavily in AI talent, infrastructure, and the establishment of innovation hubs such as the national AI Innovation Centre in Denmark and a new AI research hub in London. Key AI applications include accelerating the identification of drug candidates for chronic diseases and designing personalized treatment plans to improve patient outcomes. Infrastructure improvements include leveraging Microsoft's cloud technology for scaled computational power and NVIDIA hardware for supercomputing. Challenges include managing vast data, navigating complex regulations, and attracting top AI talent. The company remains committed to advancing global collaborations and ensuring sustainable, renewable-powered data center operations for long-term pharmaceutical innovation.
MicrosoftSwisscom Launches Swiss AI Platform for Customized AI Solutions
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.
MicrosoftCity of Amarillo Automates Citizen Services with Generative AI Digital Assistants
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.
KUKA and Schneider Electric accelerate industrial transformation with AI-enhanced manufacturing
This use case highlights how KUKA and Schneider Electric transformed manufacturing operations by leveraging advanced Microsoft technologies. At Hannover Messe 2024, they showcased real-world implementations of AI, IoT, and cloud technologies across the factory value chain—from accelerating robot programming to unifying IT and OT data. By employing solutions such as Azure OpenAI Service, Microsoft Fabric, Copilot, and Microsoft Cloud for Manufacturing, they improved quality, resource optimization, employee enablement, and sustainability across manufacturing functions. Multiple partners, including Hexagon, NVIDIA, PTC, and Rockwell Automation, collaborated to deliver intelligent, resilient, and sustainable operations. The demonstration included customer showcases such as BMW Group and addressed pressing manufacturing challenges, including rapid product development, issue resolution, and supply chain resilience.Innovations included new Copilot tools for factory operations, Dynamics 365 Field Service enhancements, and next-gen analytics in Fabric. The initiative demonstrated reduced development cycles, improved technician workflows, and smarter, data-driven decision making.This enabled factories to accelerate programming of industrial robots, apply AI-driven analytics for proactive maintenance, and optimize end-to-end operations. Enhanced employee productivity was achieved through AI-augmented tools like Copilot and Power Platform, extending benefits across HR, field service, and production. Sustainability was also addressed with Microsoft Sustainability Manager, helping organizations monitor and reduce environmental impacts through data and AI-driven insights.Over 130,000 attendees at Hannover Messe experienced nearly 40 live demos and presentations on these AI-powered manufacturing solutions. The showcase illustrated the power of collaboration among manufacturers, technology partners, and Microsoft, making a strong case for AI as a key enabler of industrial transformation.
Microsoft and NVIDIA Accelerate Healthcare AI Innovations
Microsoft partners with NVIDIA to accelerate advancements in healthcare and life sciences using Azure-hosted NVIDIA BioNeMo and DGX Cloud. By leveraging generative AI foundation mo...
Forethought uses Amazon SageMaker multi-model endpoints to reduce generative AI inference costs
Forethought Technologies’ SupportGPT platform serves more than 30 million customer interactions annually with personalized embeddings, intent detection, autocomplete, and response generation models.The company migrated embeddings and autocomplete models from Amazon EKS to Amazon SageMaker multi-model endpoints to improve GPU utilization, reduce OOM errors, and lower inference hosting costs.
MicrosoftSight Machine unlocks plant-wide analytics with automated data labeling for manufacturers
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.