NVIDIA powers 26 source-linked AI deployments documented in AIUseCaseHub, across 10 industries and 11 countries. Documented deployments include AI agents, copilots, RAG.
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Use Cases
26
Industries
10
Countries
11
Agent Cases
13
Hyperscaler mix
Filter NVIDIA's implementations by cloud provider evidence.
How NVIDIA builds AIBuild, Buy & Compose — what they mean
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 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 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.
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.
Xceptor was selected as one of 13 innovators to join Microsoft’s Agentic Launchpad.Xceptor plans to deploy AI agents within its Data Automation Platform to enhance data automation capabilities and end-to-end process orchestration for capital markets operations.The platform is hosted on Microsoft Azure and integrates Azure Document Intelligence and Azure OpenAI.
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.
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.
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 sophisticated graph-based knowledge engine, researchers and scientists can reason contextually through complex data, simulate experiments, and iterate research plans faster than ever before. Built on Azure High Performance Computing (HPC) and Azure AI Foundry, it emphasizes trust, compliance, and extensibility. Real-world impact is demonstrated by Microsoft researchers rapidly developing a sustainable immersion datacenter coolant, a process that normally takes years, in just 200 hours. GSK aims to accelerate medicinal chemistry, while The Estée Lauder Companies focuses on faster product innovation. The platform integrates partner technology from NVIDIA, Synopsys, and PhysicsX to enable advances in pharma, materials, semiconductor design, and industrial engineering. Strategic alliances with Accenture and Capgemini are helping scale deployments. Microsoft Discovery is positioned as a future-proof system for solving the most challenging R&D problems using AI agents and Microsoft’s secure cloud foundation.
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.
Merck, a leader in the pharmaceutical industry, has adopted Microsoft Azure for its AI-driven initiatives tackling drug discovery, clinical trials optimization, manufacturing, and supply chain transformations. Utilizing Azure's cloud infrastructure and data analytics, Merck collaborates closely with AI leaders like Microsoft to identify and optimize drug candidates faster. The partnership fosters the development of tailored treatments and leverages generative AI for compound and target discovery. Additionally, Merck employs AI to monitor vaccine efficacy, optimize manufacturing using real-time data analysis, and engage in precision medicine applications. This approach has significantly reduced R&D costs and time-to-market for new drugs.
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 manufacturing operations. This integration targets yield optimization, predictive maintenance, and supply chain management, and extends to real-time safety monitoring on shop floors. The company has invested in partnerships with leading AI and technology providers such as Microsoft, NVIDIA, and Xomnia to accelerate production efficiency, reduce energy consumption, and improve worker safety. These AI initiatives have been active for 5-6 years, marking Tata Steel as a mature adopter of industrial AI. The company's approach demonstrates a holistic, long-term vision for operational efficiency, blending advanced analytics, IoT, and machine learning across its core business functions, resulting in significant downtime reduction, greater operational visibility, and measurable improvements in employee safety.