List of NVIDIA AI Platform Customers
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Since 2010, our global team of researchers has been studying NVIDIA AI Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NVIDIA AI Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NVIDIA AI Platform for ML and Data Science Platforms include: Novo Nordisk, a Denmark based Life Sciences organisation with 78554 employees and revenues of $45.92 billion, Zoho Corporation, a India based Professional Services organisation with 15000 employees and revenues of $1.00 billion, Falkonry, a United States based Professional Services organisation with 70 employees and revenues of $11.0 million and many others.
Contact us if you need a completed and verified list of companies using NVIDIA AI Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The NVIDIA AI Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Falkonry | Professional Services | 70 | $11M | United States | NVIDIA | NVIDIA AI Platform | ML and Data Science Platforms | 2022 | n/a |
In 2022, Falkonry implemented the NVIDIA AI Platform alongside its Insight application to operationalize edge-based anomaly detection. The NVIDIA AI Platform is used within a ML and Data Science Platforms implementation to support automated, structured high-speed anomaly detection at the edge.
The implementation centered on Falkonry Insight's anomaly detection pipeline, including high-velocity telemetry ingestion, real-time inference, and structured event detection modules. NVIDIA Accelerated Computing was leveraged to handle inference workloads and performance sensitive processing, while the NVIDIA AI Platform provided platform level orchestration and runtime for models and data pipelines.
Edge deployment was executed on Oracle Edge Infrastructure nodes, integrating Insight with maritime shipboard operational environments to provide local inference where telemetry is generated. The operational scope targeted equipment reliability and performance monitoring, impacting reliability engineering, maintenance operations, and fleet operations workflows.
Governance and rollout emphasized model governance, phased edge provisioning, and alignment of detection outputs with maintenance workflows and operational decision making. The combined architecture of NVIDIA AI Platform, NVIDIA Accelerated Computing, Falkonry Insight, and Oracle Edge Infrastructure enabled an edge first approach to anomaly detection, supporting increased equipment reliability and performance as stated in the source.
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Novo Nordisk | Life Sciences | 78554 | $45.9B | Denmark | NVIDIA | NVIDIA AI Platform | ML and Data Science Platforms | 2025 | n/a |
In 2025 Novo Nordisk deployed the NVIDIA AI Platform as a core ML and Data Science Platforms capability to scale drug discovery, development, and data science pipelines across the organization. The deployment was driven by a strategic collaboration with Microsoft Research and built on Microsoft Azure AI and data stacks to amplify an existing culture of innovation among life scientists, computational biologists, and data scientists.
The NVIDIA AI Platform implementation was configured to provide a unified discovery layer for data and models, an advanced reasoning copilot for researcher workflows, collaborative templates that capture reasoning chains, and an AI factory for iterative model building and reuse. These modules were purpose built to support use cases spanning regulatory affairs, early research, drug discovery, and trial design, with emphasis on model fine tuning, reproducibility, and template-driven knowledge transfer.
Architecturally the platform was integrated with Azure OpenAI Service for applied model inference, Azure Cosmos DB for AI application data, and Azure Kubernetes Service for containerized model deployments and orchestration. Power Platform tooling including Power BI and Power Apps was used to surface insights and accelerate cross-functional collaboration, enabling researchers and subject matter experts to interact with models and data through familiar interfaces.
Governance was embedded through auditing and tracking of reasoning chains and model usage to ensure traceability and compliance with research workflows. The initiative produced publishable outcomes, including initial predictive AI models for advanced cardiovascular risk detection that the teams reported as outperforming current clinical standards, and the platform design emphasizes reuse and continued co-development beyond the Microsoft Research partnership.
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Zoho Corporation | Professional Services | 15000 | $1.0B | India | NVIDIA | NVIDIA AI Platform | ML and Data Science Platforms | 2024 | n/a |
In 2024, Zoho Corporation began leveraging the NVIDIA AI Platform to build and deploy large language models within its SaaS applications, aligning the work with the ML and Data Science Platforms category. The deployment uses NVIDIA AI Enterprise components, including the NVIDIA NeMo end to end development platform and NVIDIA accelerated computing infrastructure. This initiative targets integration across Zoho and ManageEngine products to surface contextual AI functionality within existing business workflows.
Zoho is configuring NVIDIA NeMo to develop custom generative AI capabilities, spanning LLMs as well as multimodal, vision, and speech AI, and the company is building narrow, small, and medium models alongside larger LLMs to provide model size options for different use cases. Model optimization work leverages NVIDIA Hopper GPUs and NVIDIA TensorRT-LLM to tune inference characteristics. The NVIDIA AI Platform is being used for both training throughput and inference latency optimization.
Operational scope includes deployment into Zoho’s SaaS stack and availability to more than 700,000 customers globally across ManageEngine and Zoho.com, delivering AI features across a portfolio of over 100 products. Zoho intends to integrate models into business functions across its product suite to provide contextual intelligence for decision support, automation, and customer interactions. The company is also accelerating workloads like speech to text on the same NVIDIA accelerated computing infrastructure.
Governance and data handling are explicit parts of the implementation, Zoho states its LLMs will not be trained on customer data and privacy is embedded from design through deployment. Zoho has invested more than USD 10 million in NVIDIA technology and GPUs to date and plans a further USD 10 million investment, indicating a multi year infrastructure commitment. Performance testing with NVIDIA TensorRT-LLM produced a 60 percent increase in throughput and a 35 percent reduction in latency compared with a previously used open source framework.
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