List of VMware Private AI Foundation with NVIDIA Customers
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Since 2010, our global team of researchers has been studying VMware Private AI Foundation with NVIDIA 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 VMware Private AI Foundation with NVIDIA for AI infrastructure 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 VMware Private AI Foundation with NVIDIA for AI infrastructure include: Audi Germany, a Germany based Automotive organisation with 54000 employees and revenues of $81.04 billion, NTT DoCoMo, a Japan based Communications organisation with 22955 employees and revenues of $39.92 billion, USSFCU, a United States based Banking and Financial Services organisation with 2000 employees and revenues of $500.0 million and many others.
Contact us if you need a completed and verified list of companies using VMware Private AI Foundation with NVIDIA, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Audi Germany | Automotive | 54000 | $81.0B | Germany | VMware by Broadcom | VMware Private AI Foundation with NVIDIA | AI infrastructure | 2024 | n/a |
In 2024, Audi Germany is positioned to adopt VMware Private AI Foundation with NVIDIA, leveraging its existing VMware Cloud Foundation private cloud that centralizes infrastructure for factory automation and smart manufacturing in Germany. This positioning links Audi Germany, VMware Private AI Foundation with NVIDIA, and the AI infrastructure category to on‑premises initiatives that support industrial automation and manufacturing engineering functions.
The inferred implementation profile anticipates core AI infrastructure capabilities such as model lifecycle management, Kubernetes based model orchestration, GPU scheduling and acceleration for training and inference, and secured data access controls. VMware Private AI Foundation with NVIDIA would be configured to run on top of the VMware Cloud Foundation stack already used by Audi, aligning compute virtualization and container orchestration with GPU resources for operational AI workloads.
Integrations are described explicitly around VMware Cloud Foundation and NVIDIA GPU acceleration, with operational coverage focused on Audi’s factory automation and smart manufacturing environments in Germany. The deployment structure is centralized private cloud infrastructure, enabling model development and inference workloads to be hosted within Audi’s controlled data centers rather than public cloud footprint, consistent with the AI infrastructure posture.
Broadcom and VMware public messaging lists Audi as a VMware Cloud Foundation customer and positions VCF customers to adopt the joint Private AI solution, therefore the use of VMware Private AI Foundation with NVIDIA at Audi is presented as an informed inference rather than a confirmed standalone case study. Implementation would require governance for model access, data protection, and phased rollout across manufacturing sites, and this narrative explicitly notes that public sources confirm VCF use but do not publish a dedicated Private AI case study for Audi.
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NTT DoCoMo | Communications | 22955 | $39.9B | Japan | VMware by Broadcom | VMware Private AI Foundation with NVIDIA | AI infrastructure | 2024 | n/a |
In 2024, NTT DoCoMo positioned VMware Private AI Foundation with NVIDIA as part of its AI infrastructure roadmap. NTT DoCoMo has deployed VMware Cloud Foundation as part of its infrastructure modernization, and Broadcom highlights the carrier as a major VMware Cloud Foundation customer in the Asia region, creating the platform context for private AI initiatives.
The VMware Private AI Foundation with NVIDIA framing for AI infrastructure implies deployment patterns centered on GPU accelerated model hosting, orchestration and model lifecycle management. Typical functional capabilities aligned to this architecture include model training and inference serving, model versioning and rollback, Kubernetes based orchestration, GPU resource scheduling, secure model serving endpoints, and role based access and identity controls to meet carrier security requirements.
Operational integration builds on the existing VMware Cloud Foundation deployment and NVIDIA GPU acceleration to consolidate compute and virtualization layers for telco workloads in Japan, with explicit business function focus on network automation and customer experience engineering. Public materials confirm VMware Cloud Foundation use but do not provide a dedicated DOCOMO Private AI case study, Broadcom states VCF customers are adopting Private AI services and DOCOMO’s VCF footprint positions the carrier to leverage Private AI infrastructure for telco use cases.
Governance considerations emphasized in this implementation context center on model lifecycle controls, data access governance and deployment workflow orchestration to align with carrier change control and security processes. The narrative outlines NTT DoCoMo, VMware Private AI Foundation with NVIDIA, AI infrastructure and the targeted telco business functions without asserting a published, product level DOCOMO Private AI deployment outcome.
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USSFCU | Banking and Financial Services | 2000 | $500M | United States | VMware by Broadcom | VMware Private AI Foundation with NVIDIA | AI infrastructure | 2024 | n/a |
In 2024, USSFCU deployed VMware Cloud Foundation alongside VMware Private AI Foundation with NVIDIA to establish an on-premises AI infrastructure for its U.S. financial services operations. The VMware Private AI Foundation with NVIDIA deployment was positioned to host private AI services including chatbots and knowledge assistants that accelerate member support and automate loan and service processes, providing the core AI infrastructure layer for customer-facing and back-office workflows.
The implementation used VMware Cloud Foundation as the underlying platform and kept data on-premises to align with financial services data governance requirements, with VMware reporting that Private AI can be stood up in days which supported a rapid rollout. Operational scope centered on member support and loan/service process automation, and the deployment aimed to improve member support responsiveness and staff productivity while maintaining on-premises data control.
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