List of NVIDIA CUDA Customers
NVIDIA
2788 San Tomas Expressway,
Santa Clara, 95051, CA,
United States
Santa Clara, 95051, CA,
United States
1 408-486-2000
Manufacturing
36000
$130.5B
Since 2010, our global team of researchers has been studying NVIDIA CUDA 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 CUDA for Apps Development 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 CUDA for Apps Development include: BMW, a Germany based Automotive organisation with 157457 employees and revenues of $165.99 billion, Siemens, a Germany based Manufacturing organisation with 312000 employees and revenues of $84.55 billion, Oak Ridge National Laboratory, a United States based Government organisation with 7000 employees and revenues of $2.60 billion and many others.
Contact us if you need a completed and verified list of companies using NVIDIA CUDA, 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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BMW | Automotive | 157457 | $166.0B | Germany | NVIDIA | NVIDIA CUDA | Apps Development | 2025 | n/a |
In 2025 BMW implemented NVIDIA CUDA as part of its adoption of NVIDIA-accelerated application stacks to support simulation and digital twin workloads, a deployment inferred from public NVIDIA announcements referencing Omniverse and CUDA-X accelerated CAE tools. This implementation is described in the context of Apps Development, with NVIDIA CUDA positioned to provide GPU-accelerated compute for engineering simulation pipelines across the BMW Group.
The deployment is oriented around NVIDIA-accelerated applications including Omniverse and CUDA-X accelerated CAE tools, and it leverages NVIDIA s industrial AI cloud architecture to run GPU-accelerated transient aerodynamics simulations and digital twin workloads. NVIDIA CUDA is used to enable GPU acceleration within those application stacks, supporting high-throughput simulation execution and model orchestration for vehicle aerodynamics and factory planning across Europe.
Functional capabilities implemented focus on digital twin creation, transient aerodynamics simulation, and factory planning workflows, aligning the NVIDIA CUDA implementation with engineering, aerodynamics, and manufacturing planning functions. The use of Omniverse together with CUDA-X accelerated CAE tools indicates integration between visualization, physics-based simulation, and GPU-accelerated numerical solvers, with NVIDIA CUDA providing the underlying parallel compute platform.
Public NVIDIA announcements report up to 30x speedups for transient aerodynamics simulations on NVIDIA-accelerated stacks, which contextualizes the performance rationale for BMW s adoption of NVIDIA CUDA. Operationally, the implementation implies a shift to GPU-accelerated simulation pipelines and centralized GPU compute orchestration for European engineering and factory planning workstreams, improving throughput for CAE and digital twin tasks while consolidating compute on NVIDIA s industrial AI cloud.
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Oak Ridge National Laboratory | Government | 7000 | $2.6B | United States | NVIDIA | NVIDIA CUDA | Apps Development | 2014 | n/a |
In 2014 Oak Ridge National Laboratory initiated procurement of NVIDIA GPU-accelerated systems, deploying NVIDIA CUDA in the Apps Development category for the Summit supercomputer in the United States. The program centered on integrating NVIDIA Tesla GPUs with the NVIDIA CUDA programming model to enable large scale scientific high performance computing, artificial intelligence, and simulation workloads.
The deployment architecture combined GPU-accelerated compute nodes provisioned for parallel dense compute, CUDA-enabled development and runtime stacks, and an operational environment tuned for HPC and AI workloads. Functional capabilities implemented included CUDA-accelerated application runtimes, developer toolchains for porting and optimizing codes, and support for GPU-native simulation and machine learning workflows.
Procurement contracts were announced in 2014 and the Summit system became operational in 2018, hosted at Oak Ridge National Laboratory facilities in the United States. Operational scope encompassed national laboratory research programs in materials science, genomics, and physics, where researchers ran large scale simulations and AI experiments on CUDA-accelerated infrastructure.
Governance and operational changes focused on adapting research workflows to GPU architectures, establishing code modernization practices for CUDA, and coordinating compute resource scheduling for GPU-heavy jobs. The NVIDIA CUDA deployment for Summit delivered the stated outcome of major speedups for materials, genomics, and physics research through GPU-accelerated execution.
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Siemens | Manufacturing | 312000 | $84.5B | Germany | NVIDIA | NVIDIA CUDA | Apps Development | 2022 | n/a |
In 2022, Siemens integrated NVIDIA CUDA GPU acceleration into Simcenter STAR-CCM+ as part of its Apps Development enhancements, a CUDA-enabled capability Siemens announced publicly in 2022. The integration is positioned to support CFD and CAE simulation workflows used by engineering and manufacturing customers globally, with explicit emphasis on automotive and industrial design use cases.
The implementation embeds NVIDIA CUDA into the compute layer of Simcenter STAR-CCM+ to offload compute-intensive numerical kernels and enable parallelized solver execution, consistent with GPU-accelerated simulation patterns. Functional capability focus centers on CFD and CAE simulation modules, enabling higher concurrency for mesh processing, solver routines, and post-processing workloads within the Simcenter STAR-CCM+ application.
Operational coverage is across Siemens simulation and engineering teams serving product development lines, and the capability is offered to customers worldwide via the Simcenter STAR-CCM+ product. The narrative from Siemens cites CUDA and GPU acceleration explicitly, and the integration aligns the application stack with NVIDIA CUDA as the acceleration runtime for GPU compute tasks.
Governance around the rollout is product-led, documented in Siemens product communications, and intended to change how simulation workloads are provisioned on GPU-capable infrastructure in engineering contexts. Siemens states the CUDA-enabled capability targets faster simulation turnaround for automotive and industrial design scenarios, reflecting an architectural shift toward GPU-accelerated simulation within its Apps Development portfolio.
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FAQ - APPS RUN THE WORLD NVIDIA CUDA Coverage
NVIDIA CUDA is a Apps Development solution from NVIDIA.
Companies worldwide use NVIDIA CUDA, from small firms to large enterprises across 21+ industries.
Organizations such as BMW, Siemens and Oak Ridge National Laboratory are recorded users of
NVIDIA CUDA for Apps Development.
Companies using NVIDIA CUDA are most concentrated in Automotive, Manufacturing and Government, with adoption spanning over 21 industries.
Companies using NVIDIA CUDA are most concentrated in Germany and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of NVIDIA CUDA across Americas, EMEA, and APAC.
Companies using NVIDIA CUDA range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.
Customers of NVIDIA CUDA include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified NVIDIA CUDA customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Apps Development.