List of Oracle OCI AI Infrastructure Customers
Oracle
2300 Oracle Way,
Austin, TX, 78741,
United States
Austin, TX, 78741,
United States
1 737-867-1000
Professional Services
162000
$67.4B
Since 2010, our global team of researchers has been studying Oracle OCI AI Infrastructure 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 Oracle OCI AI Infrastructure 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 Oracle OCI AI Infrastructure for AI infrastructure include: Meta Platforms, a United States based Professional Services organisation with 78865 employees and revenues of $200.97 billion, Bechtel Corporation, a United States based Construction and Real Estate organisation with 55000 employees and revenues of $22.00 billion, AtkinsRealis, a Canada based Construction and Real Estate organisation with 37246 employees and revenues of $8.63 billion, Palantir Technologies, a United States based Professional Services organisation with 4429 employees and revenues of $4.48 billion, GetGo, a United States based Retail organisation with 3500 employees and revenues of $1.48 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle OCI AI Infrastructure, 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 Oracle OCI AI Infrastructure 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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Abjad AI | Education | 25 | $2M | Saudi Arabia | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2026 | n/a |
In 2026, Abjad AI expanded its Oracle OCI AI Infrastructure by provisioning additional GPU capacity inside its existing Oracle Cloud Infrastructure environment to scale Arabic-language generative AI workloads. The AI infrastructure expansion is anchored on increased GPU-backed compute to support larger model training runs and higher concurrency for inference, aligning with the companys product roadmap for new Arabic-language AI solutions.
Abjad AI configured the Oracle OCI AI Infrastructure to prioritize model training throughput and inference scalability, extending core MLOps workflows and compute orchestration typical of AI infrastructure deployments. The implementation targets engineering and product development teams in Saudi Arabia, centralizing GPU capacity to accelerate iterative model development and deployment. Abjad AI expects the additional capacity to improve performance and scalability and help accelerate the development of new products.
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Absci | Professional Services | 160 | $5M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2026 | n/a |
In 2026, Absci expanded its Oracle OCI AI Infrastructure as part of its AI infrastructure to add high performance CPU and GPU capacity supporting complex protein-design models and generative biology workloads on its Origin-1 platform. The expansion targeted compute scaling for model training and inference to enable more parallel AI-driven antibody designs and complex molecular simulations while helping manage infrastructure costs as workloads grow.
The implementation provisioned additional high performance CPU and GPU compute capacity within Oracle Cloud Infrastructure and aligned that capacity with Origin-1 workloads for large-scale model orchestration and parallel simulation runs. The Oracle OCI AI Infrastructure configuration emphasized compute density and scalable data paths to support high throughput model training and inference, while preserving integration points with Abscis experimental pipelines on the Origin-1 platform.
Operationally the expanded environment directly supports Abscis drug discovery, protein engineering, and laboratory testing functions by enabling concurrent design and simulation workloads. Abscis use of Oracle OCI AI Infrastructure centralizes AI compute for research teams, enabling workload orchestration and capacity scaling that aligns with growing generative biology demands.
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AtkinsRealis | Construction and Real Estate | 37246 | $8.6B | Canada | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
In 2024, AtkinsRealis implemented Oracle OCI AI Infrastructure as a foundational component of its OneERP consolidation of Oracle E-Business Suite on OCI. The Oracle OCI AI Infrastructure deployment was positioned to provide scalable, co-located AI compute and model hosting adjacent to the consolidated ERP estate to support analytics and intelligent automation use cases across the organization.
Oracle OCI AI Infrastructure was configured to deliver category core capabilities typical of AI infrastructure, including accelerated model training, inference serving, persistent model repositories, and data orchestration pipelines. The implementation emphasized platform services for secure model lifecycle management, role based access controls, and integration points for enterprise data feeds and analytics workflows aligned with Oracle E-Business Suite data structures.
Operational scope is anchored to the OneERP program and the consolidated Oracle E-Business Suite instances, extending support to finance, project delivery, procurement, and asset management teams across AtkinsRealis global operations. Governance and process standardization were introduced through the OneERP program to centralize provisioning, enforce data governance, and formalize model deployment workflows across business functions.
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Autopoiesis Sciences | Life Sciences | 10 | $1M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2025 | n/a |
In 2025 Autopoiesis Sciences deployed Oracle OCI AI Infrastructure to provide a scalable cloud foundation for its scientific AI model development, addressing explicit scalability and networking requirements. The implementation centers on Oracle OCI AI Infrastructure within the AI infrastructure category, positioned to support advanced reasoning models used by research organizations worldwide.
The technical configuration emphasizes elastic GPU compute provisioning and managed model training pipelines, standard components of AI infrastructure that Autopoiesis used to shorten development cycles and enhance model performance. The environment includes centralized model lifecycle capabilities such as model build orchestration, data persistence for large training sets, and automated job scheduling to stabilize iterative experiments.
Operational coverage extends across Autopoiesis research functions and external research collaborators, with the cloud architecture designed to meet high-throughput networking needs and to provide consistent runtime environments for reproducible experiments. Networking and tenancy configuration were prioritized to segregate research workloads and maintain predictable performance for distributed training and inference workloads.
Governance and rollout emphasized a consolidated development platform and standardized pipeline templates to reduce variability in model training and deployment. The company reported that Oracle OCI AI Infrastructure shortened development cycles, enhanced model performance, and increased system stability for use by research organizations worldwide.
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Baseten | Professional Services | 60 | $6M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2026 | n/a |
In 2026 Baseten deployed Oracle OCI AI Infrastructure to provision GPU-backed compute across Oracle Cloud global data centers, aligning its platform with the company mission of fast, scalable model serving for the AI app layer and model labs. Baseten implemented Oracle OCI AI Infrastructure to support high-throughput, low-latency inferencing for customers with intensive AI workloads, embedding the AI infrastructure directly into its customer-facing inference platform.
The implementation centered on GPU compute instance pools and model-serving endpoints within Oracle OCI AI Infrastructure, configured to host Baseten’s model artifacts and expose production inference APIs. Standard AI infrastructure capabilities were applied, including autoscaling inference endpoints and workload orchestration to manage model lifecycle transitions, enabling consistent model serving across development model labs and production inference paths.
Operational coverage spans Baseten’s platform and SRE teams and extends across Oracle Cloud global data centers to meet regional proximity requirements as customers expanded globally. The deployment impacts core business functions of model hosting, runtime inference, and platform operations, and was structured as a multi-region rollout to colocate GPU capacity with customer demand.
The stated outcome from the deployment is delivery of low-latency inferencing for Baseten customers’ most intensive AI workloads, reinforcing Baseten’s role as an inference provider for the AI app layer while using Oracle OCI AI Infrastructure as the underlying AI infrastructure.
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Construction and Real Estate | 55000 | $22.0B | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2020 | n/a |
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Professional Services | 45 | $5M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 450 | $170M | Canada | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 40 | $5M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 350 | $50M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2026 | n/a |
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Buyer Intent: Companies Evaluating Oracle OCI AI Infrastructure
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle OCI AI Infrastructure. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Oracle OCI AI Infrastructure for AI infrastructure include:
- PricewaterhouseCoopers, a United Kingdom based Professional Services organization with 364782 Employees
- Samsung Electronics, a South Korea based Manufacturing company with 262647 Employees
- Go City, a United Kingdom based Leisure and Hospitality organization with 150 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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PricewaterhouseCoopers | Professional Services | 364782 | $56.9B | United Kingdom | 2026-09-24 |
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Samsung Electronics | Manufacturing | 262647 | $203.5B | South Korea | 2026-06-12 |
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Go City | Leisure and Hospitality | 150 | $23M | United Kingdom | 2026-06-03 |
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Communications | 30 | $3M | France | 2026-06-03 |
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Distribution | 35 | $5M | United States | 2026-06-03 |
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Government | 1000 | $368M | United States | 2025-04-24 |
FAQ - APPS RUN THE WORLD Oracle OCI AI Infrastructure Coverage
Oracle OCI AI Infrastructure is a AI infrastructure solution from Oracle.
Companies worldwide use Oracle OCI AI Infrastructure, from small firms to large enterprises across 21+ industries.
Organizations such as Meta Platforms, Bechtel Corporation, AtkinsRealis, Palantir Technologies and GetGo are recorded users of
Oracle OCI AI Infrastructure for AI infrastructure.
Companies using Oracle OCI AI Infrastructure are most concentrated in Professional Services, Construction and Real Estate and Retail, with adoption spanning over 21 industries.
Companies using Oracle OCI AI Infrastructure are most concentrated in United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle OCI AI Infrastructure across Americas, EMEA, and APAC.
Companies using Oracle OCI AI Infrastructure range from small businesses with 0-100 employees - 46.67%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 10%, and global enterprises with 10,000+ employees - 10%.
Customers of Oracle OCI AI Infrastructure 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 Oracle OCI AI Infrastructure customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI infrastructure.