List of Oracle Cloud Infrastructure Compute Customers
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Since 2010, our global team of researchers has been studying Oracle Cloud Infrastructure Compute 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 Cloud Infrastructure Compute for Application Hosting and Computing Services 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 Cloud Infrastructure Compute for Application Hosting and Computing Services include: Cosmote Telekom, a Greece based Communications organisation with 11000 employees and revenues of $3.80 billion, Indian Farmers Fertilizer Cooperative, a India based Manufacturing organisation with 4800 employees and revenues of $3.70 billion, Dubai Islamic Bank, a United Arab Emirates based Banking and Financial Services organisation with 10000 employees and revenues of $3.34 billion, Faire, a United States based Retail organisation with 400 employees and revenues of $100.0 million, Cerebriu, a Denmark based Professional Services organisation with 65 employees and revenues of $7.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Cloud Infrastructure Compute, 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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Cerebriu | Professional Services | 65 | $7M | Denmark | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2024 | n/a |
In 2024, Cerebriu deployed Oracle Cloud Infrastructure Compute to support Application Hosting and Computing Services for its life sciences AI workloads, focusing on clinical AI and radiology model development. Cerebriu implemented Oracle Cloud Infrastructure Compute to develop, train, and deploy its patented AI models as part of its product engineering and data science functions.
The implementation emphasizes high-performance GPU compute and expanded memory footprints to accelerate model training and inference, leveraging Oracle Cloud Infrastructure Compute alongside OCI AI infrastructure capabilities. Configuration work centered on provisioning GPU-accelerated instances, containerized model training pipelines, and orchestration for iterative experiments and production model rollout.
Operational coverage is concentrated on Cerebriu's R&D and data science teams in Denmark, with the platform used to train life sciences models and to operationalize generative AI solutions for radiology. The deployment integrates Oracle Cloud Infrastructure Compute with OCI AI infrastructure to support end-to-end model lifecycle activities, including training, validation, and deployment into clinical workflows.
Governance and workflow changes included formalizing model training pipelines and infrastructure provisioning processes to align engineering and clinical data teams with cloud resource consumption. Cerebriu reports that training on Oracle Cloud Infrastructure Compute and OCI AI infrastructure delivers performance and economic benefits, stating training is 3X faster than AWS and Azure and that for the same price they obtain more GPU compute and memory.
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Cosmote Telekom | Communications | 11000 | $3.8B | Greece | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2026 | n/a |
In 2026 Cosmote Telekom implemented Oracle Cloud Infrastructure Compute using Oracle Compute Cloud@Customer to host its critical systems. The deployment is defined within Application Hosting and Computing Services and supports Cosmote's long term innovation agenda for its consumer and enterprise services in Greece.
The implementation provisions Oracle Cloud Infrastructure Compute capacity under a consumption model to expand workload capacity and simplify day to day operations. Functional configuration emphasizes scalable compute instances, automated capacity scaling workflows, and a consolidated platform stack to enable advanced AI and data driven workloads.
The platform is scoped to run critical production workloads across Cosmote Telekom's consumer and enterprise portfolios, providing a secure high performance foundation for analytics and AI initiatives. Operational coverage centers on core systems that drive customer services and network related capabilities within the company footprint in Greece.
Governance was structured around centralized platform operations and security controls aligned to Oracle Cloud Infrastructure consumption governance, enabling unified operational procedures and simplified cloud administration. Rollout is organized to transition critical workloads onto the Cloud@Customer compute estate while maintaining operational continuity.
The stated outcomes include increased workload capacity, improved cost efficiency through Oracle Cloud Infrastructure's consumption model, and the establishment of a secure high performance platform that enables advanced AI and data driven capabilities while simplifying operations.
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Dubai Islamic Bank | Banking and Financial Services | 10000 | $3.3B | United Arab Emirates | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2025 | n/a |
In 2025, Dubai Islamic Bank P.J.S.C. implemented Oracle Cloud Infrastructure Compute within its Application Hosting and Computing Services estate. The bank, already running Oracle Exadata Cloud@Customer, upgraded key integration systems to OCI Compute to support higher throughput and broader workload consolidation.
The Oracle Cloud Infrastructure Compute deployment used standard compute provisioning for virtual machine and bare metal workloads, capacity scaling and orchestration to support integration layer processing and AI workloads. Oracle Cloud Infrastructure Compute was configured to host both containerized and traditional application workloads, enabling centralized instance management, automated provisioning, and networked compute resources aligned with enterprise application hosting practices.
The implementation integrated Oracle Cloud Infrastructure Compute with Oracle Exadata Cloud@Customer and the bank's integration systems, and it was used to introduce AI based services such as Oracle Digital Assistant. OCI Compute served as the primary compute fabric for upgraded middleware and integration components that mediate between backend data platforms and customer facing services.
Governance focused on standardizing instance templates and orchestration for consistent provisioning and operational control of compute resources. According to vendor reporting, Dubai Islamic Bank improved performance, scalability, and cost efficiency while bringing Oracle Cloud Infrastructure Compute and Oracle Digital Assistant into production.
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Faire | Retail | 400 | $100M | United States | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2026 | n/a |
In 2026, Faire expanded its Oracle Cloud Infrastructure Compute GPU footprint to support the AI models that drive its product rankings and recommendations. Faire uses Oracle Cloud Infrastructure Compute in the Application Hosting and Computing Services category to run batch inference pipelines that underpin relevance and recommendation tooling across its wholesale marketplace.
The implementation centers on GPU-accelerated compute capacity and batch inference orchestration, with Oracle Cloud Infrastructure Compute provisioned to run containerized inference workloads and scheduled batch jobs for model scoring. Configuration emphasis is on large GPU instance pools and automated job scheduling, enabling throughput for periodic model scoring runs while retaining steady-state capacity for online model endpoints.
Operational coverage includes the product ranking and recommendations business functions that affect merchandising and buyer discovery across Faire's platform. Governance and operationalization tied compute provisioning to existing data pipelines and model deployment workflows, with monitoring and job orchestration layered to manage batch inference cadence and model refresh cycles. Oracle Cloud Infrastructure Compute is therefore positioned as the core Application Hosting and Computing Services resource supporting Faire's AI-driven relevance systems.
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Fireworks AI | Professional Services | 40 | $4M | United States | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2024 | n/a |
In 2024, Fireworks AI implemented Oracle Cloud Infrastructure Compute as a cornerstone of its Application Hosting and Computing Services strategy to support customer-facing AI model training and inference. The engagement centers on using Oracle Cloud Infrastructure Compute alongside OCI AI Infrastructure and OCI Container Engine for Kubernetes OKE to host, train, and manage increasingly complex models for Fireworks AI customers.
The deployment architecture leverages OCI Compute for provisioned instance capacity, OCI AI Infrastructure for GPU accelerated training, and OKE for container orchestration and lifecycle management of model workloads. Fireworks AI configured Kubernetes-based orchestration to run inference and fine-tuning pipelines, aligning compute sizing and scheduling with model training jobs and serving endpoints.
Integrations focus on embedding Oracle infrastructure into Fireworks AI's platform to deliver inference and fine-tuning capabilities directly to its customers, supporting the companys product engineering and customer-facing application teams. The implementation emphasizes high-performance networking, with OCI AI Infrastructure RDMA networking cited for microsecond latency that preserves model throughput during both training and inference.
Operational governance shifted to a vendor-backed support model, with Fireworks AI relying on Oracle support for capacity planning and incident response, reflecting a collaborative vendor relationship. Fireworks AI leaders highlighted Oracle responsiveness and proactive support as key parts of operational governance, with Lin Qiao, Cofounder and CEO, stating the combination of AI infrastructure, high-speed networking, and proactive support was central to the partnership.
As described by the company, the Oracle Cloud Infrastructure Compute based implementation enables Fireworks AI to maintain high performance as model complexity and customer demand grow, accelerating its ability to deliver and manage production AI applications. Oracle Cloud Infrastructure Compute serves as the compute foundation within the broader Application Hosting and Computing Services footprint that underpins Fireworks AI's training and inference operations.
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Manufacturing | 4800 | $3.7B | India | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2022 | n/a |
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Professional Services | 19 | $3M | Brazil | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2023 | n/a |
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Professional Services | 10 | $1M | United States | Oracle | Oracle Cloud Infrastructure Compute | Application Hosting and Computing Services | 2022 | n/a |
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