Generative AI is becoming a core enterprise platform capability. Organizations are building copilots, knowledge assistants, AI-powered search, document intelligence, agentic workflows, and industry-specific applications that depend on enterprise context. As AI moves closer to sensitive business processes, organizations need AI infrastructure that enables AI workloads to run where their data resides while meeting security, governance, and operational requirements. This creates the foundation for Enterprise AI.
OCI Dedicated Cloud Customer-Owned GPU addresses these requirements by bringing Oracle Cloud Infrastructure (OCI) AI services and cloud operations into customer-controlled environments. It enables organizations to build Enterprise AI platforms with the same OCI experience while meeting sovereignty, regulatory, and operational requirements.
As organizations adopt Enterprise AI, some also want the flexibility to own their GPU investments while relying on Oracle to deploy, integrate, operate, and support the AI environment. For these customers, infrastructure ownership becomes an important part of their long-term AI investments.
To address this need, Oracle is introducing OCI Dedicated Cloud Customer-Owned GPU.
With this, customers own the GPU infrastructure while Oracle deploys, integrates, operates, supports, and maintains the AI environment. The result is a sovereign-capable AI platform that combines customer ownership of strategic AI infrastructure with the simplicity, consistency, and operational expertise of Oracle Cloud Infrastructure.
Bringing customer-owned GPUs into OCI Dedicated Cloud
OCI Dedicated Cloud Customer-Owned GPU is designed for organizations building Enterprise AI platforms that require both long-term infrastructure control and the operational simplicity of Oracle Cloud Infrastructure. Customers can own their GPU investments while Oracle deploys, integrates, operates, and manages the AI environment within OCI Dedicated Cloud. This enables organizations to scale AI workloads while maintaining a consistent cloud operating model.
The deployment process is designed to be straightforward:
- Customers procure supported GPUs and prepare the data center environment.
- Oracle provides rack design specifications and required security components.
- Oracle or Third-party manufactures the racks, ships them to the customer’s data center, and installs, networks, and integrates the GPU infrastructure into OCI Dedicated Region.
- Oracle hands over the region for customer use and continues to provide operational support, monitoring, maintenance, and lifecycle management.
Note: Oracle-built is the default and preferred BYOGPU deployment model. Third-party-built infrastructure is supported only for select approved deployments.
A clear responsibility model
OCI Dedicated Cloud Customer-Owned GPU establishes a clear responsibility model that enables organizations to build and scale Enterprise AI platforms with confidence.
Customers retain ownership of their GPU infrastructure and AI environment, including their models, data, and security policies. They also provide the physical data center facilities, including space, power, cooling, access, and site readiness.
Oracle deploys and integrates the GPU infrastructure into OCI Dedicated Cloud and manages the cloud platform, networking, storage, monitoring, software updates, hardware maintenance, support, and lifecycle operations.
This model allows customers to focus on building and scaling AI solutions while Oracle operates the underlying AI infrastructure.
Built for sovereign AI and enterprise-scale workloads
Customers are not bringing GPUs into OCI Dedicated Cloud simply to own hardware. They are building Enterprise AI platforms that require long-term control over infrastructure, governance, and data residency.
OCI Dedicated Cloud Customer-Owned GPU supports use cases such as:
- Enterprise AI platforms supporting copilots, knowledge assistants, AI-powered search, retrieval-augmented generation (RAG), agentic workflows, and shared AI infrastructure for developers, data scientists, and business teams.
- Large-scale AI training and fine-tuning for organizations building proprietary models or adapting foundation models using enterprise data.
- Sovereign AI and data residency workloads that require training data, model weights, and inference outputs to remain within a defined jurisdictional or organizational boundary.
- Industry-specific AI solutions for regulated sectors such as healthcare, financial services, telecommunications, government, and public sector organizations.
By deploying customer-owned GPU infrastructure within OCI Dedicated Cloud, organizations can build, train, fine-tune, and deploy Enterprise AI workloads while maintaining stronger control over data, models, infrastructure, and governance.
Enterprise AI with customer-owned infrastructure
OCI Dedicated Cloud Customer-Owned GPU extends Enterprise AI for OCI Dedicated Cloud by giving customers greater flexibility in how they deploy AI infrastructure. Customers gain access to OCI platform services, networking, storage, security, observability, and AI services while Oracle manages the underlying cloud infrastructure throughout its lifecycle.
The result is an enterprise-ready AI platform that enables organizations to focus on building, deploying, and scaling AI solutions instead of managing complex infrastructure.
OCI Dedicated Cloud Customer-Owned GPU provides a flexible path for organizations building Enterprise AI, sovereign AI, and large-scale generative AI solutions by combining customer ownership of GPU infrastructure with Oracle’s managed cloud operating model.
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Ready to explore how OCI Dedicated Cloud Customer-Owned GPU can help you build secure, sovereign, and enterprise-scale AI platforms?