Oracle Partners with Google to Bring Gemini AI Models to Customers

Oracle and Google Cloud have deepened their strategic partnership by integrating Google’s latest artificial intelligence advancements into the Oracle Cloud Infrastructure (OCI) Generative AI service. This expansion begins with the inclusion of Gemini 2.5, enabling Oracle customers to deploy highly capable AI agents across a broad spectrum of business needs, from multimodal data interpretation to sophisticated software development, productivity enhancement, process automation, and advanced research-driven knowledge retrieval.

Broadening AI Model Access Through Vertex AI Integration

The roadmap for this collaboration extends beyond the initial launch. Oracle intends to make Google’s full Gemini model suite available through OCI, enabled by tighter integrations with Vertex AI. These offerings will include cutting-edge AI capabilities for video, image, speech, and music generation, as well as specialized domain models such as MedLM for healthcare. Looking ahead, the partnership will also integrate Gemini capabilities directly into Oracle Fusion Cloud Applications, empowering finance, HR, supply chain, sales, service, and marketing teams to enhance operational efficiency. Importantly, Oracle customers can leverage these AI services using their existing Oracle Universal Credits, ensuring a seamless adoption path.

"Today, leading enterprises are using Gemini to power AI agents across a range of use cases and industries," said Thomas Kurian, CEO, Google Cloud. "Now, Oracle customers can access our leading models from within their Oracle environments, making it even easier for them to begin deploying powerful AI agents that can support developers, streamline data integration tasks, and much more."

Harnessing the Power of Gemini Models for Enterprise Innovation

Google’s Gemini models are engineered for demanding enterprise scenarios, delivering precise outputs grounded in live Google Search data. Their large context windows enable deeper comprehension, while advanced encryption and rigorous data privacy safeguards align with stringent corporate governance requirements. These models also demonstrate exceptional reasoning abilities, making them particularly effective for high-stakes decision-making environments.

Oracle’s Commitment to Secure, Scalable AI Deployment

Oracle’s infrastructure approach places advanced AI capabilities close to enterprise data sources, ensuring optimal performance, adaptability, and stringent security. This strategic positioning enables businesses to match generative and agentic AI solutions to the most relevant operational challenges, producing measurable outcomes quickly. The platform’s scalability allows for consistent performance whether the deployment is experimental or mission-critical.

"Oracle has been intentional in offering model choice curated for the enterprise, spanning open and proprietary models," said Clay Magouyrk, President, Oracle Cloud Infrastructure. "The availability of Gemini on OCI Generative AI service highlights our focus on delivering powerful, secure, and cost-effective AI solutions that help customers drive innovation and achieve their business goals."

High-Performance AI Infrastructure for Demanding Workloads

Beyond AI model access, OCI delivers the computational foundation required for next-generation AI workloads. Thousands of AI innovators already utilize OCI’s specialized, cost-effective architecture to execute complex generative AI, natural language processing, computer vision, and recommendation system tasks. Its bare metal GPU instances offer the raw performance necessary to train and deploy the most demanding AI models at speed, ensuring that enterprises remain competitive in an increasingly AI-driven market landscape.