Oracle and Google Cloud have recently expanded their partnership, bringing Google's advanced Gemini AI models to Oracle Cloud Infrastructure (OCI). This collaboration allows Oracle customers to access Gemini models, starting with Gemini 2.5, through the OCI Generative AI service. This integration provides Oracle's enterprise clients with a wider array of AI tools and capabilities, directly within their existing cloud environments.

What the Partnership Entails

The core of this partnership lies in offering Google's Gemini models via Oracle's cloud services. Oracle plans to integrate the complete range of Gemini models into the OCI Generative AI service using Vertex AI, including models specializing in video, image, speech, music generation, and industry-specific applications like MedLM. In the future, the collaboration aims to make Gemini models available within Oracle Fusion Cloud Applications, offering customers more choices to enhance workflows across finance, HR, supply chain, sales, service, and marketing. Oracle customers can leverage their existing Oracle Universal Credits to start using the Gemini models.

Benefits for Oracle Customers

This partnership offers several key advantages for Oracle customers:

• Access to Cutting-Edge AI: Oracle customers can now utilize Gemini models to build AI agents for multimodal understanding, advanced coding, software development, productivity and workflow automation, and research and knowledge retrieval.
• Model Choice: Oracle is intentionally offering a curated selection of AI models for enterprise use, including both open and proprietary models. The availability of Gemini on OCI highlights Oracle's focus on delivering powerful, secure, and cost-effective AI solutions.
• Seamless Integration: The integration with Vertex AI allows developers using Oracle's cloud to access Google's models. These models will run on Google's servers but can be accessed through Vertex AI, which Oracle will integrate into its offerings. Oracle customers can pay for Google AI technologies using their existing Oracle cloud credits.
• Enhanced AI Capabilities: By combining Oracle's enterprise data management strengths with Google's large language model capabilities, customers can develop and deploy AI-powered applications more quickly.

Google's Perspective

For Google, this partnership expands the reach of its cloud offerings and helps attract corporate customers. By offering Gemini models through Oracle Cloud, Google gains another channel to compete with rivals like Microsoft in the enterprise sector. Google Cloud CEO Thomas Kurian noted that leading enterprises are already using Gemini to power AI agents across various use cases and industries. He added that Oracle customers can now access these models from within their Oracle environments, making it easier to deploy AI agents that support developers and streamline data integration tasks. Google's Gemini models are well-suited for enterprise use due to their ability to provide responses grounded in up-to-date Google Search data, large context windows, strong encryption, and data privacy policies.

Use Cases and Applications

The integration of Gemini models into Oracle Cloud opens up numerous potential applications:

• Financial Analytics: Generating natural-language insights from financial data.
• Supply Chain Management: Automating forecasting and optimizing supply chain operations.
• HR Assistants: Developing conversational HR assistants to streamline employee interactions.
• AI Agents: Building AI agents for multimodal understanding, coding, software development, and workflow automation.

Broader Implications

This partnership underscores the increasing demand for generative AI in enterprise environments, where organizations seek to leverage multicloud deployments to access best-of-breed capabilities from different providers. Oracle's strategy of offering a "menu" of AI options aligns with this trend, allowing customers to choose the models that best fit their specific needs. The collaboration also highlights the growing importance of AI in cloud computing, as providers race to integrate advanced AI capabilities into their platforms.

Gemini AI Models

Google's Gemini models are designed to be multimodal, capable of understanding and combining different types of information, including text, code, audio, image, and video. Gemini 1.0 is optimized for three different sizes:

• Gemini Ultra: The largest and most capable model for highly complex tasks.
• Gemini Pro: A model for scaling across a wide range of tasks.
• Gemini Nano: An efficient model for on-device tasks.

OCI AI Services

Oracle Cloud Infrastructure (OCI) offers a range of AI services, including generative AI, with prebuilt machine learning models. These services are designed to make it easier for developers to apply AI to applications and business operations. OCI provides a comprehensive environment for AI development, from data ingestion to model deployment.