Today Oracle is announcing that, in collaboration with Google, we are making more of the world’s most advanced and in-demand frontier models available to enterprises everywhere. In the coming weeks, Google Gemini will become available on OCI Generative AI, making Oracle the only hyperscaler aside from Google Cloud Platform to offer the Gemini model as a managed service. This marks a significant step forward in our mission to empower businesses with the best of AI, while prioritizing security, privacy, and choice.
OCI brings enterprise-grade capabilities to Gemini—including ready data access and strong control over data management and security that customers expect—all supported by high-performance AI infrastructure.
Benefits of bringing Google Gemini’s models to OCI
Gemini is a flexible model that, according to Google, can run on everything from mobile devices to data centers. It comes in three sizes:
Gemini Ultra — The largest and most capable Gemini model for highly complex tasks, including but not limited to:
- Code analysis
- Multilingual translation
- Multimodal generation and creation
- Reasoning and information distillation
Gemini Pro — The best Gemini model for scaling across a wide range of tasks including but not limited to:
- Task automation
- Text and code generation
- Long-form content analysis
- Audio processing
Gemini Nano — The most efficient Gemini model for on-device tasks for smartphones, wearables, and more. Use cases include but are not limited to:
- Text rephrasing and smart reply
- Speech transcription
- Proofreading
- Text summarization
Oracle’s AI Strategy: Three Key Goals
At Oracle, we have always remained laser-focused on three key goals, which we believe are integral to enterprises achieving success with AI:
- The best of the best AI models: We are committed to providing our customers with the world’s best generative AI models, engineered for enterprise use cases. Our collaboration with Google is yet another testament to this commitment.
- Better together with apps and database: We believe that AI is most effective when integrated with enterprise data and applications. Our data management portfolio offers significant advantages for AI, allowing customers to bring AI to their data, not the other way around.
- Security and privacy—always prioritized: We understand that security and privacy are becoming increasingly important in the age of AI. We remain committed to giving customers strong control over their data privacy, security, and governance.
To deliver on these goals, Oracle continues to offer enterprise AI with choice and flexibility. For example, we support the best of open source through collaborations with Meta and HuggingFace, and we also provide models from leading model providers like Cohere that support a variety of business use cases centered on text generation, summarization, and semantic similarity tasks.
We provide a data management portfolio with significant advantages for AI. Our Oracle Database 23ai stores the semantic content of structured and unstructured data as vectors, allowing enterprises to use it with the AI models of their choice. It’s also available as an integrated data source for OCI AI Agent Platform.
Oracle enables AI sovereignty with increased control over where customers run their AI workloads and how they can manage data and operate infrastructure. This means that customers can build the AI projects they want, while still maintaining control over their technologies, data, and internal and external regulations.
Conclusion
Oracle is innovating in the AI space, providing our customers with the very best models in the world for their enterprise use cases. Our collaboration with Google is a testament to our commitment to delivering the best of AI to our customers, while prioritizing security, privacy, and choice. We are excited to see the impact that these models will have on businesses and industries around the world, and we look forward to continuing to innovate and push the boundaries of what is possible with AI.