Oracle Partners with Google Cloud to Power Enterprise AI with Gemini

Google’s Gemini artificial intelligence models are no longer confined to Google Cloud. Oracle and Google Cloud have expanded their partnership. Gemini models are now available inside Oracle Cloud Infrastructure (OCI).

This marks a big shift for enterprise AI. Businesses can now access advanced language and multimodal models directly in the Oracle environments they already use.

Why This Matters for Enterprises

Until now, companies often had to choose between clouds or connect through complex external APIs to use advanced AI. With Gemini integrated into OCI’s Generative AI service, that barrier starts to break down.

Oracle customers can now:

• Build AI agents powered by Gemini for business process automation, data enrichment, and workflow integration.

• Embed Gemini into finance, HR, and supply chain applications without moving data off Oracle’s infrastructure.

• Use Oracle Universal Credits to pay for Gemini, simplifying procurement and reducing operational friction.

The collaboration offers not just convenience but strategic flexibility. Multicloud adoption has been a buzzword for years, but seamless execution has often lagged. This partnership makes it easier for enterprises to bring AI into day-to-day operations without heavy lift or risk.

Read More: OpenAI Will Pay Oracle $30 Billion Yearly for Data Center Services

What Gemini Brings to the Table

The rollout begins with Gemini 2.5, the latest large language model from Google. More models will follow, including multimodal systems for images, video, audio, and specialized industry needs such as healthcare-focused MedLM.

Key strengths of Gemini include:

• Grounded responses that can leverage Google Search for up-to-date information.

• Large context windows for more accurate reasoning across complex tasks.

• Enterprise-grade security, with strong encryption and data privacy standards.

• Multimodal capabilities allow companies to combine text, visuals, and data for richer insights.

For Oracle’s enterprise customers, that means not just smarter chat interfaces but AI that can analyze transaction records, review contracts, or even connect financial histories with compliance documentation.

The Technical Edge for Oracle Users

On the infrastructure side, OCI is built to handle demanding AI workloads at scale. With bare-metal GPU instances and cost-effective AI tooling, enterprises can run applications in natural language processing, computer vision, and recommendation systems faster and cheaper.

Adding Gemini on top of this foundation allows:

• Developers to create powerful coding assistants.

• Analysts can query financial data directly within Oracle databases.

• Businesses to automate routine processes while keeping data in a secure, Oracle-controlled environment.

The real shift is that Gemini-powered features will now be embedded into Oracle Fusion Cloud Applications. That includes HR, finance, supply chain, and beyond—turning core enterprise tools into AI-enhanced systems.

Read More: Google’s Latest Gemini Model Lets Robots Think for Themselves

Voices from the Partnership

Google Cloud CEO Thomas Kurian highlighted the impact:

“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.”

Oracle Cloud Infrastructure President Clay Magouyrk reinforced the enterprise-first focus:

“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.”

The Bigger Picture: AI Choice in the Enterprise

Oracle has long positioned itself as a provider of model choice, curating open and proprietary AI for different enterprise needs. By bringing Gemini to OCI, it strengthens that narrative while answering a key question for business leaders: how do we get cutting-edge AI close to our data, securely and at scale?

For enterprises, the move could reshape AI adoption patterns. Instead of siloed innovation, AI will increasingly flow across cloud boundaries, embedded into the workflows and applications companies already rely on.

The race is no longer just about having the best AI model—it’s about putting it where businesses can use it.