Key takeaways
- Oracle integrates OpenAI GPT-5 across its database and SaaS applications for enhanced AI capabilities.
- Utilize GPT-5 for advanced coding, reasoning, and process automation in enterprise workflows.
- Access GPT-5 through API and ChatGPT Enterprise in three different model sizes.
- Leverage Oracle's tools for improved data search, analysis, and AI-powered operations.
- Expect increased productivity and faster decision-making with GPT-5's advanced automation features.
Oracle on August 18 announced that it has deployed OpenAI GPT-5 across its database portfolio and suite of SaaS applications, including Oracle Fusion Cloud Applications, Oracle NetSuite, and Oracle Industry Applications such as Oracle Health. The move allows customers to integrate business data with AI capabilities for coding, reasoning, and process automation.
“Oracle AI Vector and Select AI together with GPT-5 enable easier and more effective data search and analysis,” said Kris Rice, senior vice president, Database Software Development, Oracle. “Oracle’s SQLcl MCP Server enables GPT-5 to easily access data in Oracle Database. These capabilities enable users to search across all their data, run secure AI-powered operations, and use generative AI directly from SQL—helping to unlock the full potential of AI on enterprise data.”
GPT-5 is available in three sizes through the API and in ChatGPT Enterprise. The model is built to assist with code generation, editing, debugging, multi-step reasoning, and agent-driven automation across enterprise workflows.
“GPT-5 will bring our Fusion Applications customers OpenAI’s sophisticated reasoning and deep-thinking capabilities,” said Meeten Bhavsar, senior vice president, Applications Development, Oracle. “The newest model from OpenAI will be able to power more complex AI agent-driven processes with capabilities that enable advanced automation, higher productivity, and faster decision making.”
Oracle said the integration of GPT-5 with Oracle Database 23ai, Fusion Applications, and other tools is intended to help enterprises improve business insights, accelerate coding tasks, and orchestrate processes more efficiently. The company emphasises security, scalability, and adaptability in its deployment.
OpenAI and Oracle have a major partnership centred around the Stargate project, a $500 billion AI infrastructure initiative to build large-scale data centers across the U.S. Oracle is supplying OpenAI with immense data center capacity, including a recent deal to provide 4.5 gigawatts of power capacity, supporting millions of AI chips. This partnership makes Oracle a primary cloud infrastructure provider for OpenAI, expanding beyond Microsoft Azure to meet OpenAI’s growing AI compute needs.
Oracle recently expanded its partnership with Google Cloud to give Oracle customers access to Google’s advanced AI models, starting with Gemini 2.5, through the Oracle Cloud Infrastructure (OCI) Generative AI service. The models can be used to build AI agents for tasks including multimodal understanding, coding and software development, workflow automation, and research and knowledge retrieval.
Oracle plans to make Google’s full range of Gemini models available through OCI Generative AI service via new integrations with Vertex AI. This will include models for video, image, speech, and music generation, as well as specialised industry models such as MedLM.
In the future, Oracle will work with Google Cloud to offer Gemini models through Vertex AI as an option within Oracle Fusion Cloud Applications. This will allow customers to enhance workflows in areas including finance, HR, supply chain, sales, service, and marketing.
