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Oracle integrates OpenAI tools and expands cloud chip variety

Oracle is deepening its partnership with OpenAI to bring ChatGPT and Codex into its software while offering a wider range of AI hardware to customers.

30-40data center projects in development per quarter

The short version

Why it matters

This move makes it easier for large enterprises to use sophisticated AI tools within the existing software systems they already rely on. It also signals a shift toward a multi-chip hardware strategy to combat the ongoing scarcity of high-end AI processors.

Deepening the OpenAI partnership

Oracle has announced a significant expansion of its collaboration with OpenAI. This partnership brings OpenAI's ChatGPT and Codex tools directly into Oracle's software applications. The goal is to make databases more actionable for companies that need to process and secure data.

By integrating these tools, Oracle aims to simplify the way businesses interact with artificial intelligence. Oracle's president of Cloud Infrastructure, Mahesh Thiagarajan, noted that using ChatGPT allows anyone to build, deploy, and manage an application. This move helps move AI from a standalone experiment into a core part of enterprise workflows.

The partnership also involves physical infrastructure at the data center level. Thiagarajan reported that OpenAI's GPT-6 Astra model was trained at Oracle's Stargate data center campus in Abilene, Texas. This provides Oracle with a front-row seat to the real-time benefits of running frontier models on their hardware.

A diverse hardware lineup

In a move to address the ongoing scarcity of AI chips, Oracle is expanding the variety of hardware available on its cloud infrastructure. Customers can now access Google's tensor processing units (TPUs) and OpenAI's Jalapeño chip. This marks the first time Google's custom chips will run on a competitor's cloud platform.

Oracle is also adding hardware from Cerebras to its cloud offerings. While the specific scale of this deal remains undisclosed due to a quiet period, it follows a similar move by Amazon Web Services. Providing multiple options allows customers to choose the best accelerator for their specific needs while navigating the limited supply of high-end chips.

Despite these new additions, Oracle is not moving away from Nvidia's hardware. Thiagarajan stated that Nvidia chips remain the best and most fungible option in the market. The company's strategy appears to be one of diversification, ensuring that customers have infinite possibilities for driving their AI initiatives.

Enterprise AI and market reach

For OpenAI, this expansion represents a major push into the enterprise market. It follows closely after its competitor, Anthropic, filed for an initial public offering. By partnering with Oracle, OpenAI can reach businesses in sectors like healthcare and finance that rely on Oracle's database systems for logging and security.

Greg Brockman, president and co-founder of OpenAI, highlighted that more businesses are choosing OpenAI because it is easier to put AI to work through existing tools. This strategy focuses on meeting customers where they already are, rather than forcing them to adopt entirely new platforms. It bridges the gap between raw AI power and practical business utility.

The integration is designed to help companies leverage the power of large language models without rebuilding their entire tech stack. By embedding these capabilities into familiar software, Oracle and OpenAI are attempting to lower the barrier to entry for complex AI deployment. This creates a more seamless experience for IT departments and developers alike.

Infrastructure and local pushback

Oracle is currently engaged in a massive build-out of its global infrastructure to support these AI demands. The company is developing between 30 and 40 different data center projects every quarter. One of its most notable projects is the multibillion-dollar Project Jupiter in New Mexico, which has already broken ground.

However, this rapid expansion has met with some local resistance. The community in Sunland Park has pushed back against the project, leading to a scheduled hearing on December 7 to address air quality permitting. The political pushback was significant enough that Oracle recently delivered a force majeure notice to its backer, Blue Owl Capital.

Despite these hurdles, Oracle maintains that the project is on schedule and is a necessary part of its global growth. The company is currently navigating concerns from investors regarding how it will finance this ambitious pipeline. Investors are looking for clarity on revenue targets and margin profiles as the cost of capital continues to rise.

The road to 2030

Oracle's stock has experienced volatility recently, falling more than 30% this year as investors weigh the costs of its infrastructure goals. The company is now looking toward its upcoming investor day to provide updates on its major data center projects. Analysts are specifically looking for clarity on how these projects will impact the company's long-term financial health.

The company's ability to meet its fiscal year 2030 revenue targets will be a primary focus for the market. Oracle must prove that its heavy investment in data centers and AI hardware will translate into sustainable profits. The success of these projects will determine the company's position in the evolving cloud computing landscape.

As the AI market continues to grow, Oracle's strategy of balancing high-end Nvidia chips with diverse alternatives like Google and OpenAI's hardware will be tested. The company's ability to navigate both technical hurdles and local political opposition will be key to its success. The next few months will be critical as the company seeks to solidify its role as a primary host for frontier AI models.

What to watch

Try it

Check if your current database software offers any native integrations with OpenAI's GPT models to see if you can automate data logging or summaries.

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First reported by CNBC · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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