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Oracle's Stargate Gamble Backfires as OpenAI Chases Newer Nvidia Chips

Oracle faces negative cash flow as OpenAI seeks faster Nvidia chips beyond Blackwell processors.

Oracle Corporation is facing financial pressure linked to its large-scale artificial intelligence data centre investments as rapid advances in AI chip technology reshape infrastructure plans across the industry. The company had positioned itself to benefit from surging demand for computing power by building major data centres designed to support AI workloads. However, the pace at which new AI hardware is being released is reportedly creating challenges for projects that were planned around earlier generations of chips.

According to reports, OpenAI has decided not to expand its collaboration with Oracle at the Stargate data centre located in Abilene. The facility was originally expected to support large-scale AI operations, but OpenAI is now seeking infrastructure that can run newer and more powerful generations of AI processors. The shift reflects the intense competition among AI developers to secure the most advanced computing capabilities available.

The existing Abilene facility is currently expected to use the latest generation of graphics processing units from Nvidia, specifically its Blackwell processors. However, sources suggest the power capacity required for the full deployment of the data centre may not be operational for another year. By that time, OpenAI may already be focusing on clusters built around Nvidia’s next-generation AI chips, potentially reducing the appeal of the earlier infrastructure.

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Nvidia has been rapidly accelerating the release cycle for its AI processors, creating constant upgrades in performance and efficiency. At the company’s annual technology showcase, Nvidia revealed its next architecture known as Vera Rubin, which is expected to deliver significantly higher inference performance compared to the Blackwell generation. The faster innovation cycle means companies building large AI data centres must constantly adapt to hardware changes that can quickly make earlier designs less competitive.

Oracle’s financial strategy has also drawn attention as it continues to invest heavily in AI infrastructure while relying significantly on borrowed funds. Reports indicate the company has accumulated close to $100 billion in debt to finance its data centre expansion, placing it in a different position from technology rivals such as Amazon, Microsoft, and Google, which can leverage large existing cash flows to support similar investments.

Investors are expected to closely watch Oracle’s upcoming quarterly results to assess how the company plans to sustain its ambitious $50 billion capital expenditure programme while managing negative free cash flow. The outcome may determine how aggressively Oracle can continue expanding its AI infrastructure ambitions, particularly as the race to build the most powerful computing environments intensifies across the global technology sector.

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