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Oracle to Purchase $40 Billion Worth of Nvidia Chips for OpenAI’s US Data Center

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Oracle is set to invest approximately $40 billion in purchasing Nvidia’s high-performance chips to support OpenAI’s new data center in the United States, according to a report by the Financial Times. This significant investment highlights the growing collaboration between cloud service providers and AI companies as they race to build advanced infrastructure to power next-generation artificial intelligence applications.

The new data center will be located in Abilene, Texas, and forms a critical part of the U.S. Stargate Project, a government-backed initiative involving leading AI companies aimed at strengthening America’s position in the global AI race. This project reflects the increasing emphasis on domestic AI capabilities amid intensifying competition with other countries developing their own AI technologies.

Oracle plans to acquire roughly 400,000 of Nvidia’s most advanced GB200 chips, which will be leased to OpenAI to provide the massive computing power required for AI workloads. While Oracle and OpenAI have not publicly commented on the deal, sources familiar with the arrangement confirmed the details to the Financial Times. Nvidia also declined to comment on the specifics.

The data center is expected to become fully operational by mid-2026, with Oracle securing a 15-year lease on the site. Financing for the project is backed primarily by JPMorgan, which has extended two loans totaling $9.6 billion, while the facility’s owners, Crusoe and Blue Owl Capital, have contributed approximately $5 billion in cash. This large-scale investment underscores the commitment of both private and public sectors to accelerate AI development on U.S. soil.

UAE’s ‘Stargate’ AI Megaproject to Launch in 2026 with 100,000 Nvidia Chips

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A landmark AI infrastructure project in Abu Dhabi, dubbed Stargate UAE, is set to begin operations in 2026, becoming one of the largest and most advanced artificial intelligence data centers outside the United States. The project will be powered by an estimated 100,000 Nvidia chips, marking a significant step in the UAE’s ambition to become a global AI superhub.

The 1-gigawatt first phase is part of a broader 5-gigawatt, 10-square-mile site and represents the first outcome of a U.S.-brokered deal led by President Donald Trump. The partnership involves a collaboration between UAE’s state-backed G42, and major U.S. and Japanese tech firms: OpenAI, Oracle, Nvidia, Cisco Systems, and SoftBank.

Key Highlights:

  • Launch Timeline:

    • First phase (200MW) to be operational by 2026

  • Hardware:

    • Uses Nvidia Grace Blackwell GB300 systems, Nvidia’s most powerful AI chips

    • TrendForce estimates point to 1,400 servers, each with 72 chips, totalling ~100,000 chips

  • Scale:

    • Part of a 5-gigawatt megaproject to house the largest AI infrastructure outside the U.S.

    • Located on a 26 sq-km site in Abu Dhabi

  • Purpose:

    • Will allow UAE government bodies and businesses to access cutting-edge generative AI models

    • Positioned as a “first-in-the-world platform”, according to Oracle’s Larry Ellison

U.S. Policy Reversal

The announcement follows a significant policy shift by the Trump administration, which reversed Biden-era restrictions on exporting advanced AI chips to the UAE due to concerns over the country’s ties to China.

The U.S. Commerce Department will oversee a bilateral working group with the UAE to ensure compliance with:

  • National security standards

  • Ethical AI deployment

  • Global oversight of AI infrastructure

Strategic Implications

  • Geopolitical Impact:

    • The project cements UAE’s growing alignment with U.S. tech interests, even amid global tensions over AI dominance

    • Could challenge China’s AI influence in the Middle East and Africa

  • Commercial Influence:

    • Strengthens partnerships between OpenAI, Nvidia, and Oracle, anchoring them in the Gulf region

    • Offers a new AI deployment and monetization model based on national infrastructure rather than global cloud platforms

  • Regional AI Race:

    • The Stargate initiative follows Saudi Arabia’s recent moves to create its own multimodal Arabic LLMs

    • Marks a regional AI arms race underpinned by state-backed funding and global tech partnerships

Nvidia CEO Jensen Huang Backs Trump’s Plan to Ease AI Chip Export Curbs

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Nvidia CEO Jensen Huang has strongly criticized U.S. export restrictions on AI chips to China, calling them a “failure” that cost American firms billions in lost sales while accelerating China’s self-reliance in semiconductor development. Speaking at the Computex conference in Taipei, Huang welcomed the Trump administration’s decision to reverse some of the Biden-era controls, signaling a shift that could reshape global tech policy.

“The fundamental assumptions that led to the AI diffusion rule have been proven to be fundamentally flawed,” Huang said, referring to the Biden administration’s three-tiered export control regime, which entirely blocked sales of advanced chips to China.

Impact on Nvidia and U.S. Industry

Since the Biden administration’s controls came into effect, Nvidia’s market share in China fell from 95% to 50%, Huang revealed. Nvidia has been hit particularly hard, taking a $5.5 billion charge in April related to its blocked H20 chip, and Huang now estimates total revenue loss at $15 billion.

Despite these setbacks, Huang noted that AI research in China has continued unabated and is now being powered by local technologies, particularly chips from Huawei and other Chinese semiconductor designers. He estimated that China’s AI market will be worth $50 billion in 2025 and called the competition there “intense”.

“They would love for us never to go back to China,” he said.

Trump’s Strategy: A Shift in Direction

Huang praised the Trump administration’s plan to move away from rigid export tiers and toward a global licensing regime based on government-to-government agreements. The proposed shift could provide the U.S. more flexibility and leverage in trade negotiations while also easing pressure on U.S. tech firms.

“President Trump realises it’s exactly the wrong goal,” Huang said, arguing that isolating China from U.S. tech would not stop AI innovation and only encourage the growth of competitive alternatives.

Nvidia’s Workaround

Nvidia is now developing a new version of its Blackwell AI chip that includes slower memory, allowing it to comply with current U.S. restrictions while still serving key markets.

Rising Tensions

China responded sharply to recent U.S. moves that warned firms against using Chinese-made AI chips like Huawei’s Ascend, urging the U.S. to “immediately correct its wrongdoings.” Beijing warned that such measures violate trade agreements and undermine cooperation, threatening “resolute” countermeasures.

Industry Outlook

While the Biden administration had aimed to contain China’s semiconductor and military advancements, the unintended consequence appears to be a rapid buildup of China’s domestic AI and chipmaking capabilities. Huang’s remarks underscore the growing frustration within U.S. tech circles over policies they say are self-damaging.

Meanwhile, Nvidia continues to dominate the global AI infrastructure market, with new product announcements at Computex expected to further boost its $130.5 billion revenue base.