The UAE has received the first shipment of the highly sought-after Nvidia CPUs and GPUs, as it continues to build momentum toward establishing itself as a global artificial intelligence hub.
The news came out on Friday through Yousef Al Otaiba, who is the UAE’s ambassador to the United States at a roundtable talk organized by the Atlantic Council in Washington DC.
According to Al Otaiba, the delivery comes at a time when the UAE’s plans for a fast-growing infrastructure in AI technology is advancing. He noted how this demonstrates the close ties of technology between the UAE and the United States.
“The UAE is all-in on American technology, we are not hedging, we are not diversifying, we are doubling down on it,” he explained in the discussion.
“I am pleased to announce that the first set of sophisticated chips have been shipped, with more on the way.”
Why are the chips important?
The chips, manufactured by Nvidia, are regarded as one of the most important parts that drive modern AI machines.
In particular, advanced GPUs are utilized to teach and deploy big AI models, assist data centers, and facilitate machine learning tasks.
Over the past few years, the UAE has embarked on an aggressive expansion campaign to assert itself as a leader in the world AI competition.
Nevertheless, acquiring Nvidia’s top-of-the-line chips has not been easy.
The U.S. government has introduced increasingly stringent export regulations on premium AI semiconductor devices to preserve its edge and avoid any leakage to rival nations or other organizations.
As a consequence, it has become harder for numerous countries outside the U.S. to procure advanced AI devices.
The UAE ultimately secured approval from the administration of Donald Trump after providing security assurances that the chips would be protected and not diverted to unauthorized users.
According to U.S. officials, those guarantees played an important role in Washington’s decision to allow the shipments to proceed.
UAE emerges as AI giant
Al Otaiba’s comments came during the multi-day AI+ Expo event in Washington organized by the Special Competitive Studies Project, which brought together policymakers, technology executives, and researchers to discuss the future of artificial intelligence.
During the same event, the Atlantic Council issued a new report analyzing the strategic plans of the UAE in the area of artificial intelligence and their growing importance in the global tech scene.
Based on the report, the UAE had invested a decade in developing a strategic model that emphasizes long-term planning, fast-paced organizational decision-making, and heavy investments in cutting-edge technology.
“The country has positioned itself as a global hub for AI investment and a regional gateway linking advanced economies with the Global South,” the report stated.
The Atlantic Council awarded the UAE a score of 17.3 out of 25 in its AI ranking framework, classifying it as an “advanced AI power,” just below the top-tier “frontier AI power” category.
Researchers behind the study argued that the UAE’s progress demonstrates how countries outside traditional technology superpowers can still become influential participants in the AI economy through focused national strategies and aggressive investment.
The Emirates has progressively been establishing its AI ecosystem for more than a decade already through a string of high-profile projects. First, in 2017, the UAE became one of the first nations in the world to establish a government position dedicated to artificial intelligence and appointed the country’s first Minister of Artificial Intelligence, Omar Al Olama.
Second, two years later, in 2019, the Emirates started building the Mohamed bin Zayed University of Artificial Intelligence – a graduate university specializing exclusively in AI-related studies and research.
Further progress towards implementing an effective AI strategy came with Trump’s visit to the country in 2025 when he announced the plans of a 5-gigawatt UAE-U.S. AI campus project.
Thus, the acquisition of Nvidia’s chips comes at this point as another important milestone of moving from planning to building an AI ecosystem.