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UAE Launches Falcon Arabic AI Model as Gulf States Intensify Tech Race

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The United Arab Emirates (UAE) has unveiled Falcon Arabic, a new artificial intelligence (AI) model designed to process and understand the full linguistic diversity of the Arabic language. The announcement marks a strategic step in the Gulf region’s rapidly intensifying pursuit of AI dominance.

Developed by Abu Dhabi’s Advanced Technology Research Council (ATRC), Falcon Arabic is trained on a native Arabic dataset, rather than relying on translated content — a key distinction that positions it as a culturally and linguistically authentic tool for the Arab world.

“Today, AI leadership is not about scale for the sake of scale. It is about making powerful tools useful, usable, and universal,” said Faisal Al Bannai, Secretary General of ATRC.

The model is said to match the performance of others up to ten times its size, making it not only efficient but also more accessible in terms of computing power and deployment.

A Regional Arms Race in AI

The launch comes as Gulf states, particularly the UAE and Saudi Arabia, compete to establish themselves as AI powerhouses. Both countries are investing heavily in research, infrastructure, and partnerships to capitalize on the transformative potential of AI.

The UAE’s advantage lies in its strong ties with the United States. During a recent visit, former U.S. President Donald Trump highlighted a new AI agreement with the UAE that would facilitate its access to advanced AI semiconductors — a critical factor in developing high-performance AI systems.

Alongside Falcon Arabic, the UAE also introduced Falcon H1, a model designed to reduce the high computational and technical barriers typically associated with running large AI systems. ATRC claims it outperforms competitors like Meta and Alibaba, both in power consumption and required expertise.

Saudi Arabia’s Parallel Push

Meanwhile, Saudi Arabia is developing its own Arabic-language AI initiatives. Earlier this month, the kingdom launched a new state-backed company tasked with creating and managing AI infrastructure. It plans to release one of the world’s most powerful multimodal Arabic language models, signaling its ambition to lead in AI not just regionally, but globally.

AI was a dominant theme during Trump’s recent visit to Riyadh as well, reinforcing the strategic priority both countries now place on technology and digital sovereignty.

With the Gulf nations now prioritizing linguistic, cultural, and technological self-sufficiency, Falcon Arabic represents more than a software release — it is part of a larger geopolitical and digital transformation strategy playing out across the region.

Crusoe Secures $11.6 Billion to Expand Texas AI Data Center, Supporting OpenAI Infrastructure

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AI infrastructure startup Crusoe has raised an additional $11.6 billion to significantly expand its upcoming data center in Abilene, Texas, marking one of the largest funding rounds in the emerging “neocloud” space. The new capital brings the total raised for the project to $15 billion and will allow Crusoe to expand the facility from two to eight buildings, the company confirmed on Wednesday.

Founded in 2018 as a crypto-focused firm, Crusoe has since pivoted to become a specialized cloud provider for AI workloads, part of a new wave of “neoclouds” that offer tailored infrastructure beyond the traditional giants like AWS, Azure, and Google Cloud.

Crusoe has been contracted by Oracle to construct the first data center for Stargate — a major AI infrastructure initiative backed by OpenAI, SoftBank, and Oracle, with a planned $500 billion investment in global AI infrastructure. According to The Wall Street Journal, the Abilene facility is set to become OpenAI’s largest data center.

“Our customer is Oracle. OpenAI is Oracle’s customer,” Crusoe clarified in a statement, emphasizing its indirect yet vital role in supporting the ChatGPT creator’s infrastructure needs.

The project is seen as part of OpenAI’s long-term goal to reduce reliance on Microsoft, its current primary cloud provider.

Key Details:

  • Location: Abilene, Texas

  • Total Buildings: 8 (up from 2)

  • AI Chips: Each building will house up to 50,000 Nvidia Blackwell systems

  • Sponsors: Crusoe, Blue Owl’s Real Assets platform, and Primary Digital Infrastructure

The facility will support intensive generative AI workloads, crucial for OpenAI’s future model development and deployment.

The explosive growth in demand for AI compute capacity has fueled an investment boom in data centers powered by specialized chips like Nvidia’s Blackwell series — a market Crusoe is aggressively entering.

Neither OpenAI nor Nvidia responded to requests for comment at the time of publication.

UAE to Build World’s Largest AI Campus Outside U.S. Under Landmark Trump-Era Deal

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The United Arab Emirates (UAE) and the United States have signed a historic technology agreement to construct the largest artificial intelligence campus outside the U.S., signaling a major policy shift that clears the way for the UAE to access advanced U.S. AI chips, particularly from Nvidia.

Finalized during President Donald Trump’s visit to Abu Dhabi, the deal marks a significant easing of restrictions that previously barred such transfers over U.S. concerns about China’s access to critical technologies.

Key Components of the Agreement:

  • The AI campus, covering 10 square miles (25.9 km²), will be located in Abu Dhabi and have 5 gigawatts of power, enough to support 2.5 million Nvidia B200 chips, per estimates by Rand Corporation analyst Lennart Heim.

  • The facility will be developed by G42, a UAE state-backed firm, but operated and managed by American companies, ensuring compliance with U.S. security protocols.

  • The UAE has committed to build or finance data centers in the U.S. that are at least as powerful as those in the UAE, reinforcing reciprocal investment and security alignment.

Chip Access and U.S. Industry Involvement:

  • Sources say the UAE could be permitted to import up to 500,000 of Nvidia’s most advanced chips annually beginning in 2025.

  • The agreement includes support from U.S. tech giants:

    • Amazon Web Services will collaborate on cybersecurity and cloud adoption.

    • Qualcomm will help establish an AI engineering center in the region.

“American companies will operate the data centers and offer American-managed cloud services throughout the region,” said U.S. Secretary of Commerce Howard Lutnick.

Strategic Implications:

The deal represents a recalibration of UAE tech policy, allowing it to:

  • Deepen ties with the U.S. on strategic technologies like compute infrastructure and cloud services

  • Maintain economic ties with China, while minimizing reliance on Chinese hardware in critical infrastructure

“It doesn’t mean abandoning China,” said Mohammed Soliman of the Middle East Institute, “but recalibrating tech strategy to align with U.S. standards where it matters most.”

Geopolitical Context:

  • Under Biden, export controls were imposed to prevent chip diversion to China, limiting UAE access.

  • The Trump administration has reversed course, with AI czar David Sacks stating the Biden-era rules were “never intended to capture friends, allies, or strategic partners.”

  • In recent months, G42 and MGX have cut Chinese hardware use and divested from Chinese holdings to meet U.S. compliance conditions.

Still, Huawei and Alibaba Cloud remain active in the UAE, and past AI chip smuggling routes through Singapore, Malaysia, and the UAE have raised flags among U.S. regulators.

This deal marks a strategic turning point not just for U.S.-UAE relations, but for the global AI infrastructure race, cementing the UAE’s ambition to become a top-tier AI superpower—with Washington’s blessing.