UAE Unveils Wafer-Scale AI Chip with Four Trillion Transistors
A wafer-scale AI chip containing about four trillion transistors was unveiled at the World Governments Summit in Dubai. The device was developed through a collaboration between Abu Dhabi’s G42 and US-based Cerebras Systems.
The chip was presented on stage by Peng Xiao, CEO of G42, who explained that using an entire wafer allows for a roughly 40-fold increase in transistor count compared to current GPUs, which typically reach just over 100 billion transistors. The presentation was introduced by Lt. Gen. Sheikh Saif bin Zayed Al Nahyan, the UAE’s deputy prime minister and interior minister.
The new chip will be deployed at G42’s planned 5-gigawatt AI campus in Abu Dhabi. The site is described as the largest AI factory initiative outside the United States, with multiple units of the wafer-scale chip expected to power large-scale AI operations. Construction at the site began in mid-2025 and is progressing toward its first 200 megawatts of AI data center capacity.
During the presentation, Xiao highlighted the computing demands of advanced AI systems, describing the chip as the mechanism that converts energy into intelligence. Al Nahyan emphasized that the project aligns with the UAE’s broader technology strategy, aiming to expand AI accessibility and ensure data security standards comparable to diplomatic protections.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more