GMI Cloud Announces $500 Million AI Data Center in Taiwan Powered by Nvidia's Blackwell Chips

GMI Cloud to build $500 million AI data centre in Taiwan with Nvidia chips

The data centre will come online by March 2026 and will run on Nvidia's new Blackwell GB300 chips. The facility will house about 7,000 GPUs across 96 high-density racks, capable of processing nearly 2 million tokens per second. It will draw around 16 megawatts of power. US-based cloud services provider GMI Cloud said on Monday it will build a $500 million artificial intelligence data centre in Taiwan with the support of U.S. chipmaker Nvidia. The data centre will come online by March 2026 and will run on Nvidia's new Blackwell GB300 chips. The facility will house about 7,000 GPUs across 96 high-density racks, capable of processing nearly 2 million tokens per second. It will draw around 16 megawatts of power. GMI Cloud Founder and CEO Alex Yeh said Taiwan needs more data centres as "strategic assets" to support its AI development, adding that the island's power-supply challenges can be remedied. He said AI demand has been strong, with the company's GPU utilisation "almost full". "You want to promote local ecosystems - you have to build the data centre first, you have to build the AI cluster first," he said. The deal comes as technology giants around the world are pouring billions into AI infrastructure to support rising workloads, creating a windfall for semiconductor companies including Nvidia, which derives the bulk of its revenue from such sales. Nvidia CEO Jensen Huang has previously referred to such clusters as "AI factories" and has in the past year also announced deals to sell its most advanced GPUs to projects in Saudi Arabia and South Korea. U.S. President Donald Trump has said he wants the top AI semiconductors such as Nvidia's Blackwell chips reserved for U.S. companies. Other AI infrastructure projects recently announced in Taiwan include a 100-megawatt AI data centre project announced by Foxconn and Nvidia in May. GMI Cloud, a GPU-as-a-Service provider and one of Nvidia's cloud partners, already operates data centres in the United States, Taiwan, Singapore, Thailand and Japan. Besides the Taiwan project, GMI Cloud plans to build a new 50-megawatt U.S. data centre, and is looking to seek an initial public offering in two to three years. The project with Nvidia is expected to generate about $1 billion in total contract value once fully operational, Yeh said. Initial customers for the Taiwan AI factory include Nvidia itself, cyber-security firm Trend Micro, electronics maker Wistron, Chunghwa System Integration, data-infrastructure provider VAST Data, and industrial solutions firm TECO.

Nvidia Powers $500 Million AI Factory In Taiwan As Global Race For Smarter Tech Heats Up - NVIDIA (NASDAQ:NVDA)

Companies are shifting to artificial intelligence factories -- large-scale, standardized systems powered by NVIDIA Corp (NASDAQ:NVDA) technology -- to turn AI development into a continuous, industrialized process that drives faster innovation and real-world deployment. * NVDA shares are experiencing downward pressure. See the complete data here. GMI Cloud, a fast-growing Nvidia Cloud Partner and graphics processing unit or GPU-as-a-Service provider, launched a $500 million AI Factory in Taiwan to strengthen the region's sovereign AI infrastructure and support large-scale model training and deployment. The company said the facility will expand cross-Pacific AI collaboration by pairing U.S. accelerated computing technology with Asia's manufacturing expertise to speed real-world adoption of AI across industries. Also Read: Nvidia Launches AI Factory And Cloud Marketplace In Europe, Partnering With BMW, Mercedes The Taiwan AI Factory runs 7,000 Nvidia Blackwell Ultra GPUs in 96 GB300 NVL72 racks, delivering up to 2 million tokens per second for massive inference, fine-tuning, and multimodal workloads. Nvidia NVLink, Quantum InfiniBand, Spectrum-X networking, and BlueField DPUs enable high-performance, energy-efficient computing designed to power enterprise innovation and safeguard data sovereignty. Several partners are already deploying real-world use cases on the new platform. Trend Micro uses Nvidia AI Enterprise software and GMI Cloud infrastructure to run digital-twin simulations that strengthen cybersecurity while keeping production environments safe. Wistron trains and deploys computer vision and automation models directly on active production lines, reducing downtime and accelerating the shift to smart manufacturing. Last week, reports indicated Microsoft Corp (NASDAQ:MSFT) was rapidly scaling its AI infrastructure with a new "super factory" data center in Atlanta, built to anchor the Fairwater network and deliver massive computing power for advanced AI training. The facility will house hundreds of thousands of Nvidia GPUs, connect to other Fairwater hubs with ultra-fast fiber links, and support major AI developers, including OpenAI, Mistral AI and xAI. The Atlanta AI Factory forms a core pillar of Microsoft's plan to double its global data center footprint within two years. NVDA Price Action: NVDA stock is down 1.77% at $186.80 at publication on Monday. Read Next: Taiwan Semiconductor's Germany Chip Plant Moves Forward With Full Support From Taiwan Photo: Shutterstock NVDANVIDIA Corp$186.51-1.92%OverviewMSFTMicrosoft Corp$507.51-0.52%Market News and Data brought to you by Benzinga APIs

GMI Cloud to build $500 million AI data center in Taiwan with Nvidia By Investing.com

Investing.com -- GMI Cloud announced Monday it will construct a $500 million artificial intelligence data center in Taiwan with support from U.S. chipmaker NASDAQ:NVDA. The U.S.-based cloud services provider plans to bring the facility online by March 2026. The data center will be powered by Nvidia's new Blackwell GB300 chips and will house approximately 7,000 GPUs across 96 high-density racks. The facility will be capable of processing nearly 2 million tokens per second and will consume around 16 megawatts of power. GMI Cloud Founder and CEO Alex Yeh emphasized that Taiwan needs more data centers as "strategic assets" to support its AI development. He noted that the island's power-supply challenges can be addressed. Yeh also mentioned that AI demand has been robust, with the company's GPU utilization "almost full." "You want to promote local ecosystems - you have to build the data centre first, you have to build the AI cluster first," Yeh said. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.