AI & Emerging Tech
GMI Cloud raises $668m to expand AI infrastructure and hiring across APAC

The Series B funding will also support the continued expansion of the company's inference services and strategic hiring as it scales its operations.
AI cloud infrastructure provider GMI Cloud has raised $668 million in new financing as it looks to expand its GPU capacity across the US and Asia-Pacific and increase hiring as demand for AI compute accelerates.
The funding comprises $223 million in Series B equity and a $445 million credit facility led by CTBC. The Series B was led by San Francisco-based investment firm ARCHIV, which focuses on AI and robotics, with participation from NVIDIA and investors across the Asia-Pacific region.
Funding to support expansion
GMI Cloud said the new capital will support capacity expansion across the US, Taiwan and other APAC markets, building on its Taiwan AI Factory launched in 2025 and its Japan sovereign AI initiative announced earlier this year.
The Series B funding will also support the continued expansion of the company's inference services and strategic hiring as it scales its operations.
"Our customers are scaling faster than ever, and they need infrastructure that keeps pace," said Alex Yeh, Founder and CEO of GMI Cloud. "AI is driving a new renaissance, and reliable compute is its foundation. Our goal is to build that foundation across continents, with an ecosystem of products on top of it."
AI demand drives growth
The latest funding follows a sharp increase in GMI Cloud's commercial activity. The company's contracted annual recurring revenue has grown to more than nine times its year-end 2025 level, while live ARR in production has increased more than 4.5 times over the same period.
Its inference platform currently processes approximately four trillion tokens a week. Customers include Fireworks, Higgsfield, Nous Research, OpenRouter, Reflection, Cartesia, Trend Micro and Utopai Studios.
GMI Cloud said AI compute demand is increasingly spanning multiple markets, with US AI companies and hyperscalers seeking capacity in both the US and Asia, while enterprises across APAC require AI infrastructure closer to their users and data.
Building a global AI workforce
The company said its expansion will require strategic hiring alongside infrastructure investment as it builds its operations across multiple markets.
Its model is designed to allow customers to deploy workloads across the US and APAC through a single platform, while meeting local data and regulatory requirements.
GMI Cloud also highlighted its links with Taiwan's AI server manufacturing ecosystem as a key part of its supply chain strategy.
"In AI infrastructure, a delivery date is a promise. Customers plan launches, hiring, and revenue around it," said Yeh. "Our place in Taiwan's supply chain is how we keep that promise, cluster after cluster globally."
Infrastructure demand accelerates
The company's expansion comes as AI companies increase their requirements for high-performance computing and inference infrastructure.
Chenyu Zhao, co-founder of Fireworks, said reliability would remain critical as AI workloads scale.
"Capacity that arrives late is capacity we can't use," said Chenyu Zhao, co-founder of Fireworks. "GMI Cloud has been one of our strongest and most reliable providers across NVIDIA GB200 and GB300 NVL72 systems."
The new financing gives GMI Cloud additional capital to scale infrastructure, expand its inference business and build the workforce required to support its growing international operations.
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