Alex Yeh is a technology entrepreneur and venture capitalist who is the founder and CEO of GMI Cloud, an artificial intelligence-focused cloud infrastructure company. He also holds the position of Director at Globaltec Capital, a firm where he manages portfolio investments. ^[2]

Education

Yeh attended Johns Hopkins University, where he earned a Bachelor of Applied Science degree. His field of study was Materials Science and Engineering. ^[1]

Career

Yeh began his career in finance in 2015 as an Investment Banking Summer Analyst at Credit Suisse in Singapore, where he was involved in financial analysis and corporate transactions. He transitioned to venture capital in 2017, working as an Analyst at Mesh Ventures in Taiwan, focusing on the evaluation of potential investments. In 2019, he took on the role of Entrepreneur in Residence at HOF Capital in New York, where he was engaged in startup development and shaping investment strategy until 2021.

Concurrently, beginning around 2019, he became a Director at Globaltec Capital, where his responsibilities include managing portfolio investments across various asset classes and developing macro strategies for equity and fixed income. From 2021 to 2025, Yeh served as a Partner at the venture capital firm IVC, where he contributed to investments in the Web3 and fintech sectors. In 2021, he founded GMI Cloud and has since served as its CEO, leading the company's efforts to provide AI-focused cloud infrastructure and GPU computing services to clients in the United States and Asia. ^[10]

Interviews

Scalable AI Infrastructure

On the What The futr podcast in July 2025, Yeh discussed the evolution of his company, which began in 2019 with a focus on GPU access for Bitcoin mining and pivoted towards providing a comprehensive AI infrastructure. Yeh described the complexity of the AI stack, emphasizing the need for not only hardware but also software and intelligent systems to support machine learning. He explained GMI Cloud's approach, likening it to "the Shopify of AI," where customers could access a modular AI platform with flexible tools for GPU usage and machine learning model deployment. Yeh highlighted the challenges faced in the data center industry, including power distribution regulations, and outlined the potential for growth in AI application development, noting that the rapid advancements in AI were akin to transformative shifts in technology, like those seen with smartphones. The conversation concluded with a reflection on the ongoing momentum in AI innovation and the role of GMI Cloud as a supportive infrastructure provider for businesses in the AI space. ^[3]

Panels

Building AI Stacks

In the June 2024 GMI Cloud webinar “How to Build and Own Your AI Stack,” Yeh, Yujing Qian (GMI Cloud), and Jordan Nanos (Hewlett Packard) discussed various aspects of AI infrastructure. They highlighted GMI's mission to provide a robust cloud platform for AI applications, focusing on ease of access and scalability. Yeh outlined the company's strategy of using proprietary hardware to ensure reliability and efficiency, while Nanos addressed security concerns in AI applications, emphasizing the importance of data privacy and compliance. Qian concluded with a demonstration of deploying Llama 3, illustrating the platform's user-friendly capabilities for developers. The session also included a dedicated Q&A to engage with audience inquiries, showcasing the interactive nature of the event. ^[4]

Navigating Sovereign AI

At the InnoVEX Forum in August 2024, several industry leaders discussed the concept of Sovereign AI and its implications for Taiwan and beyond. The panel featured experts including Yeh, Christopher Cuong T Nguyen (Aitomatic), Da-Shan Shiu (MediaTek), Hikari Senju (Omneky), and Ray Cheng (Millennium New Horizons).. They explored the concept of Sovereign AI, emphasizing the importance of data ownership and localization, which allows countries and companies to retain control over their valuable data and tailor AI solutions to meet specific cultural and linguistic needs. The discussion highlighted ongoing developments in AI infrastructure, particularly in Taiwan, and how localized AI can enhance product personalization, efficiency, and competitiveness. The panelists shared insights on the future of AI technology and its potential to revolutionize industries by fostering collaboration and encouraging the integration of AI into products and services. ^[5]