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  3. Alex Yeh
Alex YehAY

Alex Yeh

Founder, GMI Cloud · GGMI Cloud
About Alex

Alex Yeh is the Founder and CEO of GMI Cloud, an AI-native infrastructure platform. He previously worked as a partner at a venture capital firm. GMI Cloud provides cloud infrastructure for artificial intelligence workloads, including GPU computing, model inference, and AI agent runtime services. The company builds its facilities entirely on Nvidia’s recommendations and has expanded its GPU capacity in the US, Taiwan, and other Asia-Pacific regions.

Strengths: founder archetype

Domain operatorTechnical builder
Domain operator 3
Technical builder 2
Young outlier –
Capital allocator –
Quant / trader –
Repeat founder –
Researcher –
Community builder –

one sourced signal · hover a cell for it, click for the source

Why domain operator

Alex Yeh transitioned from venture capital to founding GMI Cloud, demonstrating an ability to identify and capitalize on emerging market needs in AI infrastructure. His focus on building out GPU capacity and inference services, particularly in the US and Asia, shows a deep understanding of operational demands in the AI space. He also emphasizes the technical aspects of AI infrastructure, such as performance and cost reduction.

The signals behind it 4
  • GMI Cloud was founded in 2021, focusing primarily in its first two years on building and operating data centers to provide Bitcoin computing nodes. Over this period, we established three data centers in Arkansas and TexaDomain operator · Technical builder
    U
  • “AI is driving a new renaissance, and reliable compute is its foundation,” said Alex Yeh, GMI Cloud’s founder and chief executive.Domain operator
    T
  • “In AI infrastructure, a delivery date is a promise,” Yeh said.Domain operator
    T
  • GMI Cloud builds its facilities entirely on Nvidia’s recommendations, Phoebe Liu reported for The Information . Only seven cloud providers do so, according to the report.Technical builder
    T
PATH · 6 MILESTONES

Alex Yeh | VC to AI Infrastructure Founder

2021 → 2026·1phases·nowFOUNDER GMI CLOUD
202120222023202420252026Founder GMI Cloud, 2021–now | FOUNDER GMI CLOUD |2021: Founded GMI Cloud | FOUNDED GMI CLOUD | 2025: GMI Cloud opened its first Asian facility, in Taiwan | OPENED TAIWAN FACILITY | Feb 20, 2026: GMI Studio multi-modal model service hits 40M ARR | GMI STUDIO ARR | Apr 2, 2026: Applications closed for 4 weeks of infra intensity with @scale_at_gmi | INFRA INTENSITY PROGRAM | Sep 30, 2026: GMI Cloud raised $668M (Series B+), led by ARCHIV. $668M SERIES B+ · SEP '26 Oct 1, 2026: GMI Cloud raises $668m in new financing | RAISED 68M |

Every tag links its source.

Network

AYAlex Yeh
Built and backed 1GGMI CloudFounder

Background

4
  • Role Founder & CEO
    X
  • Company GMI Cloud
    X
  • Nvidia Reference Platform Cloud Nvidia Reference Platform Cloud
    X
  • Board Director Robostrategy
    X
Timeline, line by line 6

In their words

8
  • “True. Open source model run on trusted cloud provider which doesnt have adverse incentives matter so much”On open source models and trusted cloud providers. · Jul 5, 2026
    X
  • “Beyond the 58.4 SWE-Bench Pro result, what caught my attention more is its endurance on long-horizon agentic tasks. It doesn’t seem to stall after 50 turns. It keeps going through 600+ iterations and 6,000+ tool calls. That kind of persistence matters.”On the performance of GLM-5.1 in agentic tasks. · Apr 7, 2026
    X
  • “Community collaboration always fuses new possibilities. 🤝⚡️ Massive W for the OSS community. Let’s build. 🚀”On open-source community collaboration. · Mar 9, 2026
    X
  • “I believe it is human’s destiny to create silicon life. IT IS INEVITABLE”On the future of AI and silicon life. · Feb 23, 2026
    X
  • “Code security agents are interesting because the cost of a miss is real. Makes AI accuracy actually matter in a way chat assistants don't.”On the importance of AI accuracy in code security agents. · Feb 22, 2026
    X
  • “50x performance, 35x cost reduction for agentic AI with Blackwell Ultra. The hardware curve is moving faster than most app teams can absorb. Infrastructure is still the unlock here.”On the impact of new hardware on AI and the role of infrastructure. · Feb 20, 2026
    X
  • “1M token context + major computer use gains (72.5 OSWorld) means agent workloads need serious inference infra behind them.”On the infrastructure needs for agent workloads with large context windows. · Feb 19, 2026
    X
  • “Qwen3.5-397B is a meaningful step — not just benchmark numbers. 8.6–19x throughput via hybrid linear attention + sparse MoE means real cost reduction at inference scale. Apache 2.0 makes the deployment story even cleaner.”On the significance of Qwen3.5-397B for inference cost reduction and deployment. · Feb 18, 2026
    X

Interviews and coverage

5
How this is researched

Researched from public pages: press, interviews, the company's site and the founder's own posts. Each source logo links the page that states the row; anything we couldn't source is left out. The archetype is our reading of that record, from a fixed set so founders can be compared. Updated Oct 12, 2026.

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