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§ Private Profile · San Jose, CA, USA
GPU cloud infrastructure provider offering integrated hardware and software solutions for enterprise AI development, focused on NVIDIA GPUs.
Based in San Jose, California, GMI Cloud is a venture-backed GPU cloud infrastructure provider that facilitates the deployment and scaling of artificial intelligence models through integrated hardware and software solutions. The company operates nine data centers across the United States and Asia, supported by a global workforce of approximately 53 employees. As one of 16 global NVIDIA Cloud Partners, the firm provides high-performance computing power to enterprise clients across the healthcare, research, and telecommunications sectors, including companies deploying advanced models like DeepSeek-R1. Experiencing rapid commercial growth, the organization recently reported that its first-quarter revenue tripled year-over-year. The enterprise has raised $93 million in total venture funding, which includes an $82 million Series A round backed by investors Headline Asia, Banpu, and Wistron. GMI Cloud was originally founded in 2021 by chief executive officer Alex Yeh.
GMI Cloud has raised $97.0M across 2 funding rounds.
GMI Cloud has raised $97.0M in total across 2 funding rounds.
GMI Cloud has raised $97.0M in total across 2 funding rounds.
GMI Cloud's investors include Headline, Infinity Ventures Crypto, Trajectory Ventures, Elia Montanari, Sal Ismail.
GMI Cloud has raised $97.0M across 2 funding rounds. Most recently, it raised $82.0M Debt / Series A in October 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 29, 2024 | $82M Debt Financing | Headline | — | Announced |
| Oct 1, 2024 | $15M Series A | — | Infinity Ventures Crypto, Trajectory Ventures, Elia Montanari, SAL Ismail | Announced |
GMI Cloud is a Series A-stage cloud computing company founded in 2021, providing scalable GPU infrastructure and software platforms specialized for AI workloads, including model training, inference, and deployment.[1][2][4] It serves startups, enterprises, and researchers needing high-performance GPUs like NVIDIA H100/H200, offering solutions such as the Inference Engine for low-latency auto-scaling, Cluster Engine for orchestration, and on-demand GPU compute, all backed by nine global datacenters and SOC 2 certification for security and compliance.[2][3][4] With $82M raised (including a $15M round 7 months ago), the company has shown strong growth, relocating its HQ to Mountain View, CA in May 2025 to support expansion amid rising AI demand.[1][3]
GMI Cloud was founded in 2021 by Alex Yeh, who serves as CEO, leveraging his expertise in supply chain, hardware, and AI alongside a global team of engineers and specialists from Silicon Valley.[2][3] Based initially in San Jose, California, the company emerged to address the growing need for specialized AI infrastructure amid the AI boom, offering GPU access and platforms for integration, virtualization, and deployment tailored to tech businesses.[1][2] Early traction came from its global datacenter footprint (U.S., Taiwan, Malaysia, Mexico) and partnerships with NVIDIA and HPE, enabling cost-effective, geopolitically resilient computing; by 2025, it secured significant funding and moved to a larger Mountain View HQ to fuel customer and partnership growth.[1][3][4]
GMI Cloud rides the explosive growth of AI infrastructure demand, fueled by foundation model training, real-time inference, and agentic AI, where GPU shortages and high costs from hyperscalers create opportunities for specialized providers.[1][2][4] Its timing aligns with the post-2023 AI surge, global datacenters mitigating U.S.-Asia supply chain risks, and the shift to cost-optimized, compliant alternatives amid rising enterprise AI adoption.[3] Market forces like NVIDIA's GPU dominance and exploding ML workloads favor GMI's niche focus, positioning it to influence the ecosystem by enabling faster innovation for startups and enterprises, bridging Silicon Valley with Asia, and supporting the "go global" scaling of AI without infrastructure bottlenecks.[2][3][4]
GMI Cloud is poised for hypergrowth as AI compute demand intensifies, with plans to add Blackwell GPUs and expand its global network to capture more enterprise inference and training market share.[4] Trends like multimodal AI, edge inference, and sovereign clouds will shape its path, amplifying its edge in cost-efficiency and compliance amid hyperscaler pricing pressures. Its influence could evolve from niche provider to AI infrastructure leader, empowering bolder AI ambitions worldwide and solidifying its role in fueling the next wave of innovation from its Mountain View base.[3][4]