GMI Cloud
AI-native cloud platform for GPU-accelerated computing workloads.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
* | N/A | $67.0m | Debt |
| Total Funding | 000k | ||
GMI Cloud is a venture-backed digital infrastructure company providing GPU-as-a-Service, purpose-built for AI and machine learning workloads. Founded in 2021 by Alex Yeh, the company pivoted from a cryptocurrency mining data center operator to an AI-focused cloud provider after identifying a significant market need for accessible GPU computing power. Yeh's journey began with building data centers in the U.S. for Bitcoin mining after operations were outlawed in China. This experience in managing large-scale data center infrastructure, particularly around power and cooling, provided a foundation for the shift to the high-demand GPU cloud market.
The company operates as a vertically integrated, AI-native cloud provider, combining hardware and software solutions to simplify AI model deployment and scaling. Its primary offering is providing on-demand and reserved access to high-performance NVIDIA GPUs, including the H100 and H200 models, for businesses ranging from startups to large enterprises. The business model is designed to offer flexible, cost-effective access to computing resources without significant upfront capital investment or long-term contracts, addressing GPU supply shortages and high market entry barriers. Revenue is generated by renting GPU capacity, with competitive hourly rates and private cloud options.
GMI Cloud's platform includes its proprietary "Cluster Engine," a Kubernetes-based orchestration software that simplifies resource management, containerization, and the scaling of AI workloads. The company emphasizes reducing deployment complexity through pre-built software stacks and expert support. It serves clients in sectors like healthcare, research, and telecommunications, with data centers in the U.S., Taiwan, and Malaysia to ensure low latency and global accessibility. The company has raised a total of $93 million through a combination of equity and debt financing, with investors including Headline, Wistron, and Banpu NEXT.
Keywords: GPU cloud, AI infrastructure, NVIDIA Partner Network, machine learning, high-performance computing, GPU-as-a-Service, on-demand GPU, private cloud, Kubernetes orchestration, AI model deployment, ML Ops, inference services, deep learning, data center solutions, Alex Yeh, H100 GPU, cloud computing, AI development, scalable AI, venture-backed