# GMI Cloud

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/gmi-cloud

- Industry: Software
- Headquarters: Mountain View, US
- Website: www.gmicloud.ai
- Total disclosed funding: $223M
- Latest round: Series B (Oct 1, 2026)
- Investors on record: 7

## About

Founded in 2023 by CEO Alex Yeh and based in California, US, GMI Computing US Inc. is doing business as a GMI Cloud provider of software that provides access to GPU resources for startups to experiment, prototype, and evaluate artificial intelligence applications. In October 2026, GMI Cloud raised USD 223 million in series B funding led by ARCHIV Capital Management, with participation from NVIDIA Corporation, DSC Investment, Trend Micro, KB Investment, Kyobo Life Insurance, KT Corporation, and a USD 445 million in venture debt funding from CTBC Bank. The round was part of a larger USD 668 million series B and venture debt funding.


GMI Cloud offers a comprehensive suite of cloud-based services centred around GPU access and management. GMI Cloud provides on-demand access to high-performance GPUs, including NVIDIA’s latest models like the H100 and H200. These instances are available as shared, on-demand resources and private cloud deployments, allowing users to build, train, fine-tune, and deploy state-of-the-art machine learning models. Cluster Engine: Built on Kubernetes, the Cluster Engine enables effective GPU resource allocation and management. With features like multi-cluster management and workload orchestration, this tool optimises GPU utilisation, facilitating seamless deployment of distributed AI workloads. Application Platform: This layer supports the customisation and deployment of AI applications. GMI Cloud offers APIs, SDKs, and Jupyter notebooks, providing developers with tools to streamline the creation and deployment of models. The platform includes integration with popular ML frameworks and supports data storage solutions to simplify model training and inference.

The company generates revenue through a subscription model, which costs USD 4.39 per GPU-hour for on-demand GPUs and USD 2.50 per GPU-hour for private cloud.

The company plans to use the October 2026 funding to expand GPU infrastructure across the U.S., Taiwan, and Southeast Asia, grow its AI inference services, and hire additional talent to support increasing demand for AI computing capacity.

## Funding rounds

- Series B, Oct 1, 2026, $223M — Kyobo Life Insurance, KB Investment, NVIDIA Corporation, Trend Micro, KT Corporation, DSC Investment, ARCHIV Capital Management

## Investors

- Kyobo Life Insurance — Series B
- KB Investment (https://capitalatlas.ai/funds/kb-investment) — Series B
- NVIDIA Corporation — Series B
- Trend Micro (https://capitalatlas.ai/funds/trend-micro) — Series B
- KT Corporation — Series B
- DSC Investment (https://capitalatlas.ai/funds/dsc-investment) — Series B
- ARCHIV Capital Management — Series B