GMI Cloud

GMI Cloud runs an AI-native cloud providing NVIDIA GPU clusters, inference services, and developer tooling from Mountain View, California.

Mountain View, CA, US

Founded

2021

Competitive Advantages

GMI Cloud operates its own data centers rather than renting capacity from hyperscalers, which lets it control GPU allocation and pricing; the company publishes direct per-GPU-hour rates ($2.00 for H100, $2.60 for H200) on its pricing pages. Its Taiwan-rooted supply chain, built on founder ties to Wistron and Compal, is positioned by the company as a route to faster hardware delivery than competitors dependent on longer procurement queues.

The platform layers three offerings on one infrastructure base: bare-metal and container compute with full root access, a Model-as-a-Service inference API, and Studio for production AI workflows. Company-published customers span inference providers (Fireworks, OpenRouter, Nous Research), application companies (Higgsfield), and security vendor Trend Micro, indicating usage beyond a single buyer category.

Source: gmicloud.ai

Market Outlook

Demand for dedicated AI compute keeps outpacing hyperscaler supply, and GMI Cloud's expansion tracks that gap: the company announced a $668 million financing package in September 2026 to fund global data-center buildouts, and in March 2026 unveiled a $12 billion, 1-gigawatt sovereign AI infrastructure initiative in Kagoshima, Japan, developed with Wistron and VAST Data. The Kagoshima project targets large-scale physical AI workloads, positioning the company beyond developer cloud rental.

Manufacturing partnerships signal the same direction: a May 2026 collaboration with Compal on AI infrastructure development extends the company's Taiwan supply-chain relationships into system-level delivery. The Series B participation of NVIDIA, Trend Micro, and KT Corp. ties the company's growth to strategic buyers and suppliers rather than financial investors alone.

Product Overview

GMI Cloud sells GPU cloud infrastructure across three layers: dedicated NVIDIA compute, Model-as-a-Service inference APIs, and Studio, a workflow environment for production AI pipelines. Compute spans bare metal with full root access to container-based clusters running H100, H200, and Blackwell systems in company-operated data centers in the United States and Asia-Pacific, managed by a Kubernetes-based Cluster Engine. Published per-GPU-hour pricing lists H100 at $2.00 and H200 at $2.60.

The company serves developer, enterprise, and channel partner segments, and cites its Taiwan supply-chain position as a delivery-speed advantage. Its Model-as-a-Service layer surfaces proprietary and open-weight models through one API with serverless inference and an upgrade path to dedicated clusters. Company-published customer names include Higgsfield, Fireworks, Trend Micro, OpenRouter, and Nous Research.