
GMI Cloud’s mission is to empower anyone to deploy and scale AI effortlessly. We deliver seamless access to top-tier GPUs and a streamlined ML/LLM software platform for integration, virtualization, and deployment. Serving businesses around the globe, we provide the infrastructure to fuel innovation, accelerate AI and machine learning, and redefine what’s possible in the cloud.

GMI Cloud’s mission is to empower anyone to deploy and scale AI effortlessly. We deliver seamless access to top-tier GPUs and a streamlined ML/LLM software platform for integration, virtualization, and deployment. Serving businesses around the globe, we provide the infrastructure to fuel innovation, accelerate AI and machine learning, and redefine what’s possible in the cloud.
What they do: GPU-optimized cloud infrastructure and software for training and deploying large AI models
Founded / HQ: 2023; San Jose / Mountain View area (California)
Scale / team: ~100 employees
Recent funding: $82M Series A (Oct 2024; $15M equity + $67M debt); total capital reported ~$93M
Key partners / investors: Headline Asia (lead), Banpu, Wistron
Infrastructure and platform support for large-scale AI model training and inference
2023
IT System Data Services
$82M (reported; structure: $15M equity + $67M debt)
Round included strategic participants such as Banpu and Wistron; debt component reported as $67M.
“Led by growth/regionally-focused lead investor (Headline Asia) with strategic corporate participants (Banpu, Wistron) and significant debt financing in the round”
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About GMI Cloud
GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .
We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia , delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.
We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.
Role Overview
As a Solution Architect, you will be the primary technical interface for our enterprise and hyperscaler accounts.
You will design GPU-cloud and AI infrastructure solutions, lead PoCs and benchmarks, guide customers through deployment, and partner closely with internal engineering, infra, and operations teams to ensure successful delivery.
This role is ideal for someone who understands large-scale AI/ML/HPC workloads, enjoys working directly with customers, and wants to shape the future of AI infrastructure.
Key Responsibilities
Customer Engagement & Technical Leadership
Solution Design & PoC Execution
Deployment & Enablement
Ongoing Support & Relationship Building
Required Qualifications
Technical Background
Customer-Facing Skills
Soft Skills
Preferred Qualifications (Nice to Have)
Why Join GMI Cloud