
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,…

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,…
Headquarters: San Jose
Founded: 2023
Product: AI-native GPU cloud for production inference (APIs, orchestration, dedicated NVIDIA GPU compute)
Recent funding: $82M Series A (Oct 2024) led by Headline Asia
Compliance & SLAs: Enterprise SLAs and compliance (SOC 2, ISO 27001)
Production AI inference infrastructure and GPU cloud compute
2023
IT System Data Services
$82M
Round includes equity and debt; participation from Banpu NEXT and Wistron
“Led by Headline Asia with participation from Banpu NEXT and Wistron”
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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
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