GMI Cloud Tech Stack
GPU infrastructure and ML deployment platform for enterprise AI workloads
GMI Cloud operates an AI infrastructure business centered on GPU clusters, networking, and ML deployment tooling. The stack reveals a systems-focused organization: NVIDIA + CUDA + Kubernetes + Slurm for compute orchestration, paired with high-performance networking (InfiniBand, Cisco, Juniper, Arista) and observability (Prometheus, Grafana). Active hiring heavily favors senior engineers (17 of 31 roles) concentrated in core infrastructure, with concurrent recruitment of finance and ops staff — a pattern typical of infrastructure startups scaling both technical depth and operational maturity. Recent ATS and ERP tooling adoption signals growing friction in internal processes as customer base expands.
Tech Stack 83 technologies
What GMI Cloud Is Building
◆Challenges
- High-performance network infrastructure for ai/ml workloads
- Improving accounting workflows
- Network troubleshooting
- Commercializing customer pocs
- Reducing manual processes
- Improving data visibility
- Vendor performance tracking
- Scaling us talent pipeline
- Recruiting niche technical roles
- Implementing ats
▲Active Projects
- Implement network infrastructure for global data center
- Design high-performance network fabrics for gpu clusters
- Co-develop cluster management apis
- Develop automation runbooks for deployment and configuration
- Gpu cluster design for enterprise customers
- Proof-of-concepts and benchmarks for gpu/ai infrastructure
- Customer onboarding and cluster setup
- Customer pocs
- Scalable vendor management workflows
- Erp integration for vendor processes
Hiring Activity
Department
Seniority
Notable leadership hires: Product Lead
