GMI Cloud Tech Stack

GPU infrastructure and ML deployment platform for AI workloads

IT System Data Services Mountain View, California 51–200 employees Founded 2023 Privately Held

GMI Cloud operates a GPU-centric AI infrastructure platform built on NVIDIA, Kubernetes, and orchestration tools like Slurm and Ray. The stack reveals a focus on large-scale training and inference workload management—reinforced by active projects around GPU/CPU provisioning automation and an AI inference engine. Hiring velocity is accelerating with engineering (19 roles) leading, alongside a notable gap in US talent sourcing and concurrent emphasis on supply chain optimization, signaling scaling pains in both product delivery and vendor operations.

Tech Stack 60 technologies

Core StackPython GitHub Kubernetes Docker Linux Anthropic OpenAI Ansible Jenkins GitLab CI/CD Prometheus NVIDIA Discord X Slurm Ray Azure Google Meta OCI InfiniBand OpenStack Excel UPS Ceph NVMe NFS SGLang vLLM Anyscale+26 more

AdoptingGreenhouse Ashby ERP

What GMI Cloud Is Building

◆Challenges

Scaling us talent pipeline
Stability of ai/ml clusters
Debugging performance and stability issues
Optimizing gpu utilization
Reducing supply chain costs
Supply chain risk mitigation
Supply chain efficiency improvement
Ats implementation
Vendor performance tracking
Improving data visibility

▲Active Projects

Ai/ml infrastructure for large-scale training and inference
Ats setup and implementation
Operational reviews for cost optimization
Automation pipelines for gpu/cpu provisioning
Transitioning pocs to commercial agreements
Ai inference engine
Strategic partnership development
Scalable vendor management workflows
Erp integration for vendor processes
Support rlhf / rft / sft workflows

Hiring Activity

Accelerating55 roles · 30 in 30d

Department

Engineering

Sales

Finance

Product

Ops

Marketing

Support

Seniority

Senior

Mid

Director

Junior

Manager

Intern

Notable leadership hires: Sourcing Director, Account Director

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About GMI Cloud

GMI Cloud provides GPU infrastructure and ML/LLM deployment services for businesses running large-scale AI workloads. Founded in 2023 and based in Mountain View, the company operates a 51–200-person organization across engineering, sales, operations, and product functions. The infrastructure layer spans NVIDIA GPUs, Kubernetes orchestration, and open-source ML frameworks (Ray, vLLM, SGLang), while the platform surface handles model integration, virtualization, and deployment. Current operational priorities include cluster stability, GPU utilization optimization, vendor lifecycle management, and converting proofs-of-concept into commercial contracts.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2023

Hiring MarketsUnited States, China, Taiwan, Japan, Uganda

Frequently Asked Questions

What GPUs and infrastructure does GMI Cloud use?

NVIDIA GPUs paired with Kubernetes, Slurm workload management, Ray for distributed ML, and storage layers including Ceph and NFS. The stack also integrates Azure, Google Cloud, and OCI for multi-cloud flexibility.

What is GMI Cloud working on operationally?

Automation for GPU/CPU provisioning, AI inference engine development, cluster stability and performance debugging, cost optimization reviews, and ERP integration for vendor workflows. ATS implementation and transitioning POCs to commercial agreements are in progress.