GMI Cloud runs a GPU cloud built on NVIDIA H100/H200, InfiniBand/RDMA and NCCL, with vLLM, SGLang and TensorRT-LLM in the inference layer and Slurm plus Kubernetes for orchestration. Senior-heavy, accelerating hiring across engineering, ops and logistics points to physical data center buildout, not just software. OpenTelemetry adoption alongside Prometheus, Grafana and Mimir lines up with stated pain around GPU observability.
Notable leadership hires: Security Director
GMI Cloud is a privately held AI infrastructure provider founded in 2023 and headquartered in Mountain View, California. It offers GPU compute as a service along with a software platform for deploying and scaling ML and LLM workloads, including model-as-a-service offerings. The company serves businesses globally and employs 51–200 people. Hiring spans Taiwan, China, Japan, Singapore, Uganda and the United States.
GMI Cloud's stack includes NVIDIA H100 and H200 GPUs, NVIDIA AI Enterprise, and InfiniBand/RDMA networking with NCCL and MPI for multi-GPU communication.
GMI Cloud uses vLLM, SGLang and TensorRT-LLM for model serving, orchestrated with Kubernetes and Slurm, and monitored with Prometheus, Grafana and Mimir, now adopting OpenTelemetry.
GMI Cloud hires in Taiwan, China, Japan, Singapore, Uganda and the United States, with engineering, ops and logistics leading the mix and a Security Director role open.
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GMI Cloud's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
