FOR IMMEDIATE RELEASE
GMI Cloud Debuts Pay-As-You-Go H200 GPU Clusters to Cut AI Startup Compute Costs Up to 70%
NVIDIA-referenced platform removes long-term contracts and wait-lists with on-demand access to flagship H100 and H200 GPUs starting at US $2.10 per hour.
San Jose, Calif. – November 22, 2025
GMI Cloud, an NVIDIA Reference Cloud Platform provider, today launched elastic GPU clusters that let seed-stage companies rent state-of-the-art NVIDIA H100 and H200 accelerators by the hour without minimum spend or annual lock-in. The service is purpose-built for generative-AI, computer-vision and biotech startups that need hyperscale-grade performance but cannot absorb the five- to six-month hardware lead times common on larger clouds.
“GPU spend now consumes 40–60% of an AI startup’s technical budget in its first twenty-four months,” said GMI Cloud CEO Alex Chen, citing data gathered from more than 200 venture-backed teams.
“Pay-as-you-go clusters level the field—founders can spin up a 32-GPU ring in minutes, train a model for forty-eight hours and spin down, paying only for the cycles they burn. That elasticity can stretch a seed round by six to nine months, which in this fund-raising climate is often the difference between Series A and shutdown.”
Recent market research validates the urgency: U.S. cloud-GPU demand outpaced supply 3-to-1 in Q3 2025, while average on-demand H100 pricing on hyperscalers climbed to US $7–13 per hour—triple 2023 levels . GMI Cloud’s entry-level rate of US $2.10 for the same GPU, combined with second-generation H200s at US $2.50, undercuts the market by 40–70% and eliminates opaque data-egress fees that frequently double bills, the company said.
The clusters deploy in less than 300 seconds through a Kubernetes-native console that auto-scales from one to 512 GPUs. Each node is interconnected with NVIDIA Quantum-2 InfiniBand, delivering 3.2 Tb/s of GPU-to-GPU bandwidth—critical for distributed training of 7-billion-plus-parameter models. Built-in MLOps templates (PyTorch 2.3, CUDA 12.4, Hugging Face, Slurm) remove days of setup time, while SOC 2 Type II and HIPAA-eligible infrastructure satisfy enterprise procurement checklists.
Early adopters already report measurable runway extension. Legal-sign startup LegalSign.ai slashed compute spend 50% after porting workloads from a leading hyperscaler, and video-generation firm Higgsfield trimmed training costs 45% during its latest diffusion-model iteration . Because instances are billed by the second and support live hibernation, engineers can checkpoint experiments, park GPUs and relaunch later without paying for idle time—a workflow GMI Cloud says cuts internal burn an additional 12% on average.
About GMI Cloud
Founded in 2022, GMI Cloud is a specialized GPU-as-a-Service provider headquartered in San Jose with data-center presence in California, Texas and Ohio. The company is an NVIDIA Partner Network Preferred member and maintains a direct supply-chain agreement for priority allocation of H100 and H200 accelerators. Its platform serves more than 300 customers ranging from Y Combinator startups to Fortune 500 enterprises.
Media Contact
Sarha Al-Mansoori
Director of Corporate Communications
G42
Email: media@g42.ai
Phone: +971 2555 0100
Website: www.g42.ai
