Transparent GPU Cloud Pricing for AI Workloads
Clear, predictable pricing for dedicated NVIDIA GPU infrastructure, built for training, fine-tuning, and production inference at scale.
Pricing Philosophy
Predictable costs with no hidden fees, sudden throttling, or unexpected constraints.
Resource Model
Dedicated NVIDIA GPU resources, no shared environments or performance variability.
Hardware & Development
Flexible deployment across H100, H200, Blackwell, and next-generation NVIDIA platforms.
Production-Ready GPUs Today
Available on-demand for elastic scaling or reserved for predictable long-term workloads. Train models and run inference on dedicated NVIDIA GPUs inside GMI-operated data centers.
NVIDIA GB200
NVIDIA GB300
NVIDIA H100 GPU
NVIDIA H200
NVIDIA B200 GPU
Predictable GPU Pricing for Enterprise Workloads
A transparent, predictable pricing model designed for enterprise AI workloads at scale.
Commitment-Based Savings
Reduce unit GPU costs through reserved capacity and sustained deployments. GMI Cloud enables commitment structures that align pricing with long-term utilization, allowing enterprises to plan spend while improving cost efficiency at scale.
Usage-Adaptive Pricing
Start on-demand and transition smoothly to dedicated or committed deployments as workloads stabilize. Pricing flexes with workload maturity, avoiding forced lock-ins or premature long-term commitments.
Globally Competitive, Region-Aware Pricing
Consistent, competitive pricing across regions with unified billing and full usage transparency. Enterprises get a single commercial view across geographies, supported by invoicing, consolidated reporting, and region-appropriate payment options.
FAQ
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