GMI Cloud
Blackwell-ready GPU cloud with transparent per-GPU pricing
Last reviewed May 8, 2026
GMI Cloud is a GPU-focused neocloud offering NVIDIA H100, H200, B200 and GB200 systems with on-demand and reserved pricing, targeted at AI training and production inference customers.
We're actively tracking prices for GMI Cloud. Check back soon, or browse other providers with current pricing.
Pros & Cons
Advantages
- Transparent published per-GPU hourly rates
- Access to current Blackwell-generation systems
- Managed inference offering layered on dedicated GPUs
Limitations
- Smaller global footprint than hyperscalers
- Newer entrant relative to long-established providers
- Lower-tier GPU selection (L4, T4, etc.) is limited
Key Features
Blackwell Capacity
GB200 NVL72, GB200 NVL4 and HGX B300 systems available alongside H100/H200
Inference Engine
Managed inference platform that runs models on top of the underlying GPU fleet
Reserved + On-Demand
Both hourly on-demand and longer-term private cloud reservations are published
Pricing Options
| Option | Details |
|---|---|
| On-Demand Containers | Hourly billing for self-serve GPU containers |
| Reserved Private Cloud | Discounted longer-term reservations of dedicated GPU clusters |
| Inference Engine | Per-token or per-second billing for hosted model endpoints |
Availability & Support
Regions
Data centers in North America and Asia
Support
Documentation, self-service console, and enterprise support for reserved customers
Getting Started
- 1
Create an account
Sign up for the GMI Cloud console
- 2
Pick a GPU and region
Select an on-demand container, bare-metal cluster, or inference endpoint
- 3
Deploy your workload
Launch via the console or programmatically through the GMI API