AI compute
without hyperscalers overhead

One platform to run inference engines, GPU clusters, and bare metal without lock-in.

Start serverless and scale for success.

Choose a pre-built model or bring your own.
Deploy your model as an API endpoint in minutes.
Run Inference.
Auto scale & pay as you use.

Run your own GPU cluster and do it your way.

NVIDIA

H100

Well-suited for training and inference at scale with strong performance, availability, and ecosystem support.
$2.10/GPU-hour
NVIDIA

H200

Ideal for inference and training jobs that benefit from high memory bandwidth and larger model footprints.
$2.50/GPU-hour
NVIDIA

Blackwell

Best for teams planning large-scale training or inference deployments that require maximum performance headroom.
$3.0/GPU-hour
Run your own GPU cluster now.
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AI first
infrastructure

Inference-native infrastructure that scales automatically and runs only when needed.Inference-native infrastructure that scales automatically and runs only when needed.
01

Serverless by Default

Inference is serverless by default. Scaling, traffic handling, and cost optimization happen automatically, including scaling to zero.
03

Flexible by Design

You are not locked into a single model, vendor, or modality. Bring your own models, use open-source or proprietary systems, and support multimodal inference as workloads evolve.
02

Fast Inference at Scale

You are not locked into a single model, vendor, or modality. Bring your own models, use open-source or proprietary systems, and support multimodal inference as workloads evolve.

One API,
latest AI models

GMI Cloud hosts a continuously updated library of production-ready models across text, vision, audio, video, and 3D, all deployable through the same inference API.

Case studies

Explore real-world success stories of AI deployment powered by GMI Cloud.

FAQ

Get quick answers to common queries in our FAQs.

What is GMI Cloud?

GMI Cloud is a GPU-based cloud provider that delivers high-performance and scalable infrastructure for training, deploying, and running artificial intelligence models.

What services does GMI Cloud provide?

GMI Cloud supports users with three key solutions. The Inference Engine provides ultra-low latency and automatically scaling AI inference services, the Cluster Engine offers GPU orchestration with real-time monitoring and secure networking, while the GPU Compute service grants instant access to dedicated NVIDIA H100/H200 GPUs with InfiniBand networking and flexible on-demand usage.

Which GPUs are available, and how does scaling work?

Currently, NVIDIA H200 GPUs are available, and support for the Blackwell series will be added soon. In the Cluster Engine (CE), scaling is not automatic — customers need to adjust compute power manually using the console or API. By contrast, the Inference Engine (IE) supports fully automatic scaling, allocating resources according to workload demands to ensure continuous performance and flexibility.

How is GPU usage priced?

NVIDIA H200 GPUs are available on-demand at a list price of $3.50 per GPU-hour for bare-metal as well as $3.35 per GPU-hour for container. The pricing follows a flexible, pay-as-you-go model, allowing users to avoid long-term commitments and large upfront costs. Discounts may also be available depending on usage.

What makes GMI Cloud different from other cloud providers?

As a NVIDIA Reference Cloud Platform Provider, GMI Cloud offers a cost-efficient and high-performance solution that helps reduce training expenses and speed up model development. Dedicated GPUs are instantly available, enabling faster time-to-market, while real-time automatic scaling and customizable deployments provide users with full control and flexibility.

Deploy models. Scale inference automatically.

One platform to run inference engines, GPU clusters, and bare metal without lock-in.