GMI Cloud

GMI Cloud is an AI-native GPU cloud for training, fine-tuning, and inference. Rechecked 2026-08-25: gmicloud.ai/en/pricing prints H100 from $2.00 / GPU-hour, H200 $2.60, B200 $4.00, and GB200 $8.00, on demand with no hidden fees. Nvidia named GMI Cloud one of six global Reference Platform Cloud Partners. Do not invent an enterprise seat on the page we opened.

Compare OpenGradient if you wanted decentralized inference, Modal if you wanted a serverless sandbox, and Ollama if you wanted local model serving.

Key Features

• Dedicated NVIDIA GPUs: H100, H200, B200, and Blackwell GB200/GB300 on demand, in GMI-operated data centers with InfiniBand.
• Pay-as-you-go: hourly billing, no minimum commitment, no forced long-term reserve. Commitment savings only when you choose them.
• GPU Compute + Inference + Cluster engine: on-demand instances plus an auto-scaling OpenAI-compatible inference API for text, image, video, and audio models.
• Region coverage: US and APAC, targeting teams that want flagship silicon close to home.
• Managed stack: Kubernetes-managed images with TensorRT and NVIDIA prebuilt containers (Triton, and others).

Limitation: it is a mid-size provider. For the very largest flops or the deepest integration ecosystem, hyperscalers and CoreWeave-class platforms go further.

Use Cases

• Fine-tuning and training runs that need reliable H100/H200 on demand, not a waitlist.
• Production inference via the serverless OpenAI-compatible endpoint or reserved bare-metal.
• Teams in APAC that want low-latency US/APAC regions with unified billing.

Pricing

Public pricing on 2026-08-25 from gmicloud.ai/en/pricing.

Nvidia also reports GMI Cloud was an early contributor to DGX Cloud Lepton. Recheck the live page before you budget; rates change.

Getting Started

1. Open gmicloud.ai and create an account.
2. Pick an on-demand GPU instance or spin up the inference endpoint.
3. Deploy a prebuilt TensorRT/Triton image or bring your own container.
4. Keep an eye on hourly burn for long training runs.

First-party start: gmicloud.ai and docs.gmicloud.ai.

Frequently Asked Questions

Does it have spot instances?

The on-demand catalog we opened lists dedicated compute; spot pricing was not on the page we checked.

Is it cheaper than hyperscalers?

GMI claims up to ~50% cost reduction versus some alternatives and quotes a mid-range spot versus on-demand. Treat these as company claims, not an audit.

Is there a free tier?

No public free tier on the page we opened. Billing is on-demand per GPU-hour.

Alternatives

• OpenGradient: decentralized verifiable inference.
• Modal: serverless sandbox and scale-to-zero compute.
• Ollama: local model runner plus an optional cloud.

Tips

1. Quote H100 from $2.00 / $2.60 / $4.00 / $8.00 from the official pricing page, not a leftover screenshot.
2. Recheck the live pricing page before a multi-week reserve.
3. For the OpenAI-compatible endpoint, verify the model catalog matches your workload.

Conclusion

GMI Cloud is a Nvidia-backed GPU cloud with on-demand H100 from $2.00 / GPU-hour and an inference API, not an enterprise subscription. Start at gmicloud.ai, then decide whether Modal already covers the sandbox you need.