GMI Cloud
GMI Cloud is an AI-native GPU cloud for training, fine-tuning, and inference. Nvidia named GMI Cloud one of six global Reference Platform Cloud Partners.
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.
| GPU | Price | Notes |
|---|---|---|
| NVIDIA H100 | from $2.00 / GPU-hour | On demand, no hidden fees. |
| NVIDIA H200 | $2.60 / GPU-hour | Limited availability. |
| NVIDIA B200 | $4.00 / GPU-hour | Blackwell. |
| NVIDIA GB200 | $8.00 / GPU-hour | Blackwell, available now. |
| NVIDIA GB300 | Pre-order | Nvidia next-generation. |
Nvidia also reports GMI Cloud was an early contributor to DGX Cloud Lepton. Confirm the live page before you budget; rates change.
Getting Started
- Open gmicloud.ai and create an account.
- Pick an on-demand GPU instance or spin up the inference endpoint.
- Deploy a prebuilt TensorRT/Triton image or bring your own container.
- 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 on the public page 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?
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
- Quote H100 from $2.00 / $2.60 / $4.00 / $8.00 from the official pricing page, not a leftover screenshot.
- Confirm the live pricing page before a multi-week reserve.
- 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.
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