GPU Instances for AI Training & Inference

Fully dedicated bare metal servers with native cloud integration, at the best price.

Flexible On-Demand GPUs

GMI Cloud offers instant access to on-demand GPU cloud instances, allowing you to quickly scale compute power for AI and machine learning workloads. Our scalable GPU cloud platform lets you adjust resources dynamically, optimized for AI inference, training, and experimentation. With cost-efficient pricing and no long-term contracts, you gain flexible usage without upfront investment.

Illustration of the Nvidia H100 GPU, showcasing its power and support for advanced technologies.

Cutting-edge hardware

GMI Cloud offers the fastest network for distributed AI training with 3.2 Tbps InfiniBand, and cutting-edge GPU clusters powered by NVIDIA H100 and H200 GPUs. Our hardware is purpose-built for high-performance AI workloads, including LLM training, model inference, and fine-tuning on bare metal GPU infrastructure.

Dedicated Private Cloud

GMI Cloud provides dedicated GPU cloud environments tailored to enterprise AI needs, ensuring secure performance and compliance-ready infrastructure. Our private GPU cloud architecture supports isolated workloads, predictable costs, and customizable compute setups for AI training and inference at scale.

Infiniband Passthrough

We can slice InfiniBand GPU networks into multiple subnets to isolate resources and manage distributed AI workloads. This allows independent operation of applications or users, and enhances security by restricting inter-subnet access—an essential feature in GPU cloud infrastructure for scalable AI deployment.

Frequently asked questions

Get quick answers to common queries in our FAQs.

What types of GPUs do you offer?

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We offer NVIDIA H100 GPUs with 80 GB VRAM and high compute capabilities for various AI and HPC workloads. Discover more details at pricing page.

How do you manage GPU clustering and networking for distributed training?

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We use NVIDIA NVLink and InfiniBand networking to enable high-speed, low-latency GPU clustering, supporting frameworks like Horovod and NCCL for seamless distributed training. Learn more at gpu-instances.

What software and deep learning frameworks do you support, and how customizable is it?

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We support TensorFlow, PyTorch, Keras, Caffe, MXNet, and ONNX, with a highly customizable environment using pip and conda.

What is your GPU pricing, and do you offer cost optimization features?

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Our pricing includes on-demand, reserved, and spot instances, with automatic scaling options to optimize costs and performance. Check out pricing.