Build your generative AI applications in minutes on GMI GPU Cloud.
GMI Cloud is more than bare metal. Train, fine-tune, inference state-of-the-art models. Our clusters are ready-to-go with a highly-scalable GPU containers and preconfigured popular ML frameworks.
Get started with the best GPU platform for AI.
Get instant access to latest GPUs for your AI workloads. Whether you need flexible On-Demand GPUs or dedicated Private Cloud Instances, we've got you covered.
NVIDIA H100
On-demand or Private Cloud
Scale from a GPU to SuperPOD
Maximize GPU resources with our turnkey Kubernetes software. Easily allocate, deploy, and monitor GPUs or nodes with our advanced orchestration tools.
Kubernetes-based containers
Multi-cluster management
Workload orchestration
Customize and serve models to build AI applications using your data. Prefer APIs, SDKs, or Jupyter notebooks? We have all the tools you need for AI development.
High performance inference
Mount any data storage
NVIDIA NIMs integration
GMI Cloud lets you deploy any GPU workload quickly and easily, so you can focus on running ML models, not managing infrastructure.
Tired of waiting 10+ minutes for your GPU instances to be ready? We've slashed cold-boot time to milliseconds, so you can start building almost instantly after deploying your GPUs.
Launch pre-configured environments and save time on building container images, installing software, downloading models, and configuring environment variables. Or use your own Docker image to fit your needs.
Leverage Cluster Engine, our turnkey Kubernetes software, on our infrastructure or yours to dynamically manage AI workloads and resources for optimal GPU utilization.
Gain centralized visibility, automated monitoring, and robust user management and security features to streamline operations and enhance productivity.
GMI Cloud operates data centers worldwide, ensuring low latency and high availability for your AI workloads.
Deploy on clusters closest to you with our ever-growing network of data centers, reducing latency down to milliseconds.
Local teams in key regions provide tailored support and insights, ensuring custom deployments for local needs and compliance with local regulations.
80 GB VRAM
2048 GB Memory
Intel 8480 CPUs
3.2 TB/s Network
192 GB VRAM
2048 GB Memory
Intel 8480 CPUs
3.2 TB/s Network
Resources and Latest News
Get quick answers to common queries in our FAQs.
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.
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.
We support TensorFlow, PyTorch, Keras, Caffe, MXNet, and ONNX, with a highly customizable environment using pip and conda.
Our pricing includes on-demand, reserved, and spot instances, with automatic scaling options to optimize costs and performance. Check out pricing.
Give GMI Cloud a try and see for yourself if it's a good fit for AI needs.
Starting at
$4.39/GPU-hour
As low as
$2.50/GPU-hour
“GMI Cloud is executing on a vision that will position them as a leader in the cloud infrastructure sector for many years to come.”
“GMI Cloud’s ability to bridge Asia with the US market perfectly embodies our ‘Go Global’ approach. With his unique experience and relationships in the market, Alex truly understands how to scale semi-conductor infrastructure operations, making their potential for growth limitless.”
“GMI Cloud truly stands out in the industry. Their seamless GPU access and full-stack AI offerings have greatly enhanced our AI capabilities at UbiOps.”
Empowering humanity's AI ambitions with instant GPU cloud access.
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