Cluster Engine
Turnkey Kubernetes control plane to transform your GPU resources into high-value AI services.
How it works
Whether you're a Bitcoin miner looking to diversify, an aggregator aiming to consolidate resources, or a cloud service provider seeking to enhance your offerings, Cluster Engine provides the tools and capabilities to succeed.
GPU containerization
Easily scale your pods, optimize resource utilization and ensure reliability, security and availability.
Isolation and conflict avoidance
Kubernetes containers provide isolated environments, preventing library conflicts and ensuring smooth operation.
Pre-packaged libraries
Quickly deploy AI applications with pre-configured binaries and drivers.
Kubernetes orchestration
Running AI models on fully managed Kubernetes simplifies compute nodes and cluster management.
Resource allocation
Efficiently find and allocate GPU resources, optimizing usage and performance.
High availability
Automatic workload migration ensures continuous service, even if individual nodes fail.
Multi-cluster management
Manage multiple clusters across different geographic locations through a single, intuitive interface.
Global deployment
Seamlessly distribute workloads across clusters, optimizing for proximity and performance.
Opinions about GMI
“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.”
Get started today
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
Frequently asked questions
Get quick answers to common queries in our FAQs.
What types of GPUs do you offer?
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?
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?
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?
Our pricing includes on-demand, reserved, and spot instances, with automatic scaling options to optimize costs and performance. Check out pricing.
Empowering humanity's AI ambitions with instant GPU cloud access.
2860 Zanker Rd. Suite 100 San Jose, CA 95134
