Cluster Engine Pricing
Cluster Engine is GMI’s Kubernetes-based GPU containerization and orchestration software. Cluster Engine can be deployed independently on your VPC or On-Prem GPU instances.
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Pricing
On-demand GPUs
Starting at
$4.39 / GPU-hour
Get startedGPU Configuration:
8 × NVIDIA H100
CPU Cores
2 x Intel 48 Cores
Memory
2TB
System Disk
2 x 960GB NVMe SSD
Data Disk
8 x 7.6TB NVMe SSD
GPU Compute Network
InfiniBand 400GB/s/GPU
Ethernet Network
100GB/s
Additional features
Cluster Engine
Application Platform
Pay-as-you-go
Reserved Capacity
Volume-based Pricing
Private Cloud
As low as
$2.50 / GPU-hour
Get startedGPU Configuration
8 x NVIDIA H100
CPU Cores
2 x Intel 48 Cores
Memory
2TB
System Disk
2 x 960GB NVMe SSD
Data Disk
8 x 7.6TB NVMe SSD
GPU Compute Network
InfiniBand 400GB/s/GPU
Ethernet Network:
100 GB/s
Additional features
Cluster Engine
Application Platform
Pay-as-you-go
Reserved Capacity
Volume-based Pricing
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.
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Empowering humanity's AI ambitions with instant GPU cloud access.
2860 Zanker Rd. Suite 100 San Jose, CA 95134
