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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GPU Configuration:
SSD:
CPU Cores:
CPU Processor:
NVMe:
Bandwidth:
Memory:
Network:
As low as
GPU Configuration:
SSD:
CPU Cores:
CPU Processor:
NVMe:
Bandwidth:
Memory:
Network:
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.