EBCloud offers GPU cloud computing and Kubernetes container services for model training, inference and research development.
EBCloud: GPU computing and container services
EBCloud offers GPU cloud computing and Kubernetes container services for model training, inference and research development.
Features
Its GPU container service and development environments support Kubernetes workloads, images and monitoring, with shared, block and object storage options. Check current availability and specifications.
How to use it
Register on the official site and complete required verification. Select GPU, storage and billing for your task, review prices, create resources, deploy using the documentation and monitor usage. Check ongoing compute and storage charges afterwards.
Considerations
Prices and availability can change. Review data policies and organizational requirements, protect credentials and control access. Check model and dataset licenses; assess isolation and performance against the actual configuration and agreement.
Frequently asked questions
What tasks is it suitable for?
Depending on resources, model training, inference, research and containerized development.
Are there charges after stopping compute?
Storage or other charges may remain; check current billing terms.
Can Kubernetes manage workloads?
The official documentation describes Kubernetes container services and tools.
Frequently asked questions
What tasks is it suitable for?
Depending on resources, model training, inference, research and containerized development.
Are there charges after stopping compute?
Storage or other charges may remain; check current billing terms.
Can Kubernetes manage workloads?
The official documentation describes Kubernetes container services and tools.
