# Computing Services Provided by EMC Hub ### GPU-based Virtual Host Services #### Usage Users can select GPU models on EMC Hub and create their own virtual hosts utilizing the Docker images of Pytorch and TensorFlow base environments provided by EMC Hub. After obtaining the SSH link, users can log in and use the virtual hosts, typically for AI training, research, and testing purposes. #### Steps * Select the appropriate GPU model and quantity. * Create a virtual host using the base environment image provided by EMC Hub. * Obtain the SSH link and log in to begin usage. ### GPU-based Container Cloud Services #### Usage Users can select GPU models and quantities on EMC Hub and specify their own Docker images to create computing plans. Docker images can be pulled by computing nodes from specified DockerHub paths or uploaded to a dedicated server. The computing cloud service will screen computing network nodes based on the user's computing plan and ensure that the user's Docker image successfully runs the desired number of GPU container instances. This service is typically suitable for AI inference computing needs. #### Steps * Select the appropriate GPU model and quantity. * Specify the path for your Docker image or upload it to a dedicated server. * Create a computing plan, and EMC Hub will automatically screen computing nodes and run the instances. * Monitoring services will oversee the computing plan in real-time to ensure that the number of instances meets expectations. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.emc.network/en-3/computing-services-provided-by-emc-hub.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.