💿Setting Up A GPU Node
To share your GPU resources and contribute to the SyncHub community-owned GPU nodes, you'll need to set up a GPU node on your machine. Follow these steps to get started:
Disclaimer: Supported GPU Models Nvidia 4090, A-series
Run Docker Container:
To simplify the process, SyncHub provides a Docker container that automates the setup and configuration of your GPU node.
Install Docker on your machine if you haven't already done so.
Run the following command in your terminal to fetch the Docker container:
Configure Docker Container:
Once the Docker container is fetched, you'll need to configure it with your SyncHub credentials and desired settings.
Run the following command to start the Docker container and configure it:
Follow the prompts to input your SyncHub authentication details, select your preferred settings, and configure the GPU node accordingly.
Ensure that you provide accurate information and configure the GPU node in the desired manner.
Start GPU Node:
After configuring the Docker container, you're ready to start your GPU node and begin contributing your GPU resources to SyncHub.
Run the following command to start the GPU node:
Your GPU node is now up and running, and your GPU resources are available for sharing within the SyncHub platform.
Monitoring and Management:
You can monitor and manage your GPU node through the SyncHub platform dashboard.
Keep an eye on your node's performance, contribution, and rewards earned.
If needed, you can stop or restart your GPU node using Docker commands.
By following these steps, you can set up a GPU node on your machine and start sharing your GPU resources with the SyncHub community. Your contributions will help accelerate AI model execution and enhance the capabilities of the SyncHub platform. Thank you for being a part of our community!
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