RunPod Howto
RunPod is a cloud computing platform built for AI that provides cost-effective GPU services for developing, training, and scaling machine learning models.
View MoreHow to Use RunPod
Sign up for an account: Go to runpod.io and create an account by clicking the 'Sign up' button.
Add funds to your account: Load funds into your RunPod account. You can start with as little as $10 to try things out.
Choose a GPU instance: Navigate to the 'GPU Instance' section and select a GPU that fits your needs and budget from the available options.
Select a template: Choose from over 50 pre-configured templates or bring your own custom container. Popular options include PyTorch, TensorFlow, and Docker templates.
Deploy your pod: Click 'Deploy' to spin up your GPU instance. RunPod aims to have your pod ready within seconds.
Access your pod: Once deployed, you can access your pod through various methods like Jupyter Notebook, SSH, or the RunPod CLI.
Develop and run your AI workloads: Use the pod to develop, train, or run inference for your AI models. You can use the RunPod CLI for hot-reloading of local changes.
Monitor usage and costs: Keep track of your pod usage and associated costs through the RunPod console.
Scale with Serverless (optional): For production workloads, consider using RunPod Serverless to automatically scale your AI inference based on demand.
Terminate your pod: When finished, remember to stop or terminate your pod to avoid unnecessary charges.
RunPod FAQs
RunPod is a cloud computing platform designed for AI and machine learning applications. It offers GPU and CPU resources, serverless computing, and tools for developing, training, and scaling AI models.
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