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.
RunPod Monthly Traffic Trends
RunPod experienced a 12.8% decline in traffic, reaching 585.5K visits in November. The lack of significant updates or major announcements in the month, combined with the absence of new product features, may have contributed to the drop in visits.
View history traffic
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