Whether you need a container-based instance, a serverless function, or a fully-managed AI endpoint, Runpod has you covered. You can choose from a variety of GPU types and counts, and pay only for what you use. Runpod also provides cloud sync, CLI, SSH, and TCP/HTTP ports for easy access and data transfer. In this blog post, we will show you how to get started with Runpod and run your first GPU job in minutes.
- Affordable and flexible pricing for GPU rental
- Easy to use container-based instances with Jupyter support
- Access to serverless GPU computing and AI endpoints
- Cloud sync feature to transfer data to any cloud storage
- API and CLI tools to automate and optimize workflow
- Serverless GPU platform is still in beta
- No full VM solution yet
- Limited availability of some GPU types
- Reliability of community cloud depends on vetted hosts
- No customer support or refund policy
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