A detailed tutorial on deploying DeepSeek-R1 7B language model on AWS EC2 using Ollama and a Node.js proxy server, with complete implementation details and security considerations. The guide provides
production-ready code examples while discussing limitations and potential improvements for scaling the deployment.
Reasons to Read -- Learn:
how to deploy a 7B parameter language model locally on AWS EC2 with specific cost estimates (~$0.526 per hour) and infrastructure requirements (g4dn.xlarge instance with 8GB RAM)
how to implement a secure Node.js proxy server that protects your local LLM deployment while maintaining public accessibility, complete with working code examples and Docker configuration
practical limitations and considerations when deploying DeepSeek-R1 7B, including performance characteristics, censorship concerns, and specific improvements needed for production deployment
6 min readauthor: Stephen Collins
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