How to Deploy Llama 2 on DigitalOcean for $5/Month: Complete Self-Hosting Guide
Dev.to / 6/4/2026
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Key Points
- The article provides a step-by-step guide to self-host Llama 2 inference on DigitalOcean, claiming it can be deployed quickly and run for about $5/month.
- It argues that self-hosting is cheaper than using paid AI APIs, using example token-cost math to contrast OpenAI/Claude API spending versus local inference costs.
- The guide recommends using Llama 2 7B with quantization as a practical balance of speed, VRAM requirements, and production usefulness, while noting much larger VRAM needs for 13B and 70B.
- It lists prerequisites including a DigitalOcean account, basic SSH knowledge, and required software components such as Ollama, Docker, and curl/Python for testing.
- The DigitalOcean setup section outlines creating an Ubuntu 22.04 droplet, selecting the $5/month size, choosing region, and configuring authentication to begin deployment.
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