⚡ Deploy this in under 10 minutes How to Deploy Mistral Nemo with vLLM + Flash Attention on a $12/Month DigitalOcean GPU Droplet: 3x Faster Inference at 1/95th Claude Cost Stop overpaying for AI APIs. Your Claude calls at $0.003 per token add up fast when you're building production systems. I just deployed Mistral Nemo on a $12/month DigitalOcean GPU Droplet with vLLM and Flash Attention enabled, and I'm getting 3x faster inference than my previous setup while cutting costs by 95%. Here's the reality: a single API call to Claude costs roughly $0.003 per input token and $0.015 per output token. Run 1 million tokens through Claude monthly? That's $3,000+. Deploy an open-source model on your own GPU? $12/month, unlimited tokens, full control. The math is brutal in favor of self-hosting. But there's a catch. Most developers who try this hit a wall: slow inference, out-of-memory errors, or infrastructure that's too complex to maintain. That's where vLLM + Flash Attention changes everything.…