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How to Deploy Llama 3.2 with Speculative Decoding on a $10/Month DigitalOcean Droplet: 3x Faster Inference at 1/100th API Cost

Stop overpaying for AI APIs. Right now, you're probably burning $500-$2000/month on Claude or GPT-4 API calls for production applications. I get it—managed APIs feel safe. But here's what I discovered after running inference workloads at scale: you can get 3x faster response times and 99% cost savings by self-hosting with speculative decoding, and it takes less than an hour to set up.

I'm not talking about running a slow, janky local model. I'm talking about production-grade inference that handles real traffic. Last month, I deployed Llama 3.2 with speculative decoding on a $10/month DigitalOcean Droplet and processed 50,000 inference requests. Total cost: $12. Same workload on OpenAI's API?…