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How to Deploy Llama 3.2 70B with vLLM + Quantization on a $12/Month DigitalOcean GPU Droplet: Enterprise Inference at 1/110th Claude Cost

Stop overpaying for Claude API calls. I'm about to show you how to run a 70-billion parameter model—one of the most capable open-source LLMs available—for $12 a month in compute costs. No vendor lock-in. No per-token pricing that scales with your success. Just raw inference power that you control.

Here's the math that made me build this: Claude 3.5 Sonnet costs $3 per million input tokens and $15 per million output tokens. A typical production workload processing 10 million tokens daily costs roughly $150/month. The setup I'm showing you costs $12/month for the GPU, plus maybe $5 for storage. That's a 12x cost reduction, and you're running on hardware you own.

The secret?…