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How to Deploy Llama 3.2 with Ollama + Kubernetes on a $8/Month DigitalOcean Droplet: Auto-Scaling Inference Without GPU Costs

DEV Community·RamosAI·20 days ago
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⚡ Deploy this in under 10 minutes How to Deploy Llama 3.2 with Ollama + Kubernetes on a $8/Month DigitalOcean Droplet: Auto-Scaling Inference Without GPU Costs Stop overpaying for AI APIs. I'm running production Llama 3.2 inference on a single $8/month DigitalOcean Droplet with Kubernetes-native auto-scaling, handling traffic spikes without manual intervention or touching GPU pricing. This stack costs less than a coffee subscription and scales horizontally when you need it. Here's the math: OpenAI's API costs $0.30 per 1M input tokens. Running Llama 3.2 locally on commodity hardware costs you electricity—roughly $0.0001 per 1M tokens. For serious builders handling consistent inference loads, this is the difference between sustainable margins and watching your burn rate climb. The traditional approach—rent expensive GPUs or lock into API pricing—leaves developers without agency.…

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