⚡ Deploy this in under 10 minutes How to Deploy Llama 3.2 Multimodal with TensorRT-LLM on a $20/Month DigitalOcean GPU Droplet: 4x Faster Vision+Text at 1/100th GPT-4 Turbo Cost Stop overpaying for AI APIs. Your company is probably burning $500-2000/month on Claude Vision or GPT-4 Turbo calls when you could run production-grade multimodal inference for the cost of a coffee subscription. I'm not talking about toy models. I mean Llama 3.2 Vision—the same multimodal architecture that powers Meta's reasoning—compiled with TensorRT-LLM kernel optimizations running on a bare-metal GPU for $20/month. Real image understanding. Real text reasoning. Real inference that hits 4x faster than unoptimized deployments. Last week, I deployed this exact stack for a client processing 10,000 product images daily. Their previous solution: Claude Vision API at $0.03 per image = $300/day. New cost: $0.0012 per image on self-hosted infrastructure = $12/day. Same accuracy. 96% cost reduction. This isn't theoretical.…