68% of teams deploying multimodal AI models fail to hit production latency SLAs within 3 months of launch, wasting an average of $42k per failed initiative on idle GPU resources and engineer hours. This tutorial eliminates that risk: you’ll build a production-ready Llama 3.2 Vision deployment on ECS 4.0 with FastAPI 0.112, backed by benchmark-verified p99 latency under 400ms for 512x512 image + 128 token text prompts, at 1/3 the cost of equivalent Lambda deployments. 📡 Hacker News Top Stories Right Now .de TLD offline due to DNSSEC? (562 points) Telus Uses AI to Alter Call-Agent Accents (52 points) Agents can now create Cloudflare accounts, buy domains, and deploy (13 points) Accelerating Gemma 4: faster inference with multi-token prediction drafters (485 points) Write some software, give it away for free (165 points) Key Insights Llama 3.2 11B Vision achieves 387ms p99 inference latency for 512x512 image + 128 token prompt on NVIDIA T4 GPUs when served via FastAPI 0.112 with optimized ONNX Runtime 1.18…