This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Model Deployment: vLLM, TGI, ONNX, Quantization, GPU Optimization Introduction Deploying large language models for production inference requires specialized infrastructure. Unlike traditional ML models, LLMs demand gigabytes of GPU memory, specialized attention kernels, and careful batching strategies to achieve acceptable throughput. This article covers the major deployment frameworks and optimization techniques.…