Have you ever wondered how high-performance LLM deployment frameworks like vLLM, TensorRT-LLM, or Hugging Face TGI actually optimize model serving? While you wait for tokens to stream into your chat window, the infrastructure under the hood is executing a fragile balancing act: scheduling prompt pre-computation, paging memory segments, verifying speculative token chains, and dodging system-stalling bottleneck crashes. To teach you how LLMs are deployed, optimized, and served under high concur...