Sub-100ms Inference: Optimizing LLM Serving with vLLM, TensorRT-LLM, & Speculative Decoding

Deep dive into state-of-the-art serving runtimes. Compare continuous batching strategies, KV-cache quantization, speculative sampling, and hardware-specific kernel optimizations to minimize latency and slash cloud spend.