Unlocking Microsecond-Scale Latency: A Deep Dive into IMEX for Multi-GPU Inference
Introduction In the era of trillion-parameter models, the bottleneck for Large Language Model (LLM) inference is rarely raw compute capability alone. As we scale across multiple GPUs using Tensor Parallelism (TP), the dominant latency factor shifts t...
Nov 30, 20255 min read