Compiling LLMs into a MegaKernel: A Path to Low-Latency Inference
One of the most effective ways to reduce latency in LLM inference is to fuse all computation and communication into a single megakernel — also known as a persistent kernel. In this design, the system launches just one GPU kernel to execute the entire model — from layer-by-layer computation to inter-GPU communication — without interruption. This approach offers several key performance advantages: Eliminates kernel launch overhead, even in multi-GPU settings, by avoiding repeated kernel invocatio