MegaFlux Skew-Resilient MoE Megakernels
MegaFlux solves a critical bottleneck in MoE systems by dynamically replicating experts to balance GPU load while minimizing communication overhead. The pipelining approach hides 56-76% of replica-weight transfer costs in forward passes and 91-100% in backward passes, representing a significant efficiency gain for large-scale AI training. Developers working with MoE architectures can implement this solution through TensorRT-LLM's CuTeDSL to achieve substantial performance improvements without architectural changes.
