AWS engineers share kernel optimizations for fused Mixture-of-Experts (MoE) models on Amazon SageMaker AI: Swap-AB for WGMMA utilization, Triton backend routing for FP8 quantization, and eliminating Triton JIT recompilation. Together they deliver up to 10% higher throughput and up to 9% faster Time to First Token on H200 GPUs.
Mixture-of-Experts kernel engineering on Amazon SageMaker AI
Publication summary. The terms of AWS Machine Learning do not allow reproduction of the full article: read the complete text on the original website.
Source summary (English)
Read the full article
aws.amazon.com