Mixture-of-Experts kernel engineering on Amazon SageMaker AI
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Gemini Analysis
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.
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- Original reporting published by AWS Machine Learning Blog.
- Focuses on key developments in: Mixture-of-Experts kernel engineering on Amazon SageMaker AI.
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