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Microsoft’s DeepSpeed-MoE Makes Massive MoE Model Inference up to 4.5x Faster and 9x Cheaper
Jan. 18, 2022, 2:36 p.m. | Synced
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A Microsoft research team proposes DeepSpeed-MoE, comprising a novel MoE architecture design and model compression technique that reduces MoE model size by up to 3.7x and a highly optimized inference system that provides 7.3x better latency and cost compared to existing MoE inference solutions.
The post Microsoft’s DeepSpeed-MoE Makes Massive MoE Model Inference up to 4.5x Faster and 9x Cheaper first appeared on Synced.
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