Researchers from the University of Washington Introduce Fiddler: A Resource-Efficient Inference Engine for LLMs with CPU-GPU Orchestration

Mixture-of-experts (MoE) models have revolutionized artificial intelligence by enabling the dynamic allocation of tasks to specialized components within larger models. However, a major challenge in adopting MoE models is their deployment in environments with limited computational resources. The vast size of these models often surpasses the memory capabilities of standard GPUs, restricting their use in […]

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