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Throughput evaluates the processing capacity of a Large Language Model as an efficiency metric.
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Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
Ch.4 Platform Adaptation and Performance Evaluation - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
Agentic Workload Serving and Cross-Hardware Performance - Edge-Native Mixture-of-Experts Serving with FreeToken @ University of Michigan - Ann Arbor
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A company's AI-powered customer support system experiences significant slowdowns during peak traffic times. The system can only process a limited number of user queries simultaneously, creating a bottleneck. To address this, the primary goal is to increase the number of queries the model can handle per second. Which of the following actions would most directly improve this specific performance metric?
Throughput evaluates the processing capacity of a Large Language Model as an efficiency metric.
Which two units are typically counted on a per-second basis to quantify the throughput of a Large Language Model?