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Evaluating Inference Compute for Generative AI: A Framework for Enterprise Workloads

Ali, Abbas Raza et al.
arXiv (All) · Papers
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and-cluster-computingdistributedhardware-architecturemachine-learningparallelperformance
LLM deployment is shifting from single-turn completion to agentic trajectories in which a model plans, calls tools, reads results and reasons at test time before acting. This inverts the economics of inference hardware: chat serving amortises weight reads across large batches, whereas agent trajecto
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