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cs.LG2025
On Evaluating Performance of LLM Inference Serving Systems
Amey Agrawal, Nitin Kedia, Anmol Agarwal +5
The rapid evolution of Large Language Model (LLM) inference systems has yielded significant efficiency improvements. However, our systematic analysis reveals that current evaluatio…
cs.LG2025
Maya: Optimizing Deep Learning Training Workloads using GPU Runtime Emulation
Srihas Yarlagadda, Amey Agrawal, Elton Pinto +6
Training large foundation models costs hundreds of millions of dollars, making deployment optimization critical. Current approaches require machine learning engineers to manually c…