/agenda
Sessions: Track D
Benchmarking Machine Learning Workloads on Arm Servers
Benchmarking ML inference is crucial for software developers as it ensures optimal performance and efficiency of machine learning workloads. Attendees will learn how to install and run TensorFlow on their Arm-based cloud servers and utilize the MLPerf Inference benchmark suite from MLCommons to evaluate ML performance.
Schedule
14:25 - 14:55: Benchmarking Machine Learning Workloads on Arm Servers
Sessions: Track D
Benchmarking Machine Learning Workloads on Arm Servers
Benchmarking ML inference is crucial for software developers as it ensures optimal performance and efficiency of machine learning workloads. Attendees will learn how to install and run TensorFlow on their Arm-based cloud servers and utilize the MLPerf Inference benchmark suite from MLCommons to evaluate ML performance.
Schedule
14:25 - 14:55: Benchmarking Machine Learning Workloads on Arm Servers