Characteristics of AI/ML Workloads

Characteristics of AI/ML Workloads An architecture diagram generated by Archify. Resource Intensive · significant compute resources · AI/ML Workload Characteristics Resource Intensive significant compute resources Data Intensive · fast access to large datasets · AI/ML Workload Characteristics Data Intensive fast access to large datasets Distributed Processing · training across multiple nodes · AI/ML Workload Characteristics Distributed Processing training across multiple nodes Workload Diversity · various workload types · AI/ML Workload Characteristics Workload Diversity various workload types Batch and Real-time Processing · batch jobs + real-time inference · AI/ML Workload Characteristics Batch and Real-time Processing batch jobs + real-time inference GPU Acceleration · Resource Requirements GPU Acceleration Large Memory · Resource Requirements Large Memory High-Performance CPU · Resource Requirements High-Performance CPU High-Speed Network · Resource Requirements High-Speed Network Model Training · Workload Types Model Training Model Inference · Workload Types Model Inference Data Preprocessing · Workload Types Data Preprocessing Hyperparameter Optimization · HPO · Workload Types Hyperparameter Optimization HPO as required includes AI/ML Workload Characteristics Resource Requirements Workload Types Legend Workload characteristic Resource requirement Workload type