Choosing between storage mechanisms for ML inferencing with AWS Lambda
AWS FeedChoosing between storage mechanisms for ML inferencing with AWS Lambda This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based…