Kumar Sambhav, Research Computing, NUS Information Technology, on 13 February 2022

MLOps is quickly emerging as a critical component for data science projects at the enterprise level. It helps organisations achieve their short and long term goals and generate value for the organisation. MLOps have become a successful data science strategy and has recently generated a lot of interest.

Kumar Sambhav, Research Computing, NUS Information Technology, on 13 October 2021

Some of the most effort-intensive tasks within the financial services and applications have been managing assets, evaluating levels of risk, calculating credit scores, and even approving loans. The amount of data that has to be scoured, read and understood is humongous and humanly impossible and even if it is done with extensive care, it might not fetch proper results. Machine Learning models thus come in handy for such tasks as, instead of us humans doing the processing, we let computer programs handle it for us.

by Wang Junhong, Research Computing, NUS Information Technology , on 24 September 2020

Each month an intuitive usage profiling of HPC resources will be generated for every HPC user. This will improve user experience and allow users to understand how well their jobs are performing in the aspect of number of jobs completed, waiting time vs running time, parallel speedup performance, efficiency, and memory usage. Such usage profiling data will not only help users to identify room for improvement in either the parallel performance or the memory utilisation of their HPC jobs, but also improve the overall HPC resources utilisation and planning for future expansion. Read on for more details.