The final output of this intern project would be an end to end use case which will work as a standard for enabling teams to implement data science projects in production. This will result in converting an existing data science project into a consumable and...
Red Hat offers flexible and feature-rich software systems and services. Configuring these systems is a complicated task. For e.g., the configuration file for SSSD service has more than 100 configuration entries with different sub-entries. Currently, in most cases,...
The aim of this project is to automate reproducible AI/ML performance benchmarking on a full stack of Red Hat platform. The benchmarkings of interest are the matrix multiply cuda code mini-benchmark and the MLPerf, which is a suite of fair and useful benchmarks that...
In this demo/workshop you are instructed in how to complete an end to end machine learning application deployed on OpenShift. On top of that the demo also outlines how you can set up Kafka to stream model data as well as how to visualize that data on Prometheus....
The goal of the project is aimed to create fully functional WSN implementation for single board computers (SBC) like RasperryPi. WSN (wireless sensor network) is a network using Wireless standards like WiFi where all active elements act as control points of the...
