Red and Big Blue – how Red Hat and IBM are strengthening open source for the agentic era

There has always been an argument for using open source software, but as we begin to see a shifting of gears in the way organisations want to deploy agentic AI, some arguments are becoming even more compelling. 

One issue with scaling agentic AI lies with budget constraints when it comes high token usage for proprietary frontier model APIs. Then, of course open-source software enables organisations to run enterprise data, custom tools and proprietary code on premises or in private clouds to protect model weights and datasets. 

Open codebases and open weights also make it easier for inhouse compliance and security teams to see how decisions are arrived at and to check for vulnerabilities. 

OpenShift 5 is designed to make agents behave

Just prior to KubeCon North America getting under way, Red Hat leadership took the time to brief press and analysts. Mike Barrett, Red Hat VP, Hybrid Cloud Platforms began by showcasing OpenShift 5:

[It] is designed to make sure agents behave how…