Red Hat changed. The company that we thought of back in the 1990s was thought of as an open source operating system and software development tools purist, with a hard-core geek following that had a penchant for late-night coding sessions, soda and pizza. But Red Hat grew… and throughout the post-millennial years the company became known for its ‘composable’ computing capabilities, perhaps even before we started talking about cloud containerization and orchestration.
“Having witnessed the growth of open source for many years, we now believe in the power of openness throughout – from open licensing, to open data and open contributions – but the ability to contribute to a model has yet to be solved and barriers do doing a fine tune to these models are too high and Red Hat wants to address this.
If we consider the announcement of a new Common Vulnerability and Exploit : Red Hat Enterprise Lightspeed could flag this alert to an administrator and tell them that a Red Hat Security Advisory has been released with fixes. It can then alert the user that some affected machines are in production and should not be taken down, but that updates can be applied to affected development and staging systems.
How does this technology work? To explain, first we need to remind ourselves that Graphical Processing Units are the compute engines driving AI workflows, enabling model training, inference and prototyping processes designed to drive experimentation. So GPUs are super powerful, but expensive, particularly when used across distributed computing training jobs and inferencing.