Open-source powerhouse Red Hat jumped into the generative AI space three months ago, announcing a new AI-focused vision for its Linux operating system at its annual summit. Today, that vision became a reality with the general availability of Red Hat Enterprise Linux AI.
RHEL AI is Red Hat’s solution to the problems enterprises have building and deploying AI across hybrid clouds and the high costs of training and inference.
“Enterprises are seeing sticker shock,” says Andy Thurai, vice president and principal analyst at Constellation Research. Not only is it expensive to train or fine-tune a model, but the cost of actually deploying and using the model in production – the inference costs – can rack up quickly, making the training costs seem trivial in comparison. “Companies are looking for cheaper ways to do it,” Thurai says.
