By by Brian T. Horowitz Twitter
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How AI Impacts Virtualization Needs
Integrating AI and automation with virtualization allows health systems to gain visibility into their data and manage it.
Health systems such as Mary Washington Healthcare in Fredericksburg, Va., have deployed VCF to gain visibility across IT operations. Mary Washington plans to automate its vCenter virtual machines with VCF Automation.
As health systems leverage AI as part of their virtualization strategy, they will experience a learning curve, according to Sachin Mullick, director of product management for OpenShift Virtualization and OpenShift Edge at Red Hat.
“Built-in generative AI assistants from the virtualization provider can significantly reduce the learning curve for these new technologies while providing troubleshooting assistance to solve hard problems in minutes,” Mullick says.
Health systems can use AI to detect sensitive patient health information and control access to sensitive data while also preventing leakage, he adds.
READ MORE: Meet the demand for modern data centers in healthcare.
“Integrating applications with proper sovereignty controls and data management tools is providing an improved patient experience,” Mullick says.
Miller says full-stack virtualization and full-stack automation can be considered “almost table stakes” when it comes to running AI workloads, including large language models.
“In a modern platform, you have to have both VMs and Kubernetes workloads supported on top of the…
