Red Hat Blog Using RHEL confidential virtual machines to protect AI workloads on Microsoft Azure

Artificial intelligence (AI) workloads are revolutionizing the industry, impacting healthcare, finance services, national security and autonomous systems. As part of this revolution, organizations are increasingly moving their AI workloads to the cloud, taking advantage of its scalability, flexibility and cost-effectiveness. Of course this transition to the cloud brings new challenges around data privacy, intellectual property and regulation compliance. Existing virtual machines (VMs) provide isolation between workloads, but they cannot protect workloads from privileged users and software com