"The goal is to create a complete and efficient AI and ML development and delivery operational pipeline (AI/MLOps) with supporting services for sensor programs within PEO IEW&S while managing cost, schedule, risk and performance," according to a request for information.
It's not always feasible for businesses to have dedicated hardware and IT teams for development programs. That's when it becomes necessary to combine multiple workload types and deployment methodologies — containerized workloads and virtualized machines, for example.
Red Hat OpenShift Virtualization, a feature of Red Hat OpenShift, supports both container orchestration and virtualization, enabling the consolidation of services and support. Download this solution brief to see how it can provide your organization with a path to modernization as part of a unified hybrid cloud platform. View: Maximizing development with OpenShift Virtualization
Comments
Post a Comment