More organizations are said to be using Red Hat OpenShift as the foundation for building artificial intelligence (AI) and machine-learning (ML) data science workflows and AI-powered intelligent applications.
The customer momentum seen by Red Hat validates the AI/ML findings from the recent 2020 Red Hat Global Customer Tech Outlook report.
- The report surveyed 876 Red Hat customers on their top IT priorities and found that 30% of respondents plan on using AI/ML over the next 12 months, ranking AI/ML as the top emerging technology workload consideration for companies surveyed in 2020.
- OpenShift helps to provide agility, flexibility, portability and scalability across the hybrid cloud, from cloud infrastructure to edge computing deployments, a necessity for developing and deploying ML models and intelligent applications into production more quickly and without vendor lock-in.
- Red Hat leads the Open Data Hub community project to provide a blueprint for building an AI-as-a-Service platform with Red Hat OpenShift, Red Hat Ceph Storage and more.
Further, Red Hat continues to be an active contributor to the Kubeflow open source community project, which focuses on simplifying ML workflows for Kubernetes while enhancing workload portability and scalability. Kubeflow can now run on OpenShift as documented here, and a Kubeflow Kubernetes Operator is in development to help simplify the deployment and lifecycle management of Kubeflow on OpenShift.