Your ML Platform Isn’t Kubernetes-Native Just Because It Runs on Kubernetes

T2Covered by 1 source · first reported by DevOps.com / Cloud Native Now at 02 Nov, 20:12 UTC

The real transformation begins when the ML lifecycle becomes declarative, observable, and recoverable. As Vara Bonthu described in a recent CNCF article, the great migration of AI workloads to Kubernetes is well underway. Training jobs run in containers, inference services run as Deployments, and…

aiclouddev

Sources

• T2Your ML Platform Isn’t Kubernetes-Native Just Because It Runs on KubernetesDevOps.com / Cloud Native Now02 Nov, 20:12