The next stages of AI conformance in the cloud-native, open

The next stages of AI conformance in the cloud-native, open

Until recently, running an AI model on Kubernetes was a guessing game. What worked on one cloud provider could fail on another in the face of different GPU drivers, network setups, or autoscaling behaviors. This becomes a big problem as organizations transition from AI in innovation labs to in production.  Standardization of AI workloads on Kubernetes has become an urgent industry priority.  The goal of the Cloud Native Computing Foundation’s (C…