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Running Language Weaver Edge on Kubernetes

Language Weaver Edge could easily be deployed in Kubernetes & the deployment architecture is similar to an on-prem Windows/Linux deployment. Helm charts and sample “values.yaml” files are provided by RWS for easy deployment. Kubernetes GPU nodes are preferred for Training Engines.
 
Minimum requirement
  1. Kubernetes cluster with node CPU/RAM totalling up to the minimum requirement.
    e.g. AKS, EKS, GKE
  2. Autoscaling is enabled in Kubernetes cluster. (optional)
  3. Ingress controller to access Kubernetes services.
    e.g. NGINX
  4. Storage classes in Kubernetes that support both RWO & RWX volume types.