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Adaptation of Language Pairs in Kubernetes GPU Nodes

Language Weaver Edge is deployed in Kubernetes as pods, running on standard CPU nodes. Translation Engine pods & Training Engine pods could optionally be deployed in Kubernetes on nodes with Nvidia Tesla GPUs. Helm charts provided by RWS will try to deploy Training Engines & Translation Engines on nodes with Nvidia Tesla GPUs if detected & specified in the “values.yaml”. No pods are scheduled on Kubernetes GPU nodes by default, unless specified in the “values.yaml”.
For Training Engines, GPU deployment offers significant speed gains versus CPU deployment (up to 10x faster).
Supported GPU Platforms
  1. The current release of Language Weaver Edge supports only Nvidia Tesla GPUs.
Supported Nvidia Tesla Drivers
  1. https://confluence.sdl.com/display/AIP/About+NVidia+drivers

Configuration
  1. Adding below under Training Engine or Translation Engine Stateful Set configuration in “values.yaml” will force the helm deployment to use GPU nodes to deploy Training Engine or Translation Engine pods.
gpu: true