SrSSKJr SSKJr SSKJr SSKJr SSKJr \R\R"\RR\RR5"SS\R555rg ) z'The command group for the profiles CLI.)absolute_import)division)unicode_literals)base)utilc0\rSrSrSr\R rSrg)Profilesa[Quickstart engine for GKE AI workloads. The GKE Inference Quickstart helps simplify deploying AI inference on Google Kubernetes Engine (GKE). It provides tailored profiles based on Google's internal benchmarks. Provide inputs like your preferred open-source model (e.g. Llama, Gemma, or Mistral) and your application's performance target. Based on these inputs, the quickstart generates accelerator choices with performance metrics, and detailed, ready-to-deploy profiles for compute, load balancing, and autoscaling. These profiles are provided as standard Kubernetes YAML manifests, which you can deploy or modify. To visualize the benchmarking data that support these estimates, see the accompanying Colab notebook: https://colab.research.google.com/github/GoogleCloudPlatform/kubernetes-engine-samples/blob/main/ai-ml/notebooks/giq_visualizations.ipynb N) __name__ __module__ __qualname____firstlineno____doc__rSDK_TOOLS_CATEGORYcategory__static_attributes__r -lib/surface/container/ai/profiles/__init__.pyr r s  $ $(rr N)r __future__rrrgooglecloudsdk.callioper#googlecloudsdk.command_lib.projectsrUniverseCompatible ReleaseTracks ReleaseTrackALPHAGAGroupr r rrrsl .&'(4D%%++T->->-A-AB%tzz%C%r