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Copy file name to clipboardExpand all lines: cloud-infrastructure/ai-infra-gpu/GPU/triton-gpu-oke/README.md
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@@ -4,11 +4,11 @@ This repository intends to demonstrate how to deploy NVIDIA Triton Inference Ser
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# Pre-requisites
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You have access to an Oracle Cloud Tenancy.
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You have access to shapes with NVIDIA GPU such as A10 GPU's (i.e VM.GPU.A10.1).
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You have a [container registry](https://docs.oracle.com/en-us/iaas/Content/Registry/home.htm).
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You have an [Auth Token](https://docs.oracle.com/en-us/iaas/Content/Registry/Tasks/registrypushingimagesusingthedockercli.htm#Pushing_Images_Using_the_Docker_CLI) to push/pull images to/from the registry.
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You are familiar with Kubernetes and Helm basic terminology.
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*You have access to an Oracle Cloud Tenancy.
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*You have access to shapes with NVIDIA GPU such as A10 GPU's (i.e VM.GPU.A10.1).
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*You have a [container registry](https://docs.oracle.com/en-us/iaas/Content/Registry/home.htm).
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*You have an [Auth Token](https://docs.oracle.com/en-us/iaas/Content/Registry/Tasks/registrypushingimagesusingthedockercli.htm#Pushing_Images_Using_the_Docker_CLI) to push/pull images to/from the registry.
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*You are familiar with Kubernetes and Helm basic terminology.
Here is the target architecture at the end of the deployment:
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[Architecture Diagram](architecture-diagram.png)
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At this stage, your container is ready and uploaded to your Oracle Registry. It is now time to bring everything together in Oracle Kubernetes Engines (OKE)
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