Add some NVIDIA platform support docs and scripts

* Add a README for chatqna deployment on NV GPU
* Add some scripts for easier deployment, which includes GMC
installation and uninstallation, chatqna pipeline deployment on
NVIDIA GPU platform.

Signed-off-by: PeterYang12 <[email protected]>

scripts/nvidia/README.md

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+# QuickSatrt Guide
+Ver: 1.0  
+Last Update: 2024-Aug-21  
+Author: [PeterYang12](https://github.com/PeterYang12)
+E-mail: [email protected]
+
+This document is a quickstart guide for GenAIInfra deployment and test on NVIDIA GPU platform.
+
+## Prerequisite
+
+GenAIInfra uses Kubernetes as the cloud native infrastructure. Please follow the steps below to prepare the Kubernetes environment.
+
+#### Setup Kubernetes cluster
+
+Please follow [Kubernetes official setup guide](https://github.com/opea-project/GenAIInfra?tab=readme-ov-file#setup-kubernetes-cluster) to setup Kubernetes. We recommend to use Kubernetes with version >= 1.27.
+
+
+#### To run GenAIInfra on NVIDIA GPUs
+
+To run the workloads on NVIDIA GPUs, please follow the steps.
+
+1. Please check the [support matrix](https://docs.nvidia.com/ai-enterprise/latest/product-support-matrix/index.html) to make sure that environment meets the requirements.
+
+2. [Install the NVIDIA GPU CUDA driver and software stack](https://developer.nvidia.com/cuda-downloads).
+
+3. [Install the NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
+
+4. [Install the NVIDIA GPU device plugin for Kubernetes](https://github.com/NVIDIA/k8s-device-plugin).
+
+5. [Install helm](https://helm.sh/docs/intro/install/)
+
+NOTE: Please make sure you configure the appropriate container runtime based on the type of container runtime you installed during Kubernetes setup.
+
+## Usages
+
+#### Use GenAI Microservices Connector (GMC) to deploy and adjust GenAIExamples on NVIDIA GPUs
+
+
+#### 1. Install the GMC Helm Chart
+***NOTE***: Before installingGMC, please export your own huggingface tokens, Google API KEY and Google CSE ID. If you have pre-defined directory to save the models on you cluster hosts, please also set the path.
+```
+export YOUR_HF_TOKEN=<your hugging facetoken>
+export YOUR_GOOGLE_API_KEY=<your google api key>
+export YOUR_GOOGLE_CSE_ID=<your google cse id>
+export MOUNT_DIR=<your model path>
+```
+
+Here also provides a simple way to install GMC using helm chart `./install-gmc.sh`
+> WARNING: the install-gmc.sh may fail due to OS distributions.
+
+For more details, please refer to [GMC installation](https://github.com/opea-project/GenAIInfra/blob/main/microservices-connector/README.md) to get more details.
+
+#### 2.Use GMC to compose a ChatQnA Pipeline
+Please refer to [Usage guide for GMC](https://github.com/opea-project/GenAIInfra/blob/main/microservices-connector/usage_guide.md) for more details.
+
+Here provides a simple script to use GMC to compose ChatQnA pipeline.
+
+
+#### 3. Test ChatQnA service
+Please refer to [GMC ChatQnA test](https://github.com/opea-project/GenAIInfra/blob/main/microservices-connector/usage_guide.md#use-gmc-to-compose-a-chatqna-pipeline)
+Here provides a simple way to test the service. `./gmc-chatqna-test.sh`
+
+#### 4. Delete ChatQnA and GMC
+```
+kubectl delete ns chatqa
+./delete-gmc.sh
+```
+
+
+## FAQ and Troubleshooting
+The scripts are only tested on baremental **Ubuntu22.04** with **NVIDIA H100**. Please report an issue if you meet any issue.

scripts/nvidia/delete-gmc.sh

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+#!/usr/bin/env bash
+set -e
+
+SCRIPT_DIR=$(cd $(dirname "${BASH_SOURCE[0]}") && pwd)
+cd $SCRIPT_DIR && cd ../../
+GenAIInfra_DIR=$(pwd)
+cd $GenAIInfra_DIR/microservices-connector
+
+# kubectl delete -k config/samples/
+helm delete -n system gmc
+kubectl delete crd gmconnectors.gmc.opea.io

scripts/nvidia/gmc-chatqna-pipeline.sh

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+#!/usr/bin/env bash
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+set -e
+
+SCRIPT_DIR=$(cd $(dirname "${BASH_SOURCE[0]}") && pwd)
+cd $SCRIPT_DIR && cd ../../
+GenAIInfra_DIR=$(pwd)
+cd $GenAIInfra_DIR/microservices-connector/
+
+# TODO: to support more examples
+kubectl create ns chatqa
+kubectl apply -f $(pwd)/config/samples/chatQnA_nv.yaml
+
+sleep 2
+kubectl get service -n chatqa
+kubectl create deployment client-test -n chatqa --image=python:3.8.13 -- sleep infinity

scripts/nvidia/gmc-chatqna-test.sh

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+#!/usr/bin/env bash
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+set -e
+
+CLIENT_POD=$(kubectl get pod -n chatqa  -l app=client-test -o jsonpath={.items..metadata.name})
+accessUrl=$(kubectl get gmc -n chatqa -o jsonpath="{.items[?(@.metadata.name=='chatqa')].status.accessUrl}")
+
+kubectl exec "$CLIENT_POD" -n chatqa -- curl $accessUrl  -X POST  -d '{"text":"What is the revenue of Nike in 2023?","parameters":{"max_new_tokens":17, "do_sample": true}}' -H 'Content-Type: application/json'

scripts/nvidia/install-gmc.sh

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+#!/usr/bin/env bash
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+set -e
+
+SCRIPT_DIR=$(cd $(dirname "${BASH_SOURCE[0]}") && pwd)
+cd $SCRIPT_DIR && cd ../../
+GenAIInfra_DIR=$(pwd)
+cd $GenAIInfra_DIR/microservices-connector/helm
+
+if [ -n "$YOUR_HF_TOKEN" ]; then
+    find manifests_common/ -name '*.yaml' -type f -exec sed -i "s#insert-your-huggingface-token-here#$YOUR_HF_TOKEN#g" {} \;
+fi
+
+if [ -n "$YOUR_GOOGLE_API_KEY" ]; then
+    find manifests_common/ -name '*.yaml' -type f -exec sed -i "s#GOOGLE_API_KEY:.*#GOOGLE_API_KEY: "$YOUR_GOOGLE_API_KEY"#g" {} \;
+fi
+
+if [ -n "$YOUR_GOOGLE_CSE_ID" ]; then
+    find manifests_common/ -name '*.yaml' -type f -exec sed -i "s#GOOGLE_CSE_ID:.*#GOOGLE_CSE_ID: "$YOUR_GOOGLE_CSE_ID"#g" {} \;
+fi
+
+
+if [ -n "$MOUNT_DIR" ]; then
+    find manifests_common/ -name '*.yaml' -type f -exec sed -i "s#path: /mnt/opea-models#path: $MOUNT_DIR#g" {} \;
+fi
+
+# install GMC helm chart
+helm install -n system --create-namespace gmc .
+sleep 2
+kubectl get pod -n system