SGLang doc user flow updates

.pre-commit-config.yaml

@@ -7,6 +7,7 @@ repos:
     -   id: trailing-whitespace
     -   id: end-of-file-fixer
     -   id: check-yaml
+        args: ['--allow-multiple-documents']
     -   id: check-added-large-files
 -   repo: https://github.com/psf/black
     rev: 22.10.0

docs/shortfin/llm/user/e2e_llama8b_k8s.md

@@ -0,0 +1,42 @@
+# LLama 8b GPU instructions on Kubernetes
+
+## Setup
+
+We will use an example with `llama_8b_f16` in order to describe the
+process of exporting a model and deploying four instances of a shortfin llm server
+behind a load balancer on MI300X GPU.
+
+### Pre-Requisites
+
+- Kubernetes cluster available to use
+- kubectl installed on system and configured for cluster of interest
+    - To install kubectl, please check out [kubectl install](https://kubernetes.io/docs/tasks/tools/#kubectl)
+    and make sure to set the `KUBECONFIG` environment variable to point to your kube config file to authorize
+    connection to the cluster.
+
+### Deploy shortfin llama app service
+
+Save [llama-app-deployment.yaml](../../../../shortfin/deployment/shortfin_apps/llm/k8s/llama-app-deployment.yaml) locally and edit it to include your artifacts and intended configuration.
+
+To deploy llama app:
+
+```
+kubectl apply -f llama-app-deployment.yaml
+```
+
+To retrieve external IP for targetting the llama app load balancer:
+
+```
+kubectl get service shark-llama-app-service
+```
+
+Now, you can use the external IP for sglang integration or just sending text generation requests.
+
+### Delete shortfin llama app service
+
+After done using, make sure to delete:
+
+```
+kubectl delete deployment shark-llama-app-deployment
+kubectl delete service shark-llama-app-service
+```