From cceb5e6aa5cc541ef07bfda2853ec73703baea32 Mon Sep 17 00:00:00 2001
From: Sirut Buasai <73297481+sirutBuasai@users.noreply.github.com>
Date: Thu, 8 Jan 2026 20:06:31 -0800
Subject: [PATCH] add AWS SGLang DLC to docs (#16686)

---
 docs/get_started/install.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/get_started/install.md b/docs/get_started/install.md
index 53d10327b..f38f958b6 100644
--- a/docs/get_started/install.md
+++ b/docs/get_started/install.md
@@ -148,6 +148,8 @@ sky status --endpoint 30000 sglang
 
 To deploy on SGLang on AWS SageMaker, check out [AWS SageMaker Inference](https://aws.amazon.com/sagemaker/ai/deploy)
 
+Amazon Web Services provide supports for SGLang containers along with routine security patching. For available SGLang containers, check out [AWS SGLang DLCs](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#sglang-containers)
+
 To host a model with your own container, follow the following steps:
 
 1. Build a docker container with [sagemaker.Dockerfile](https://github.com/sgl-project/sglang/blob/main/docker/sagemaker.Dockerfile) alongside the [serve](https://github.com/sgl-project/sglang/blob/main/docker/serve) script.