add AWS SGLang DLC to docs (#16686)
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@@ -148,6 +148,8 @@ sky status --endpoint 30000 sglang
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To deploy on SGLang on AWS SageMaker, check out [AWS SageMaker Inference](https://aws.amazon.com/sagemaker/ai/deploy)
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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)
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To host a model with your own container, follow the following steps:
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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.
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