doc: add doc about development on cloud or runpod

docs/source/dev-on-cloud/build-image-to-dockerhub.md

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+(build-image-to-dockerhub)=
+
+# Build the TensorRT-LLM Docker Image
+When you develop trt-llm on cloud platform such as runpod, you may need to provide a docker image for the platform. So you firstly need to upload the image to dockerhub.
+
+## Build the TensorRT-LLM Docker Image and Upload to DockerHub
+
+```bash
+make -C docker build
+```
+Then we can get the docker image named `tensorrt_llm/devel:latest`
+
+### Enable ssh access to the container
+Since the default docker image doesn’t have ssh support, we can’t ssh into it. We need to add ssh support to the container.
+Let’s first create a new Dockerfile with below content:
+
+```Dockerfile
+FROM tensorrt_llm/devel:latest
+
+RUN apt update && apt install openssh-server -y
+RUN mkdir -p /run/sshd && chmod 755 /run/sshd
+RUN mkdir -p /root/.ssh && chmod 700 /root/.ssh && touch /root/.ssh/authorized_keys && chmod 600 /root/.ssh/authorized_keys
+# add sshd to entrypoint script
+RUN echo "sshd -E /opt/sshd.log" >> /opt/nvidia/entrypoint.d/99-start-sshd.sh
+```
+
+If we save this Dockerfile as `Dockerfile.ssh`. Then we can build the docker image with below command:
+
+```bash
+docker build -t tensorrt_llm/devel:with_ssh -f Dockerfile.ssh .
+```
+
+Then we can get the docker image named `tensorrt_llm/devel:with_ssh`
+
+## Upload the Docker Image to DockerHub
+
+You need to register a [dockerhub](https://hub.docker.com) account first if you don't have one.
+
+Then you can click 'Personal Access Tokens' in the user menu and create a new token.
+
+With the token, you can login to dockerhub with below command:
+
+```bash
+docker login -u <your_dockerhub_username>
+```
+
+Enter the token to the console.
+
+After login, you can tag and push the docker image to dockerhub with below command:
+
+```bash
+docker tag tensorrt_llm/devel:with_ssh <your_dockerhub_username>/tensorrt_llm:devel
+docker push <your_dockerhub_username>/tensorrt_llm:devel
+```
+
+Finally, you can see the docker image in your dockerhub repository and can use it with the link such as `docker.io/<your_dockerhub_username>/tensorrt_llm:devel`.

docs/source/dev-on-cloud/dev-on-runpod.md

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+(dev-on-runpod)=
+
+# Develop TensorRT-LLM on Runpod
+[Runpod](https://runpod.io) is a popular cloud platform among many researchers. This doc describes how to develop TensorRT-LLM on Runpod.
+
+## Prepare
+
+### Create a Runpod account
+Please refer to the [Runpod Getting Started](https://docs.runpod.io/get-started/).
+
+### Configure SSH Key
+Please refer to the [Configure SSH Key](https://docs.runpod.io/pods/configuration/use-ssh).
+
+Note that we can skip the step of "Start your Pod. Make sure of the following things" here as we will introduce it below.
+
+## Build the TensorRT-LLM Docker Image and Upload to DockerHub
+Please refer to the [Build Image to DockerHub](build-image-to-dockerhub.md).
+
+Note that the docker image must enable ssh access. See on [Enable ssh access to the container](build-image-to-dockerhub.md#enable-ssh-access-to-the-container).
+
+## Create a Pod Template
+Click "Template" bottom on the menus and click "Create Template" bottom.
+
+Fill the docker image link of DockerHub such as `docker.io/<your_dockerhub_username>/tensorrt_llm:devel` on "Docker Image" field.
+
+Fill "22" into "Expose TCP Ports" field.
+
+Fill
+```bash
+sleep infinity
+```
+into 'Container Start Command' field.
+
+## Connect to the Pod
+Please refer to the [Connect to the Pod](https://docs.runpod.io/pods/connect-to-a-pod).
+
+You can connect the pod with SSH or Web Terminal.
+
+If you want to connect the pod with SSH, you can copy the command from "SSH over exposed TCP" field and run it on your host.
+
+In some scenarios such as using a team account, your public key has not been added to the pod successfully. You can directly add this command to the 'Container Start Command' field as:
+
+```bash
+bash -c 'echo "<your_public_key>" >> ~/.ssh/authorized_keys;sleep infinity'
+```
+
+Enjoy your development!