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This document provides a complete, end-to-end deployment guide for setting up the server on AWS EC2, including instance provisioning, storage configuration, OSWorld image preparation, and server launch.

Config EC2 Instances

Launch EC2 Instances

Navigate to: AWS Console → EC2 → Instances → Launch an instance

aws_ec2_1 aws_ec2_2

Networking & Security Group

Allow all inbound ports from trusted IPs

Set up EC2 Instances

Connect to the Instance

ssh ubuntu@ip

Docker Installation

curl -fsSL https://get.docker.com -o install-docker.sh
sudo sh install-docker.sh

Enable Docker for Non-root User

sudo usermod -aG docker ubuntu
newgrp docker

Python Environment Setup (Miniconda)

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
source ~/.bashrc

Upload Server Code

Upload the server.py, gunicorn.conf.py and requirements.txt files

Install Dependencies

pip install -r requirements.txt

Download Environment Image and unzip

sudo mkdir -p /srv/share/osworld-images/scienceboard

wget -c "https://huggingface.co/datasets/xuetianci99/ACuRL_files/resolve/main/Ubuntu2.qcow2.zip"
wget -c "https://huggingface.co/datasets/xuetianci99/ACuRL_files/resolve/main/Ubuntu2_scienceboard.qcow2.zip"

Unzip files and put the images into corresponding paths

/srv/share/osworld-images/
├── Ubuntu2.qcow2
└── scienceboard/
    └── Ubuntu2.qcow2

System Limits and Kernel Tuning

sudo nano /etc/sysctl.conf

Append:

fs.file-max = 2147480000
fs.inotify.max_user_instances = 131072
fs.inotify.max_user_watches = 1048576

Apply:

sudo sysctl -p

Launch the Server

gunicorn -c gunicorn.conf.py server:app > tmp.txt 2>&1

List all the environments

curl -X POST http://IP:10473/list_all \
  -H "Content-Type: application/json" \
  -d '{"token": "3eb40e28-8f12-4b95-b9dd-743ea98334a9"}' \
  | jq '.containers | length'

Stop all the environments

curl -X POST http://IP:10473/stop_all \
  -H "Content-Type: application/json" \
  -d '{"token": "3eb40e28-8f12-4b95-b9dd-743ea98334a9"}' \
  | jq

Create one environments

curl -X POST http://IP:10473/launch \
  -H "Content-Type: application/json" \
  -d '{
    "token": "3eb40e28-8f12-4b95-b9dd-743ea98334a9",
    "image": "scienceboard"
  }'