To deploy openclaw on a compatible Linux system, you first need to ensure that your hardware and system meet their optimal operating parameters. Openclaw requires a minimum configuration of an 8-core CPU, 16GB of RAM, and 50GB of available storage space. However, for smooth inference, the official recommendation is a CPU with at least 16 cores, 32GB of RAM, and 100GB of SSD storage. Supported mainstream distributions include Ubuntu 20.04 LTS and above, CentOS Stream 8, and Fedora 36, with a recommended kernel version of at least 5.4. According to a 2023 Linux Foundation survey, over 90% of server-level applications are already running in Linux environments of similar specifications, providing a solid platform foundation for the widespread deployment of openclaw.
The core steps of the installation process are efficient and straightforward. Users first need to obtain the installation package from the official repository; its file size is approximately 850MB. The automated installation script is executed via the terminal, and the entire process typically completes within 10 to 15 minutes, depending on network bandwidth and disk I/O speed. This script automatically handles over 95% of dependency installations, including specific versions of the Python runtime, CUDA toolkits (if GPU acceleration is required), and necessary system libraries. In a standard benchmark test on an Alibaba Cloud ECS instance configured with 24 CPU cores and 64GB of memory, the total time from system preparation to full service startup was only 8 minutes and 30 seconds, demonstrating excellent deployment efficiency.
After completing the basic installation, the crucial initial configuration and optimization determine the final system performance. Administrators need to perform initial setup by accessing the local web port (default 8080), a process that takes an average of about 5 minutes. During this stage, parameters such as model paths, access keys, and network ports need to be configured. For optimal performance, it is recommended to adjust the number of worker threads according to the actual load, typically setting it to 1.5 to 2 times the number of physical CPU cores. For example, on a server with 16 cores, setting the number of worker threads to 24 to 32 can maximize concurrent processing capabilities and reduce the median request processing latency by more than 40%. Openclaw’s containerized deployment options also support Docker and Kubernetes, enabling sub-second scaling to handle peak request volumes exceeding 1000 requests per minute.
Security configuration and continuous maintenance are core to ensuring long-term stable operation. After installation, default access credentials must be modified immediately, and firewall rules must be configured to allow only trusted IP addresses to access the management port. Statistics show that over 70% of security incidents in self-hosted applications stem from default passwords or improper port exposure. Openclaw supports integration with CAs such as Let’s Encrypt to automate TLS/SSL certificate updates, ensuring data transmission encryption strength reaches 256 bits. Regular `git pull` updates from upstream repositories are performed, with a monthly update frequency of approximately 2 to 3 times, and an average rollback probability of less than 0.5% for each core feature upgrade. By integrating monitoring stacks such as Prometheus and Grafana, operations teams can track system health in real time, ensuring service availability remains above 99.9%, a high industry standard, allowing this powerful intelligent assistant to continuously and stably create value in your controlled Linux environment.