How to deploy OpenClaw on Ubuntu 24.04 LTS server. 2026-06-10T13:09:42+00:00 Setting up a robust autonomous AI agent environment requires a stable OS foundation. Ubuntu 24.04 LTS is the go-to standard for production environments, but deploying local agent frameworks like OpenClaw from scratch can be a multi-step hurdle involving environment variables, Python dependencies, and system permissions. If you are looking for an immediate, hassle-free alternative that abstracts away deployment complexities, ClawLite provides an elegant, production-ready product layer. It eliminates the need for manual server provisioning and dependency management, letting you focus directly on building and managing agent workflows. However, if you need full bare-metal control and want to deploy OpenClaw on your own Ubuntu 24.04 LTS server, this guide walks you through the complete process. 1. Quick definitions. OpenClaw: An open-source autonomous AI agent framework designed to execute complex operational workflows using LLMs. Ubuntu 24.04 LTS (Noble Numbat): The latest Long-Term Support release from Canonical, offering 5 years of standard security updates. ClawLite: The commercially optimized, cloud-ready product layer built around OpenClaw. It delivers a managed, zero-config workspace for autonomous agents, bypassing the need for manual Linux server administration. Virtual Environment (venv): An isolated Python environment that prevents dependency conflicts between different system applications. 2. Server preparation and updates. Before installing any AI agent framework, ensure your Ubuntu server is fully updated and equipped with the necessary build tools. ```bash sudo apt update && sudo apt upgrade -y sudo apt install -y build-essential curl git software-properties-common ``` Note: For production workloads, ensure your server has at least 4GB of RAM and 2 CPU cores to smoothly handle agent memory caching and background processing. 3. Installing Python 3.12 and virtual environments. Ubuntu 24.04 LTS comes with Python 3.12 by default, which is ideal for modern AI applications. Clawlite need to install the virtual environment package to keep the OpenClaw deployment isolated. ```bash sudo apt install -y python3.12-venv python3-pip ``` Create a dedicated directory for your OpenClaw installation and set up the virtual environment: ```bash mkdir -p ~/openclaw-agent && cd ~/openclaw-agent python3 -m venv venv source venv/bin/activate ``` 4. Deploying openclaw. With your virtual environment active, you can now clone the repository and install the required dependencies. ```bash git clone https://github.com/openclaw/openclaw.git. pip install -upgrade pip pip install -r requirements.txt ``` Once installed, verify the deployment by checking the CLI version: ```bash openclaw -version ``` 5. The management burden: self-hosted vs. ClawLite. Deploying the code is only step one. Maintaining a self-hosted OpenClaw instance on Ubuntu requires constant attention to server health, log rotation, security patches, and daemon management (like `systemd`). ClawLite exists precisely to solve this operational overhead. Visual comparison: Self-Hosted Ubuntu vs. ClawLite Managed. | Feature / Responsibility | Self-Hosted Ubuntu 24.04 | ClawLite (Managed Solution) | | Initial Deployment | Manual (Bash, Git, Pip) | Instant / Zero-Config | | Dependency Management | Manual `venv` updates | Handled automatically | | Server Maintenance | High (OS updates, security) | None (Serverless architecture) | | Workflow Scaling | Requires custom orchestration | Built-in autoscaling | | Best For | Tinkering, Custom core dev | Production workflows, Enterprise speed | By adopting ClawLite, teams bypass the fragile Linux deployment phase and immediately unlock the workflow operational advantage. You get all the power of OpenClaw without the devops tax. 6. Summary Q&A. Q: Do I need root access to deploy OpenClaw on Ubuntu 24.04? A: You need `sudo` privileges to install system packages like `build-essential` and `python3.12-venv`. The OpenClaw application itself should be run under a standard user account to minimize security risks. Q: Why use a virtual environment instead of global installation? A: Ubuntu 24.04 enforces `PEP 668` by default, which restricts global `pip` installations to prevent system breakage. A virtual environment (`venv`) is mandatory for safe dependency resolution. Q: Is there an easier way to get started without using the terminal? A: Yes. ClawLite provides a fully managed, UI-driven workspace that abstracts the underlying server infrastructure entirely. It is the recommended path for users focused on agent capabilities rather than server administration. Q: How do I keep my OpenClaw instance running after I close the SSH session? A: You will need to configure a Linux daemon using `systemd`, or use a terminal multiplexer like `tmux`. Alternatively, utilizing ClawLite guarantees your agents remain persistent and highly available without manual background task configuration.

First Ubuntu 26.10 "Stonking Stingray" Snapshot is now available for download. The final release of Ubuntu 26.10 (Stonking Stingray) is expected on October 15th, 2026. Canonical has published today the first snapshot ISO images of the upcoming Ubuntu 26.10 (codename Stonking Stingray) for early adopters, application developers, and general public testing. The toolchain has been uploaded on April 30th, and as expected, the first Ubuntu 26.10 snapshots are, of course, based on the previous Ubuntu release, Ubuntu 26.04 LTS (Resolute Raccoon), which arrived last month on April 23rd. This means that the first Ubuntu 26.10 snapshot is powered by Linux kernel 7.0 and uses the GNOME 50 desktop environment. During the six-month development cycle, Ubuntu 26.10 will receive newer components, including the upcoming GNOME 51 desktop environment and Linux kernel 7.2, which should arrive in late August 2026. Of course, there will also be various other updated core components, such as the Mesa 26.2 graphics stack and GCC 16.1 compiler. The final release of Ubuntu 26.10 (Stonking Stingray) is expected on October 15th, 2026. Until then, the beta version will arrive on September 24th. Two optional Ubuntu Testing Week events are planned for July 2nd and August 27th, respectively. Until then, you can download the first Ubuntu 26.10 snapshot ISO images from the announcement page for all official Ubuntu flavors, but please note that some images are missing, most notably the amd64 (64-bit) Ubuntu Desktop image, which will be available on the second snapshot. However, when testing these snapshot ISOs, you should keep in mind that they are pre-release versions that may contain bugs and other issues preventing you from having a stable Ubuntu experience. Therefore, DO NOT install them on a production machine! The second Ubuntu 26.10 snapshot is expected in late June, followed by the third and fourth snapshots in the coming months until the final release on October 15th, 2026. Ubuntu 26.10 will be an interim release supported for only nine months, until June 2027. Last updated on May 29th, 2026 at 03:16 pm Enjoyed the article?

Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace. Canonical, the publisher of Ubuntu, today announced the general availability (GA) of Managed Kubeflow on the Microsoft Azure Marketplace. This solution enables AI teams to get a fully managed, production-ready MLOps platform in their own tenant. Upstream Kubeflow is a powerful tool for machine learning, but it remains notoriously challenging to deploy and maintain. Organizations often find that their high-value data science teams waste a considerable portion of their capacity on infrastructure maintenance. Day-2 operations, such as manual upgrades and complex security patching, frequently stall model delivery and inflate operational costs. Canonical Managed Kubeflow solves these challenges by giving enterprise and startup AI teams a fully operational, open source MLOps platform in under an hour - managed 24/7 by Canonical's engineers - so data scientists can focus entirely on models rather than infrastructure. Table of Contents Enterprise-grade control and data governance. Managed Kubeflow on Azure removes the burden of monitoring and maintenance from platform engineering teams. Canonical's expert engineers provide 24/7 management, including seamless version upgrades. The platform is built on the following core pillars: * In-tenancy deployment: The service runs entirely in-tenancy within the customer's Azure Virtual Network (VNet). Proprietary models and training data never leave the customer's security perimeter. * Single Sign On: Native integration with Microsoft Entra ID, Okta or any other OpenID Connect (OIDC) compliant identity provider provides teams with securely designed, centralized authentication and access control. * Portability and control: Built on proven upstream Kubeflow, MLFlow and KServe, the platform ensures total portability as both the underlying application and automation code are open source. Your investment can travel with you if your strategy shifts toward hybrid or multi-cloud environments. Accelerating Kubeflow time-to-value. The service is available directly via the Azure Marketplace as a transactable listing. Every subscription decrements a customer's Microsoft Azure Consumption Commitment (MACC) on a 1-for-1 basis. This enables startups and large enterprises to bypass lengthy procurement cycles and deploy using existing Azure commitment. The platform scales effortlessly to accommodate a diverse range of enterprise workload demands. Users can deploy lightweight environments for rapid prototyping and initial testing phases. For critical production workloads, built-in High Availability (HA) guarantees enhanced system reliability. The service runs natively inside the robust Azure Kubernetes Service (AKS) environment. Administrators can configure independent worker pools featuring auto-scaling capabilities. Depending on your use case the service enables you to allocate cost-effective CPUs for development tasks and powerful GPUs for intensive model training. This optimizes Azure spend while simultaneously accelerating workflow performance. For AI and data executives, the service solves the challenge of needing to staff specialized MLOps teams before achieving product-market fit. It combines flexibility with the reliability required for production-grade AI projects, all while ensuring data governance, significantly lowering the barrier to innovation Get started with Managed Kubeflow on Azure. Managed Kubeflow on Azure is available now on the Azure Marketplace. Organizations can deploy the service directly from the Azure Marketplace to begin scaling their AI operations immediately: Additional resources. About Canonical. Canonical, the publisher of Ubuntu, provides open source security, support, and services. Its portfolio covers critical systems, from the smallest devices to the largest clouds, from the kernel to containers, from databases to AI. With customers that include top tech brands, emerging startups, governments, and home users, Canonical delivers trusted open source for everyone. Learn more at https://canonical.com/ Loading... August 1, 2024 Run an MLOps toolkit within a few clicks on a major public cloud Canonical is proud to announce that Charmed Kubeflow is now available as a software appliance on the Amazon Web Services (AWS) marketplace. With the appliance, users can now launch and manage their machine learning workloads hassle-free using... April 12, 2023 Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow helps data scientists and machine learning engineers run the entire ML lifecycle within one tool. Charmed Kubeflow is Canonical's official distribution of Kubeflow. The key benefits of Charmed Kubeflow... March 12, 2025