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    AI Workstation on OpenClaw Agent on Ubuntu 24.04 LTS

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    Deployed on AWS
    AWS Free Tier
    This is a repackaged software product with additional charges for support, maintenance, and pre-configuration by Tidal Media Inc. AI Workstation on OpenClaw Agent on Ubuntu 24.04 LTS is a pre-configured VM designed for scalable AI agent orchestration, offering a secure, optimized, and ready-to-deploy environment with additional support and maintenance by Tidal Media Inc.

    Overview

    This is a repackaged software product with additional charges for support, maintenance, and pre-configuration by Tidal Media Inc. AI Workstation on OpenClaw Agent on Ubuntu 24.04 LTS provides a modern, production-ready environment for deploying and managing AI-driven agent workflows in cloud and hybrid infrastructures. Built on the stability and long-term support of Ubuntu 24.04 LTS, this pre-configured virtual machine includes the OpenClaw AI Agent Gateway, enabling seamless orchestration, communication, and execution of autonomous AI agents. It is designed to support scalable AI operations, API-driven integrations, and distributed task processing across enterprise environments. The image is optimized for rapid deployment, reducing setup complexity and allowing developers, data engineers, and platform teams to quickly integrate AI agents into their existing systems. It supports a wide range of use cases, including intelligent automation, data pipeline orchestration, conversational AI backends, and multi-agent collaboration frameworks. With built-in optimizations for performance, security hardening, and system reliability, this solution ensures efficient resource utilization and consistent runtime behavior. It integrates easily with cloud-native services, container platforms, and external APIs, making it suitable for both experimentation and production-grade AI deployments. Designed for organizations adopting AI-first architectures, AI Workstation on OpenClaw Agent on Ubuntu 24.04 LTS combines the flexibility of open-source infrastructure with enterprise-ready configuration, enabling faster innovation and operational scalability. Disclaimer: Ubuntu® is a registered trademark of Canonical Ltd. This product is not affiliated with or endorsed by Canonical Ltd. Tidal Media Inc. does not provide a commercial license for Ubuntu or OpenClaw™ software components.

    Highlights

    • Deploy AI agent infrastructure instantly with a pre-configured OpenClaw Gateway on a stable and secure Ubuntu 24.04 LTS environment.
    • Enable scalable, API-driven AI workflows and multi-agent orchestration for automation, integrations, and intelligent systems.
    • Reduce setup complexity and accelerate time-to-production with an optimized, enterprise-ready virtual machine image.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

    AI Workstation on OpenClaw Agent on Ubuntu 24.04 LTS

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (153)

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    • ...
    Dimension
    Cost/hour
    t2.medium
    Recommended
    $0.019
    t2.micro
    $0.019
    t3.micro
    $0.019
    m5ad.4xlarge
    $0.019
    m4.large
    $0.019
    m5d.xlarge
    $0.019
    m5d.metal
    $0.019
    m5.large
    $0.019
    m5.8xlarge
    $0.019
    m5d.12xlarge
    $0.019

    AI Insights

     Info

    Dimensions summary

    You pay by the hour for the EC2 instance size you run. This software ships preconfigured on Ubuntu 24.04 LTS, and the hourly rate covers the running instance. The many options are AWS instance types, not feature tiers. General-purpose families (t2, t3, t3a, m3, m4, m5 and variants) suit lighter or balanced workloads. Memory-optimized (r-series, x8i, u-series) and compute-optimized (c8i) families target larger memory or CPU needs. Metal and high-xlarge sizes give more capacity. You choose the size to match your workload, and the price scales with the instance's resources. No commitment applies.

    Top-of-mind questions for buyers

    The hourly rate covers the running software preconfigured on Ubuntu 24.04 LTS for the instance size you pick. It does not include your AWS infrastructure fees, such as compute, storage, or data transfer, which AWS bills separately. It also does not include any third-party AI service key you supply.
    Hourly software charges apply only while the instance runs. A fully stopped instance stops accruing software charges. Note that AWS may still bill underlying storage for a stopped instance. To halt software charges, stop or terminate the instance in your AWS account.
    No. The many options are AWS instance types, not feature levels. Every size runs the same preconfigured software. Larger sizes give more CPU, memory, or storage capacity for heavier work, and the hourly rate scales with those resources. You choose the size to match your workload.
    tidalmediainc.com
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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

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    Support

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    If you faced any problem, check the Usage Guide at

    AWS infrastructure support

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