Listing Thumbnail

    NginxPulse On CentOS Stream 9 with support by ThinkCloud

     Info
    Sold by: ThinkCloud 
    Deployed on AWS
    AWS Free Tier
    An open-source AI-native agentic workspace and creation engine for human-AI collaboration, pre-configured on a secured CentOS 9 environment with support by ThinkCloud.

    Overview

    Refly on CentOS 9 is a cutting-edge Amazon Machine Image (AMI) designed to redefine how teams interact with Artificial Intelligence. As the first open-source agentic workspace, Refly goes beyond simple chat interfaces by providing a free-form canvas where human insight and AI execution blend seamlessly. It allows users to build, govern, and deploy deterministic "Agent Skills" rather than just fragile prompts.

    Maintained and optimized by ThinkCloud, this AMI is deployed on a hardened CentOS 9 foundation. We have pre-configured the environment to handle complex multimodal workflows including text, image, audio, and video generation ensuring high-performance execution of AI-driven SOPs (Standard Operating Procedures). By self-hosting Refly, you maintain total data sovereignty and break free from the "black box" of third-party AI SaaS platforms.

    Refly serves as a universal bridge between your enterprise toolchain (Slack, Feishu, GitHub, etc.) and the next generation of AI models. With ThinkCloud's enterprise support, you can transform your business logic into production-ready agentic infrastructure that is secure, version-controlled, and highly scalable.

    Highlights

    • Revolutionary Human-AI Collaboration Move beyond basic prompting with an agentic workspace that compiles your enterprise SOPs into executable skills, ensuring 100% operational compliance and reliability.
    • Privacy-First AI Infrastructure Take full control of your AI strategy. Host your models, skills, and data on a secured CentOS 9 instance within your own VPC, protected by ThinkCloud's expert configuration.
    • Enterprise Support by ThinkCloud Leverage professional guidance for scaling AI workloads, managing model providers, and integrating Refly into your existing DevOps pipelines for maximum efficiency.

    Details

    Delivery method

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

    Latest version

    Operating system
    CentOs 9

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    NginxPulse On CentOS Stream 9 with support by ThinkCloud

     Info
    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 (10)

     Info
    Dimension
    Cost/hour
    t3.large
    Recommended
    $0.10
    t3.micro
    $0.10
    t3a.micro
    $0.10
    t3.small
    $0.10
    t3a.small
    $0.10
    t3a.medium
    $0.10
    t3a.nano
    $0.10
    t3.nano
    $0.10
    t3.medium
    $0.10
    t3a.large
    $0.10

    Vendor refund policy

    no refunds

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    Updated to the latest

    Additional details

    Usage instructions

    SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  After entering the system, please check the Readme file under the /root path, which contains detailed configuration information

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.