Listing Thumbnail

    AI Model Operations Server

     Info
    Deployed on AWS
    AWS Free Tier
    AI Model Operations Server provides a centralized environment for deploying, managing, monitoring, and operating production AI models and inference workloads.

    Overview

    AI Model Operations Server by Windfall is an enterprise infrastructure solution designed to support the deployment and operation of production AI workloads.

    The platform provides a centralized environment for managing AI models, inference services, configurations, and operational performance. It helps engineering teams move AI applications from development into controlled production environments while maintaining visibility into workload health and resource utilization.

    Designed around reliable data, scalable engineering, and production operations, the solution can serve as a foundation for organizations running AI-powered applications, intelligent automation, and machine-learning workloads.

    Highlights

    • Production AI Deployment Deploy and operate AI models and inference services in a controlled, production-ready environment.
    • Model & Workload Management Manage models, inference services, configurations, and AI workloads from a centralized operational interface.
    • Performance & Operational Visibility Monitor AI workload health, resource utilization, service availability, and operational activity.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 24.04 LTS

    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

    AI Model Operations Server

     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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    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 (3)

     Info
    Dimension
    Cost/hour
    t2.micro
    Recommended
    $0.06
    c3.large
    $0.03
    m1.medium
    $0.05

    Vendor refund policy

    Refunds are currently not available. Requests will be reviewed on a case by case basis. Eligible refunds are processed in accordance with AWS policies.

    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

    First Release of AI Model Operations Server

    Additional details

    Usage instructions

    To begin using this image, connect via SSH. Until you connect SSH into the instance and validate your credentials, you will not be able to access the Software. To connect to the operating system, use SSH and the username buntu. For instructions on using SSH to connect to your instance, see the AWS EC2 documentation: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html2  Please note, this image may take upto 10 minutes to instantiate.

    Support

    Vendor support

    For comprehensive assistance and guidance, our dedicated support team is available at https://windfalldata.org/contact/  Our team is committed to providing responsive assistance to address technical queries, engagement planning, and ongoing project 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.

    Similar products

    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.