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    TrueFoundry

     Info
    TrueFoundry offers an AI platform designed to streamline the training and deployment of machine learning models on Kubernetes. With a focus on cost efficiency and rapid deployment, the platform empowers teams to leverage ML technologies effectively.

    Overview

    TrueFoundry transforms the complex landscape of machine learning operations by providing a robust platform that facilitates seamless training, deployment, and monitoring of ML models and LLMs. It is built to enhance production speeds and reduce operational costs by 30-40%, making it a go-to solution for organizations looking to optimize their ML workflows.

    The platform supports a range of features, including training jobs, inference services, and GPU management, all on user-controlled infrastructure. This structured approach helps teams avoid infrastructure-related headaches and enables a sharper focus on delivering value through ML technologies.

    Highlights

    • Train and deploy Compound AI Applications on Kubernetes.
    • Achieve 40-60 % cost savings in production.
    • GPU & Infra management, LLM Gateway, Future Safe GenAI Applications.

    Details

    Delivery method

    Deployed on AWS

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    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

    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

     Info
    Dimension
    Description
    Cost/12 months
    TrueFoundry Enterprise
    Standard enterprise contract for installation and up to 10 developers using the TrueFoundry platform.
    $100,000.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    additional_users
    Additional usage fee.
    $1.00

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

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    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

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Please checkout our Trust Center at https://trust.truefoundry.com/  and for support email us at support@truefoundry.com  / founders@truefoundry.com . We provide documentation, tutorials, and a dedicated support team to assist clients in their use of our platform.

    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.

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    Customer reviews

    Ratings and reviews

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    47 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Rajat S.

    Great product for Building and Deploying highly scalable Gen AI Solutions with minimum overhead.

    Reviewed on Sep 11, 2024
    Review provided by G2
    What do you like best about the product?
    Ease of Use
    Ease of Integration
    Scalable deployments
    Ease of Implementation
    Customer Support
    Number of Features
    What do you dislike about the product?
    Not suitable for cost sensitive environment.
    What problems is the product solving and how is that benefiting you?
    Adoption of Gen AI for scalable and production ready Solutions
    Suman P.

    Truefoundry has streamlined the testing deployment and maintenance of models in the org

    Reviewed on Sep 02, 2024
    Review provided by G2
    What do you like best about the product?
    It has streamlined the deployment process. The steps that has personally helped me:
    1. Ease of deployment from local/repo
    2. Performance and fuctional testing of solution before prod deployment
    3. Deployment metrics tracking and logging
    4. Customisability in prod data storage which helps in maintenance and debug purpose
    5. Tracking all the jobs and deployments in one place

    Other than that their customer support is very prompt
    What do you dislike about the product?
    If there is one scope that could be user friendly development environment which would make it a one stop platform for development testing and deployment of solutions
    What problems is the product solving and how is that benefiting you?
    Deployment and Maintenance of DS solutions
    Computer Games

    Faster way to deploy

    Reviewed on Sep 02, 2024
    Review provided by G2
    What do you like best about the product?
    Streamlined process of mode deployment and monitoring
    What do you dislike about the product?
    Nothing specific, process was pretty streamlined
    What problems is the product solving and how is that benefiting you?
    Ease of ML model deployment
    Computer Games

    Good place to integrate entire deployment pipeline

    Reviewed on Sep 02, 2024
    Review provided by G2
    What do you like best about the product?
    Very easy to use for any data scientist for ML model deployment
    What do you dislike about the product?
    Sometimes, few features like graphs and logs fails.
    What problems is the product solving and how is that benefiting you?
    Very easily any data scientist can deploy models without much configuration
    Financial Services

    Supercharges any developer workflow.

    Reviewed on Aug 30, 2024
    Review provided by G2
    What do you like best about the product?
    Prototyping/Testing deployments have become very quick with one click deployments, able to build and deploy through a particular branch and commit helps quick iterations. Ability to use SSH server with required service accounts and VsCode helps increase productivity. Support is helpful as well for any queries that occur. Able to look to live logs in the UI itself helps in quick debugging. We were able to deploy a hugging face model for a customer facing service fairly quickly using their ML model deployments.
    What do you dislike about the product?
    Some features such as RBAC control, safe guarding production deployments is needed. Approval based deployment rollout is also a good feature to have.
    What problems is the product solving and how is that benefiting you?
    Developer does not need to get his hands dirty with devops stuff. Plug and Play product where you just select what you want and don't need to understand much about the internals. Quick iterations are important, and deployments give just that.
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