Listing Thumbnail

    IBM watsonx.ai

     Info
    Deployed on AWS
    A next generation enterprise studio for AI builders to train, validate, tune and deploy AI models

    Overview

    IBM watsonx.ai is the next-generation enterprise studio for all AI builders to build, train, validate, tune and deploy AI models. It brings traditional machine learning and new generative AI capabilities powered by foundation models into a powerful studio that spans the AI lifecycle. IBM's open, hybrid, full stack approach includes a collection of foundation models including IBM-developed models that combine best-of-breed architectures with a rigorous focus on data acquisition, provenance, and quality, to serve enterprise needs. The collection also includes third-party and select open-source foundation models from Hugging Face. Watsonx.ai also features a Prompt Lab and API to experiment with foundation models and build prompts for various use cases. The studio also includes a data science toolset to build machine learning models with code or with auto AI capabilities, as well as a collection of powerful capabilities such as visual data pipelines and flows, synthetic data generation and more - all running on a scalable, open and trusted, hybrid AI infrastructure. Clients can immediately get started with watsonx.ai and co-create with IBM Consulting, Client Engineering, Expert Labs or IBM's extensive partner ecosystem to accelerate the value of AI for their business.

    For custom configuration and pricing please contact watsonx_on_AWS@wwpdl.vnet.ibm.com 

    Highlights

    • AI builders can work with foundation models and build prompts using prompt engineering. Within the Prompt Lab, users can experiment with zero-shot, one-shot, or few-shot prompting to support a range of Natural Language Processing (NLP) type tasks.
    • Prompt-tune foundation models as part of our Tuning Studio to help tune your foundation models with labeled data for better performance and accuracy.
    • Data science and MLOps toolset: All the tools, pipelines and runtimes powered by foundation models, a data scientist would need to support building machine learning models automatically.

    Details

    Delivery method

    Deployed on AWS

    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

    IBM watsonx.ai

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these 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
    IBM watsonx.ai 67 VPC
    IBM watsonx.ai 67 Virtual Processor Core Subscription License
    $643,200.00

    Vendor refund policy

    Please contact your client account team for refund information

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    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.

    Resources

    Vendor resources

    Support

    Vendor support

    Sign in to open a new case or review existing cases: https://www.ibm.com/mysupport/s/topic/0TO3p000000g8UsGAI/watsonx?language=en_US 

    You can view, start, or contribute to user discussions on the IBM Community. Find the watsonx.ai group here:

    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 AWS reviews
    |
    78 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Kevin A.

    Promising...

    Reviewed on May 29, 2025
    Review provided by G2
    What do you like best about the product?
    The user interface is definitely one of the key strengths of watsonx.ai. They've managed to create a complete suite of AI tools within a platform that's powerful yet not confusing to use.
    What do you dislike about the product?
    Definitely pricing… and unfortunately there's not a “free trial” option…
    What problems is the product solving and how is that benefiting you?
    The comprehensive toolset it offers for EDA, data processing, and preparation is impressive, and the way it simplifies these tasks, sometimes making them just one click away, is truly remarkable.
    Rohit Kumar G.

    Smooth and user friendly

    Reviewed on May 13, 2025
    Review provided by G2
    What do you like best about the product?
    What I liked best was how easy it was to get started,no complicated setup, and the interface felt really intuitive even for someone new. Plus, the models actually gave useful, relevant responses without much tweaking.
    What do you dislike about the product?
    I found the documentation a bit overwhelming at first. It took some digging to figure out which tools or models were best for my use case. Also, the interface could feel a little lagging at times.
    What problems is the product solving and how is that benefiting you?
    IBM watsonx.ai is solving the problem of streamlining the end-to-end machine learning workflow—from data prep to model deployment—all in one platform. For me as a data scientist, that means I spend less time jumping between tools and more time actually building and refining models. It also helps by making powerful foundation models more accessible, so I can apply advanced AI without needing to train everything from scratch.
    Md M.

    Reliable AI platform with strong enterprise capabilities

    Reviewed on Apr 28, 2025
    Review provided by G2
    What do you like best about the product?
    IBM watsonx.ai stands out for its ability to streamline model development and deployment at scale. As a developer, I appreciate how it blends flexibility with structure, offering a wide range of model types from classical ML to large language models. The UI is clean, and the integration with existing cloud and security frameworks is straightforward, which helps in speeding up experimentation cycles without compromising governance.
    What do you dislike about the product?
    While the platform is powerful, it can feel overwhelming at first, especially when setting up more customized workflows. Additionally, pricing could be more transparent for users who are still exploring options before committing at an enterprise level. Improved onboarding tutorials for developers new to IBM's ecosystem would be a welcome addition.
    What problems is the product solving and how is that benefiting you?
    IBM watsonx.ai helps tackle the challenge of scaling AI models securely and efficiently in an enterprise environment. For me, it solves two major pain points: the difficulty of managing multiple models across projects and the need for better visibility into model performance over time. By centralizing development, deployment, and monitoring in one platform, it saves significant effort that would otherwise go into stitching different tools together. It also benefits my workflow by making model governance and compliance easier to manage without slowing down innovation.
    Gaurav D.

    Futuristic AI Generative- Multi In One

    Reviewed on Apr 28, 2025
    Review provided by G2
    What do you like best about the product?
    Watsonx.ai by IBM is very useful in terms of of various industrial processes.
    I would like to review and recommend to use this tool for betterment of organisations.
    What do you dislike about the product?
    N/A - everyone has a chance to enhance themselves.
    What problems is the product solving and how is that benefiting you?
    It provides me a better way of thinking about a solution to Analytics
    Computer & Network Security

    Evaluating watsonx.ai: Strengths, Weaknesses, and Opportunities

    Reviewed on Apr 28, 2025
    Review provided by G2
    What do you like best about the product?
    I like that IBM watsonx.ai makes it easy to build and customize AI models while keeping everything secure and organized. It’s flexible, user-friendly, and built for real business needs.
    What do you dislike about the product?
    Sometimes it feels a bit complex to set up for first-time users, and the pricing can get high if you scale quickly. A bit more simplicity and transparency would help.
    What problems is the product solving and how is that benefiting you?
    IBM watsonx.ai helps solve the challenge of building, training, and deploying AI models securely and efficiently. It saves time, reduces complexity, and makes it easier to apply AI to real business problems without worrying about data risks.
    View all reviews