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    IBM watsonx.ai

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    A next generation enterprise studio for AI builders to train, validate, tune and deploy AI models
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    IBM watsonx.ai

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    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

    Pricing

    IBM watsonx.ai

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    Pricing is based on contract duration. 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. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.

    12-month contract (1)

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    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

    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

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    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.

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    Customer reviews

    Ratings and reviews

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    71 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Marek M.

    Easy to use AI implementation for Enterprise

    Reviewed on Oct 23, 2024
    Review provided by G2
    What do you like best about the product?
    Easy to use, ability to create your own llm models (RAG), easy of integration with watsonx ecosystem. LLM models are small enough to deliver quality with the proper speed. Can be used on different use case.
    What do you dislike about the product?
    Learning curve - portal to build your own model, at first glance can be overwhelming.
    What problems is the product solving and how is that benefiting you?
    Cyber security - an internal chatbot that is helping end-user to qualify their data and provide reccomendation on what should be done if they have to share the data (anonymize, scramble, etc,)
    Lukasz M.

    Fit for purpose tool

    Reviewed on Oct 23, 2024
    Review provided by G2
    What do you like best about the product?
    It is fit for purpouse in regard to enterprise solutions. It is intuitive and agile where with watson studio you can get results instantly.
    What do you dislike about the product?
    I am missing built in integrations with key industry solutions.
    What problems is the product solving and how is that benefiting you?
    Data Inteligence, Content Creation, recomendations, scoring based on documents and criteria.
    Sebastián R.

    Multiple models from different vendors in one platform

    Reviewed on Oct 22, 2024
    Review provided by G2
    What do you like best about the product?
    You can integrate multiple models from several sources, for example train a custom LLM model and put in production very quickly
    What do you dislike about the product?
    There are not so much to say here, it's updated frequently.
    What problems is the product solving and how is that benefiting you?
    Manage multiple models in an agentic architecture is critical, we need simplicity to deploy several models in only one platform.
    Government Relations

    Easy implementation in existing products

    Reviewed on Oct 22, 2024
    Review provided by G2
    What do you like best about the product?
    We integrated watsonx.ai together with the Build lab team into one of our own applications. The implementation itself took less than a day and we received a full manual on how to do it again ourselves later. Our customers are also very happy with this integration we now provide as it easily matches on the services we already deliver. As it was built with the build lab, we received a lot of support and know who to contact for future developments.
    What do you dislike about the product?
    It is a big product and cannot be easily used outside of an IBM container. Our main focus is on prem work so this is usually our struggle point.
    What problems is the product solving and how is that benefiting you?
    A self created RAG solution for government entities that cannot use chatgpt.
    karunakar v.

    Easy to use with many out of the box capabilities

    Reviewed on Oct 22, 2024
    Review provided by G2
    What do you like best about the product?
    Support for large library of AI models and configuration capabilities
    What do you dislike about the product?
    UX can be improved for easy to configure
    What problems is the product solving and how is that benefiting you?
    Insurance claims processing
    View all reviews