Sold by: IBM Software
Deployed on AWS
IBM watsonx.ai software is an enterprise-grade AI development studio that brings together generative AI and machine learning development, deployment and scalability on AWS.
4.4
Overview
IBM watsonx.ai is an enterprise-grade AI development studio that brings together generative AI and machine learning development, deployment and scalability on AWS secure infrastructure.
With its open and hybrid architecture, watsonx.ai supports a range of foundation models--including IBM-developed, third-party, and open-source options--allowing teams to select and securely adapt models that provide the best performance for their use cases and requirements.
Visual tooling such as Prompt Lab, AutoAI, and data pipelines enable faster experimentation and iteration, helping users streamline workflows and reduce development time.
**Note: This listing is for the client managed software version of watsonx.ai that is required to be installed on AWS infrastructure.
Highlights
- Enterprise-grade studio that empowers AI developers to build and scale solutions with access to frontier models, popular frameworks, pro-code and low-code tooling, and easy deployment options
- Take advantage of features that help to automate manual development, such as the AutoAI RAG feature to automatically create optimized RAG pipelines for context-rich responses
- Leverage a comprehensive data science and MLOps toolkit for AI application development and deployment, including data preparation, synthetic data generation, Python/R notebooks, open-source libraries, APIs/SDKs, canvas builders for data pipelines and flows, AutoAI for machine learning models, and an interface for prescriptive analytics used for decision optimization
Details
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Delivery method
Deployed on AWS
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Features and programs
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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.
Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
IBM watsonx.ai software 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
Custom pricing options
Request a private offer to receive a custom quote.
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.
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
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
David C.
Powerful AI with Deep Resources, Albeit Complex Setup
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
I like that IBM watsonx.ai is a strong AI built around a core set of programming requirements. It also has a good set of resources to research and find out how to do things. While the setup was a little more complicated than others we have used, it was well worth it.
What do you dislike about the product?
The automate tasks feature is going away, which means it won't be available anymore, so we'll have to find a new way to handle that. Additionally, the initial setup was a little more complicated than other tools we've used, although it was well worth it.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.ai to automate tasks and find issues our current RAG setup doesn't know about.
Program Development
More Human-Like AI Responses That Feel Reliable
Reviewed on Jul 25, 2026
Review provided by G2
What do you like best about the product?
Unlike traditional ai , the response seem less llm generated and more tend towards human nature that makes it seem reliable
What do you dislike about the product?
Have not got anything to flag yet , so cant say
What problems is the product solving and how is that benefiting you?
Mostly day to day co assistant kind of tasks
Utilities
Prompt Lab Makes Prompting Easy
Reviewed on Jul 12, 2026
Review provided by G2
What do you like best about the product?
My favorite part has to be the Prompt Lab. Sometimes the most challenging part of getting started with an AI model is creating the prompt, and the Prompt Lab is a huge help with that.
What do you dislike about the product?
I think the user interface could be improved.
What problems is the product solving and how is that benefiting you?
Watsonx.ai has been super helpful for my work's knowledge management
Aleksander M.
Enterprise-Ready Prompt Lab for Comparing Models and Building Project-Based AI Solutions
Reviewed on Jul 10, 2026
Review provided by G2
What do you like best about the product?
What I like most about IBM watsonx.ai is that it gives you a relatively easy way to start working with different models and prompts, but it still feels like something designed for real enterprise use rather than just a simple demo tool. I use Prompt Lab mostly to compare how different models respond, adjust parameters and test different prompt approaches without having to build a separate application each time. I also like that everything can be kept within projects and later connected with a wider architecture, because in practice the model itself is only one part of the whole solution. You still need to think about access, data, deployment and how the application will actually use it, and watsonx.ai gives you a much better starting point for that than a standalone chat interface.
What do you dislike about the product?
It can take some time to understand how the different parts of watsonx fit together and what should be done in the platform itself versus in an external application. I would also like to see more complete end-to-end examples that show the path from an initial prompt experiment to an actual integrated solution.
What problems is the product solving and how is that benefiting you?
IBM watsonx.ai helps solve the gap between simply testing an AI model and building something that can later become a proper enterprise solution. It gives me one place to compare models, test prompts, adjust parameters and organize the work within projects instead of using separate tools for every part of the process. The main benefit is that I can move from an initial idea to a more structured proof of concept much faster and also have a better conversation about access, data, integration and deployment, because these areas are already part of the wider platform rather than something that has to be added later.
Nishant Kumar W.
IBM watsonx.ai Seamlessly Bridges Modern AI with Enterprise Legacy Systems
Reviewed on May 08, 2026
Review provided by G2
What do you like best about the product?
As a Senior Mainframe Developer at Worldpay, what I find most valuable about IBM watsonx.ai is its ability to bridge modern AI capabilities with enterprise-grade, legacy systems.
What do you dislike about the product?
Integration and user interface: I believe the main issue is that it mostly requires multiple hands-on steps.
What problems is the product solving and how is that benefiting you?
It explains the code and the overall system, which I feel is much needed for legacy mainframe systems.