Sold by: IBM SoftwareÂ
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.comÂ
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
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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.
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 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)Â .
Content disclaimer
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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_USÂ
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
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83 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.
PRANWANT .
Powerful and Scalable AI Platform for Modern Enterprises
Reviewed on Jul 16, 2025
Review provided by G2
What do you like best about the product?
What I like best about IBM watsonx.ai is that it makes it easy to create and use smart AI tools that can grow with your business. It also helps make sure the AI is fair and trustworthy. Plus, it works well with IBM’s cloud, so everything runs smoothly.
What do you dislike about the product?
What I don’t like about IBM watsonx.ai is that it can be hard to learn and use if you’re new to AI. Some parts need more technical skills to understand.
What problems is the product solving and how is that benefiting you?
IBM watsonx.ai helps solve the problem of working with large amounts of data and making sense of it. It can quickly find patterns, answer questions, and make predictions, which saves a lot of time and effort. For me, it means I can make smarter decisions faster and build helpful tools without needing to do everything manually.
Umesh K.
AI in Finance using IBMwatsonx.ai
Reviewed on Jul 15, 2025
Review provided by G2
What do you like best about the product?
Ease of Integration is the best thing i found in this.
I found watsonx.ai relatively straightforward to integrate with existing data pipelines. It supports a variety of data sources, including structured financial data, which made onboarding less painful than expected.
I found watsonx.ai relatively straightforward to integrate with existing data pipelines. It supports a variety of data sources, including structured financial data, which made onboarding less painful than expected.
What do you dislike about the product?
While the platform offers powerful tools, it expects a certain level of familiarity with data science workflows and model development. This made it difficult for finance professionals to use it independently without leaning heavily on data or tech teams.
What problems is the product solving and how is that benefiting you?
IBM watsonx.ai is helping us streamline and scale advanced analytics within the finance function.
Specifically, it's supporting use cases like cash flow forecasting and financial trend analysis by enabling faster deployment of ML models.
The platform features also help us maintain compliance which is critical in a firm like Big4.
While it still requires collaboration with data and tech teams, it’s reducing manual effort, improving forecast accuracy, and enabling more data-driven decision-making across our processes.
Specifically, it's supporting use cases like cash flow forecasting and financial trend analysis by enabling faster deployment of ML models.
The platform features also help us maintain compliance which is critical in a firm like Big4.
While it still requires collaboration with data and tech teams, it’s reducing manual effort, improving forecast accuracy, and enabling more data-driven decision-making across our processes.
Gullenkula s.
Ai fundamentals are much needed
Reviewed on Jul 14, 2025
Review provided by G2
What do you like best about the product?
How smart we can change our work and transform using it
What do you dislike about the product?
More content need for grip in the subject
What problems is the product solving and how is that benefiting you?
Yes how we can change our systems to supervised learning
Shubham B.
Good range of foundation and baseline models,UI can be a bit more seamless and less cluttered
Reviewed on Jul 14, 2025
Review provided by G2
What do you like best about the product?
Number of models available
Easy to use In general(slightly cluttered at times but usable)
Deploying is simple
College students can also use it
Easy to use In general(slightly cluttered at times but usable)
Deploying is simple
College students can also use it
What do you dislike about the product?
Please avoid too many things on screen at once,maybe have toggle menu options in place.
What problems is the product solving and how is that benefiting you?
Deploying agents for ticket categorisation with ease.
Rizwan A.
Amazing tool for building AI application
Reviewed on Jun 05, 2025
Review provided by G2
What do you like best about the product?
It collaborates with various generative AI tools and can be deployed on hybrid environment
What do you dislike about the product?
I haven't seen any dislike feature of IBM watsonx.ai
What problems is the product solving and how is that benefiting you?
It provide an intuitive interface for building Generartive AI application