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
Sold by
Delivery method
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 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
Akash A.
Powerful All-in-One AI Studio, Though Setup Can Feel Complex at First
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
The thing I like most is that the enterprise-grade AI is available in a single, integrated studio.
What do you dislike about the product?
Because it’s a full-featured enterprise tool, I often found the initial setup and some of the more advanced features complex as a new user, especially compared with more consumer-oriented AI tools like ChatGPT or Google Vertex AI.
What problems is the product solving and how is that benefiting you?
IBM watsonx.ai addresses the practical barriers that prevent businesses from scaling AI such as complexity, compliance risk, skill gaps, and disconnected workflows, and helps turn them into actionable, governed, and collaborative AI applications that deliver measurable value.
Marwan M.
Empowers AI Development with Unified Platform
Reviewed on Jan 25, 2026
Review provided by G2
What do you like best about the product?
I like how easy it is to build and deploy AI models in one platform with IBM watsonx.ai. The strong tools for data analysis and automation are essential, and the enterprise-level reliability gives me confidence in managing complex projects. Having everything in one unified platform simplifies my workflow and makes things more efficient.
What do you dislike about the product?
Some features have a learning curve, and the documentation and setup process could be simpler and more beginner-friendly.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.ai to speed up AI development, analyze data more efficiently, and automate tasks that would otherwise require a lot of manual effort.
Verified User
Robust Security and MLOps, Steeper Learning Curve
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
I like IBM watsonx.ai for its enterprise-grade security and governance combined with flexible model development. I also enjoy its Prompt lab for quick experimentation, the smooth integration with existing enterprise systems, and the strong MLOps support. The security aspect is valuable as it gives me confidence that sensitive enterprise data is protected. The Prompt lab enhances my experiences by allowing me to quickly experiment with refining prompts in an interactive way. The MLOps support has been especially beneficial because it brings structure and reliability. Additionally, the initial setup was straightforward but thorough.
What do you dislike about the product?
I find IBM watsonx.ai can have a steeper learning curve, and some parts of the interface feel more complex than necessary.
What problems is the product solving and how is that benefiting you?
IBM watsonx.ai solves real-world AI and data challenges, provides enterprise-grade security, quick experimentation through the prompt lab, and offers strong MLOps support for structure and reliability.
Information Technology and Services
Go To Tool For Ai Experimentation
Reviewed on Jan 19, 2026
Review provided by G2
What do you like best about the product?
like the clean interface and the way watsonx.ai brings model testing, prompt experimentation, and deployment tools into a single platform. As a working professional exploring AI capabilities, it helped me quickly try different prompts and understand how enterprise-grade AI platforms are structured.
What do you dislike about the product?
The initial setup and navigation can feel overwhelming for first-time users, especially when exploring advanced options. Some documentation could be more beginner-friendly for users who are learning the platform independently.
What problems is the product solving and how is that benefiting you?
watsonx.ai helps me experiment with enterprise-grade generative AI tools and understand how AI models are tested, governed, and deployed in professional environments. It is useful for improving my practical understanding of AI platforms and workflows.
Sumeet V.
User-Friendly No-Code/Low-Code Platform for Building, Training & Deploying Models
Reviewed on Jan 19, 2026
Review provided by G2
What do you like best about the product?
What I like most is its focus on no-code and low-code, along with a solid, user-friendly interface for building and training models, and for deploying them as well.
What do you dislike about the product?
It has a very complex setup, and the cost is quite high compared to other tools available. For small teams, it’s not a good fit and can be quite challenging to use.
What problems is the product solving and how is that benefiting you?
Mainly, it solves the whole problem of keeping track of AI models, including monitoring them and retraining them manually. It provides tools that automate the endpoint workflow, from data insertion or ingestion all the way through to model training.