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IBM Data and AI Ideas Portal for Customers
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This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


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watsonx.ai

Showing 205

Support Kerberos credentials in Data Refinery

Currently as per the most recent versions of Cloud Pak for Data we can't use our connection to Apache Hive on Cloudera 7 because of the fact that we strictly use Kerberos authentication there. We can't use simple passwords. This makes it so that c...
2 days ago in watsonx.ai 0 Under review

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do.

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do. We are facing a big workload with a customer (Banco do Brasil) due to too many endpoint for inferencing wa...
6 days ago in watsonx.ai 0 Submitted

Enable different sampling methods in Data Refinery

In the current version of Data Refinery we have noticed that there's no way to change the sampling method for the source data. It's always top rows only. With the additional limitation of 10000 samples only this makes the Data Refinery Flow view s...
1 day ago in watsonx.ai 0 Submitted

Optimizing WML Deep Learning Resource Allocation and Scheduling in watsonx.ai

Resource allocation limits: Set GPU or resource limits for each watsonx.ai project to ensure efficient resource usage across multiple projects. This will prevent any one project from monopolizing resources and ensure that other projects can run sm...
about 8 hours ago in watsonx.ai 0 Submitted

Officialy document default parameters of IBM-provided models and provide a procedure to apply a custom configuration

When deploying IBM-provided model, the only configuration changes that are available are: - sharding - deploy in MIG nodes Client want to be able to deploy IBM-provided model with a custom configuration in order to : - deploy on a specific MIG ins...
1 day ago in watsonx.ai 0 Submitted

Support model architecture to allow using models like M2M100 in watsonx.ai software (on-prem, on cloud pak for data, OpenShift)

Supporting this Many-to-Many multilingual translation model allows customers to provide translations services via a single LLM for a large number of languages. This allows for lean operating cost of such a translation service within a customer's L...
13 days ago in watsonx.ai 0 Submitted

Keep and maintain at least 2 or 3 Python and R runtime versions in each release of CP4D

Multiple companies and industries work with CP4D for data science models. These models use multiple versions of Python or R runtimes and different open-source libraries that are compatible with the runtime version used to build the model. Clients ...
10 months ago in watsonx.ai 1 Not under consideration

Unrestricted context window for Mistral Large and Llama Models for watsonx.ai Software/ on-prem

One of the differentiators of Mistral large is its large context window. In watsonx however, we restrict this context window for Mistral and Llama models because of performance reasons, see here: https://www.ibm.com/docs/en/watsonx/w-and-w/2.0.x?t...
3 months ago in watsonx.ai 0 Functionality already exists

Add ability to modify the default, or create custom, deployment configurations for pods that are created when a deployment is pushed from the watson.ai UI

Add the ability to modify the default, or create custom, deployment configuration specs for pods that are created when a deployment is pushed from the watson.ai UI For example, when troubleshooting issues with deployments, or assets that are deplo...
3 months ago in watsonx.ai 0 Submitted

Custom Image Approach to Integrate Advanced IDEs such as PyCharm or Visual Studio Code (VSCode) in Watsonx/CP4D

In the Graphical User Interface (GUI) of Watsonx/CP4D, Python development is currently facilitated through Watson Studio Notebook and JupyterLab Integrated Development Environment (IDE). While these tools are sufficient for many users, more techni...
2 months ago in watsonx.ai 0 Submitted