AI Solution Templates are a suite of pre-built blueprints that guide you through the full AI lifecycle on IBM Z with various enterprise use cases while leveraging a variety of technologies. Whether you’re a senior data scientist or have no previous AI skills, build your own AI model, deploy it on IBM Z, and integrate it into a business application.
Explore each of the available AI Solution Templates below.
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This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
This solution template provides an example on how to deploy AI with a preprocessing pipeline using an IBM Z environment, while making use of open source frameworks, Machine Learning for z/OS (MLz), and more.
This solution template provides an example on how to deploy AI with a preprocessing pipeline using an IBM Linux on Z environment, while making use of open source frameworks, Golang, Triton Inference Server, and more.
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