Title: Seeking Expertise: Integrating AI Workloads on IBM Z & LinuxONE

Hello IBM Community members,

I am currently exploring the integration of AI workloads on IBM Z & LinuxONE platforms, and I would greatly appreciate any guidance, resources, or personal experiences shared by the community.

Specifically, I am interested in understanding:

• Best practices for deploying AI models on IBM Z & LinuxONE
• Performance considerations and optimization techniques
• Available tools and frameworks for AI development on these platforms
• Success stories or case studies showcasing AI implementation on IBM Z & LinuxONE

If you have any insights, documentation, or links to relevant resources, I would be incredibly grateful if you could share them here.

Thank you in advance for your support and expertise.

Hi Marco, 

We would love to help you get started!

A few resources to check out: 
1. Journey to AI on Z and LinuxONE Content Solution that provides a high level overview of the AI lifecycle, use cases, and tooling. It includes a section on deploying models. https://www.ibm.com/support/z-content-solutions/journey-to-ai-on-z/

2. We also have a Github 101 AI on Z page with more details on each, a bit of a deeper level than the Content Solution above. https://ibm.github.io/ai-on-z-101/ 

3. If you would like to reach out to the team, please email aionz@us.ibm.com and we can help with your use case. 

Best,
Joy Deng