Kyndryl emphasizes genAI with Nvidia partnership, mainframe modernization tools

In addition to the Bridge integration, Kyndryl Consult will support customer operations running on the Nvidia infrastructure, in on-premises deployments, or in a private cloud, hybrid or multicloud environments, the companies stated.

Using AI to transform mainframe environments

While GPU operations are the focus of the Nvidia collaboration, Kyndryl also said it will expand its AI-driven mainframe modernization services. The new AI services are aimed at furthering Kyndryl’s strategy of offering customers options when it comes to mainframe modernization – whether they want to keep data on the mainframe, migrate it off, or create a hybrid environment.

Kyndryl will now offer Bridge-based AI and generative AI tools for moving workloads off the mainframe to the cloud via generative AI-produced and Kyndryl-enhanced application documentation. The services will support automated conversion of classic mainframe application code to modern languages such Java.

Additionally, new AI-based services will help secure access to mainframe data used in cloud-based AI offerings, enable interoperability between mainframe and cloud operations, and assist in determining proper workload placement, Kyndryl stated.

“The AI-driven operational insights can enable more proactive and predictive management of mainframe systems, and provide visibility and control over mainframe performance and costs,” wrote Petra Goude, global practice leader for core enterprise & zCloud at Kyndryl, in a blog about AI and the mainframe. 

If customers are keeping data on the Big Iron, the AI tools can determine application code modernization techniques to avoid potential production issues. The tools will integrate real-time AI into existing mainframe applications for better business insights, according to Kyndryl.