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IBM Readies AI-Capable Mainframe for Mid-Year Debut

IBM plans to introduce its z17 mainframe system in the middle of the year, designed to process artificial intelligence workloads alongside enterprise data repositories. The announcement came from CEO Arvind Krishna during the company's fourth-quarter 2024 earnings presentation.

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IBM gears up to roll out AI-ready mainframe midyear
IBM gears up to roll out AI-ready mainframe midyear

During a Wednesday earnings call for Q4 2024, IBM Chairman and Chief Executive Arvind Krishna announced that the company intends to unveil its next-generation mainframe platform midyear, positioning AI processing capabilities nearer to where organizations store their data. This release of the z17 line represents the successor to the z16, which debuted in 2022 and has delivered exceptional commercial performance.

The z16 has proven remarkably durable in the marketplace. According to James Kavanaugh, Senior Vice President and Chief Financial Officer, "This has been one of the longest programs and most consistent in terms of revenue growth that we've ever seen." He further noted that the platform demonstrates "an instantiation of the value of our enduring platform in a hybrid cloud and AI era."

IBM's infrastructure business segment experienced a contraction of 7.6% compared to the prior year, bringing in $4.3 billion as the z16 cycle matured. Meanwhile, the software division expanded revenues by more than 10% to reach $7.9 billion, representing approximately 45% of IBM's total Q4 revenue. Overall company revenue increased 1% in the quarter to $17.6 billion.

Next-Generation Hardware Powers AI Integration

As organizations prepared for equipment replacement cycles and generative AI deployment accelerated, IBM gave customers a preview of the technology underlying the forthcoming mainframe during the previous summer. The z17 will derive its computational capabilities from two key components: the Telum II processor, which offers substantial capacity, and the Spyre Accelerator, engineered specifically for artificial intelligence tasks, according to Tina Tarquinio, Vice President of Product Management for IBM Z and LinuxONE, speaking with CIO Dive.

IBM strengthened its AI toolkit in October by introducing two general-purpose Granite open source models and broadening the feature set of its watsonx coding assistant. Despite software and hybrid-cloud offerings now surpassing the mainframe business in revenue contribution, concerns surrounding AI expenses and data protection have reinvigorated interest in the traditional enterprise platform.

Executive Confidence in Mainframe's AI Future

Technology leaders demonstrate strong optimism regarding mainframes' potential in advancing AI initiatives. An Oxford Economics investigation covering more than 2,500 technology executives, conducted on behalf of the IBM Institute for Business Value, supports this outlook. Kyndryl, meanwhile, documented comparable perspectives among 500 IT leaders participating in its annual mainframe modernization research.

Krishna remarked on Wednesday that "We see more opportunities ahead as our infrastructure solutions play a crucial role in helping clients bring AI workloads closer to their data."

Generative AI expansion has already benefited IBM's broader business. The organization captured $1.5 billion in generative AI bookings throughout Q4, Kavanaugh disclosed. Additionally, IBM's data and AI software division achieved 4% year-over-year growth during the period.