Mainframes Find New Life in AI Era

Mainframe computers, stalwarts of high-speed data processing, are finding new relevance in the age of AI. Banks, insurers, and airlines continue to rely on these industrial-strength machines for mission-critical operations, with some now exploring AI applications directly on the hardware, WSJ reported in a feature story. IBM, commanding over 96% of the mainframe market, reported 6% growth in its mainframe business last quarter. The company's latest zSystem can process up to 30,000 transactions per second and hold 40 terabytes of data. WSJ adds: Globally, the mainframe market was valued at $3.05 billion in 2023, but new mainframe sales are expected to decline through 2028, IDC said. Of existing mainframes, however, 54% of enterprise leaders in a 2023 Forrester survey said they would increase their usage over the next two years. Mainframes do have limitations. They are constrained by the computing power within their boxes, unlike the cloud, which can scale up by drawing on computing power distributed across many locations and servers. They are also unwieldy -- with years of old code tacked on -- and don't integrate well with new applications. That makes them costly to manage and difficult to use as a platform for developing new applications.

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