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IBM Breathes New Life into Mainframes with AI

IBM's AI on mainframes uses five times less energy than GPUs. Banks and insurers are repatriating workloads to benefit from real-time AI inference and enhanced security.

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In the picture we can see three boys standing near the desk on it, we can see two computer systems...
In the picture we can see three boys standing near the desk on it, we can see two computer systems towards them and one boy is talking into the microphone and they are in ID cards with red tags to it and behind them we can see a wall with an advertisement board and written on it as Russia imagine 2013.

IBM Breathes New Life into Mainframes with AI

IBM is harnessing AI to breathe new life into mainframes, ensuring their relevance for years to come. Despite their age, mainframes persist due to their robust reliability, stringent security, and impressive performance.

IBM's AI inference capabilities on mainframes use significantly less energy - five times less than comparable x86 systems with GPUs - while maintaining better latency. This efficiency aligns with IBM's hybrid cloud strategy, acknowledging that different workloads thrive in different environments.

Some customers are opting to bring workloads back from the cloud to on-premise mainframes. Factors driving this trend include cost control, data sovereignty, and regulatory compliance. IBM Z mainframes, powering 70% of the world's transactions by value, are at the forefront of this repatriation.

Mainframes excel in real-time AI inference, executing fraud detection scoring 100% of the time in real-time. While specific companies are not listed, banks and insurance firms are prominent users modernizing their IBM Z environments with AI and machine learning technologies. IBM watsonx Assistant for Z enhances AI-driven operations and automation on the mainframe platform.

IBM has identified over 250 use cases for mainframes across various industries. These include medical image recognition and climate change impact modeling. Mainframes' role in AI is particularly notable in inference, where they process AI tasks at a staggering speed of up to 450 billion operations per day.

IBM's AI-driven modernization of mainframes extends their relevance, offering customers cost savings, enhanced security, and superior performance. As workload repatriation increases, mainframes' role in AI inference solidifies, making them a reliable and efficient choice for businesses.

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