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Delivering AI inferencing solutions gravitate around AI data centers, edge infrastructure, and/or on-device processing. Does the mainframe have a role in the AI Era?
IBM’s z17 mainframe promises AI capabilities, but is this truly the future of enterprise tech, or a bold reinvention of ...
IBM has designed the new z17 mainframe platform to enable AI across many of its functions. It is designed to bring AI ...
ALTHOUGH cloud platforms and applications have become widely popular, many businesses still rely on mainframes to handle their most mission-critical tasks.
Mainframes are generally not considered to be particularly AI-capable. IBM wants to prove this wrong with the new z17.
Who wouldn't want predictive business insights in a week like this? (We jest, it can't solve for Trump tariffs) ...
A mainframe might use 32 of these chips, by the way. [Clamchowder] explains in the post how the cache has a unique architecture. There are actually ten 36 MB L2 caches on the chip. There are eight ...
Yet another important mainframe capability is its support for multi-model AI architecture, which can combine predictive AI models with Large Language Models like Encoder LLMs (to leverage ...
To consolidate hundreds of servers, you need the real thing: the virtual machine technology embedded in a mainframe architecture. Could it be that this old mainframe principle, which apart from a ...
If you look at a lot of instances in AWS or Azure or another hyperscaler, you’re looking at creating architecture patterns that basically emulate what you’re getting in the mainframe.” ...
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