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AI IBM Hardware

The First IBM Mainframe For AI Arrives (zdnet.com) 24

An anonymous reader quotes a report from ZDNet, written by Steven Vaughan-Nichols: Mainframes and AI? Isn't that something like a Model-T Ford with a Tesla motor? Actually, no. Mainframes are as relevant in 2022 as they were in the 1960s. IBM's new IBM z16, with its integrated on-chip Telum AI accelerator, is ready to analyze real-time transactions, at scale. This makes it perfect for mainframe mission-critical workloads such as healthcare and financial transactions. This 21st century Big Iron AI accelerator is built onto its core Telum processor. With this new dual-processor 5.2 GHz chip and its 16 cores, it can perform 300 billion deep-learning inferences per day with one-millisecond latency. Can you say fast? IBM can.

Anthony Saporito, a senior technical staff member for IBM Z hardware development, said "One of the Telum design's key innovations is we built an AI accelerator right onto the silicon of the chip and we directly connected all of the cores and built an ecosystem up the stack. Through the hardware design, firmware, the operating systems, and the software, deep learning is built into all of the transactions." According to Patrick Moorhead, Moor Insights & Strategy's chief analyst, "The AI accelerator is a game-changer. The z16 with z/OS has a 20x response time with 19x higher throughput when inferencing compared to a comparable x86 cloud server with 60ms average network latency."

The new model z16 also includes a so-called quantum-safe system to protect organizations from near-future threats that might crack today's encrypted files. This is done with the z16's support of the Crypto Express8S adapter. Built around a CCA cryptographic coprocessor and a PKCS #11 cryptographic coprocessor, it enables users to develop quantum-safe cryptography. It also works with classical cryptography. If you want your data and transactions to be safe both today and tomorrow, this deserves your attention.

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The First IBM Mainframe For AI Arrives

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  • Or is it the first dupe . . . with AI!!!
  • by ItsJustAPseudonym ( 1259172 ) on Wednesday April 06, 2022 @08:10PM (#62423976)
    This dupe could have been avoided, if Slashdot were using the new IBM z16 mainframe [slashdot.org].
  • It can make an incorrect inference a billion times a day.
  • Still around, aren't they? Still running, aren't they? Still doing what they were designed to do, aren't they? For some applications, big iron's still the only way to go.

    Ignore IBM's marketing droids - they're miswired by design, I think they may have licensed their software from Dollarsoft. Certainly not Macintoss. Either way, yeah, the new system [may|may not] be vulnerable to attack by Quantum Cryptography, but I'm certain it is capable of reliable Deterministic Computing.

    (as long as there are no

  • Why didn't they call it HAL-9000? And is it going to be deployed in the ISS?

  • ...but a BRAIN-frame?

  • So ZDNet appears to just be publishing press releases unedited these days. Tell me this wasn't 100% written by IBM's marketing department.

  • 20 years ago, some crazy at IBM, using IBM's VM (which they've had since the seventies) maxed out a mainframe at 48,000 instances of Linux, all running at the same time. The same mainframe ran just fine with 32,000 instances.

    Now, how many servers do you need to run 32k vm's of Linux, without being bogged down? Pulling a number out of my hat, a thousand? At, oh, speaking as someone who configured and ordered servers for 8 or 9 years (until 2019), we're talking well over $100k. Oh, wow, with all that, a mainf

    • I think that would be really dependent on what an "instance" is.

      I could probably throw a solid 1 or 2 thousand "instances" of an absolute bare-minimum Linux VM onto one of our 128-core 512G-ram systems that occupies all of 2U, but I won't kid myself into thinking they'd be doing anything useful with 384M of memory and an average of 1/8 of a core.

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