IBM z16 processes 300 billion artificial intelligence operations per day – Tecnoblog

Whoever thinks that is wrong mainframes no longer evolve. This Tuesday (5), IBM made the official announcement of the IBM z16, its new generation of type equipment. With the help of an artificial intelligence accelerator, the novelty is able to analyze millions of transactions in real time to prevent credit card fraud and deal with several other tasks that require immediate response.

IBM z16 (image: publicity/IBM)
IBM z16 (image: publicity/IBM)

If you’re not in the know, the technoblog What mainframe is here, but here’s a quick explanation: Mainframes are large, high-performance computers designed to process data on a large scale.

IBM has been designing mainframes since the 1950s, so it is one of the pioneers in this area. The IBM z16 arrives as the successor to the IBM z15, the mainframe that the company announced in October 2019.

One of the attractions of the new version is IBM Telum. This is the name of an eight-core, 22 billion-transistor processor presented by the company in 2021 that, in addition to these features, has an artificial intelligence accelerator that adds more than 6 teraflops of processing power to the chip.

What is the IBM z16 capable of?

These and other characteristics make the IBM z16 specially prepared to prevent fraud in the financial system — but, yes, it can be used in other applications. According to the company, this is possible because the mainframe “can process 300 billion inference operations per day with just one millisecond of latency”.

What does that mean? That the IBM z16 performs monstrously! But let’s go into a little more detailed explanation.

An inference can be understood as the operation that is performed by a system based on neural networks — a concept closely linked to artificial intelligence — properly trained. The result of each operation consists of a forecast that can be used for immediate decision making, for example.

And the latency? Think of it as the response time it takes the computer to process the task and deliver the result. The lower this number, the better.

In its tests, IBM claims that it tested the IBM z16 on a version with 48 IFLs (for Integrated Facility for Linux, a type of processor dedicated to workloads on Linux) and 128GB of RAM. Based on Ubuntu 20.04, the mainframe ran a credit card fraud detection system that could process 300 billion inference operations in a single day, each with a latency of just a millisecond.

IBM z16 (image: publicity/IBM)
IBM z16 (image: publicity/IBM)

Fraud prevention and more

Directing efforts towards fraud prevention is no mere chance. Based on a global study by the Nilson Report published in December 2021, IBM highlights that the financial sector lost more than $32 billion in that year alone because of card fraud.

But the mainframe also finds use in several other applications, as already mentioned. IBM itself gives some examples:

  • loan approval: to speed up the approval of business or consumer loans;
  • Compensation and settlement of values: to determine which trades and/or transactions may have a high risk exposure before settlement occurs;
  • Federated learning for retail: for better modeling of risk against fraud and theft.

Because it handles such critical operations, the IBM z16 also has security features to protect itself. One of them is Secure Boot, which prevents attackers from injecting malware into the mainframe boot process.

Another is a quantum security mechanism that is based on a lattice-based cryptography system (a type of mathematical structure).

Interested organizations will be able to access the IBM z16 starting May 31.

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