IBM Embeds Artificial Intelligence Processor Into Mainframe Chips
08:12AM Wed 8 Sep, 2021
- IBM Z mainframe gets AI acceleration
The CPU cores themselves are designed as a custom out-of-order execution pipeline with SMT2 (Simultaneous Multithreading with 2 virtual threads) and an operating frequency of over 5 GHz. The new Z/Arch provides some additional instructions for neural network processing, where the dedicated artificial intelligence accelerator comes into play.
The AI accelerator is interconnected with the CPU, where the CPU has a specific set of instructions that triggers the accelerator. It has a computing throughput of over 6 TeraFLOPs at FP16/FP32 workloads. It supports a wide array of machine learning libraries and allows the new processor to scale exponentially with every new chip added to the mainframe systems.
The next-generation IBM Z processor will use two of the 8-core Telum dies to form a 16-core dual-chip module, which is later scaled into a 4-socket drawer, 4-driver system, totaling 32 chips and 256 cores inside this 4-drawer system.
The most interesting part of the system is perhaps the aforementioned AI accelerator, which shows that AI workloads have finally reached a point where even the mainframe computers need to have them. For some business-critical fraud detection workloads, classical algorithmic detection is no longer sufficient, so the AI-enhanced software is becoming much more needed, and IBM sees the need for enabling this software to run much faster. For more information please take a look at the IBM Z website.
(Source: Tom's Hardware)