IBM has released the latest version of its mainframe, the z17, aimed at supporting AI workloads and inferencing.
The company said its research shows 88% of global IT executives believe that application modernization is crucial, and that more than three-quarters reckon that mainframes will continue to be central to digital transformation.
According to IBM, the z17 has been designed with the direct input of more than 100 clients and in close collaboration with the IBM Research and Software teams.
The new system allows enterprises to score 100% of their transactions in real-time, and is targeted at more than 250 new AI use-cases, such as mitigating loan risk, managing chatbot services, supporting medical image analysis or tackling retail crime.
"The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on," said Ross Mauri, general manager of IBM Z and LinuxONE, IBM.
"With z17, we're bringing AI to the core of the enterprise with the software, processing power, and storage to make AI operational quickly. Additionally, organizations can put their vast, untapped stores of enterprise data to work with AI in a secured, cost-effective way."
Under the hood of the z17 mainframe
Powered by the new IBM Telum II processor, the z17 can process 50% more AI inference operations per day than its predecessor, the z16, IBM said.
It has multi-model AI capabilities, new security features to bolster data security, and tools designed to leverage AI for improving system usability and management.
In particular, its AI inferencing capabilities are powered by a second-generation on-chip AI accelerator built into the Telum II processor. This, IBM noted, provides better frequency and compute capacity and a 40% boost to cache, enabling more than 450 billion inferencing operations in a day and one millisecond response times.
The IBM Spyre Accelerator - expected to be available via PCIe card by the end of the year - will bring additional AI compute capabilities aimed at supporting multi-model methods of AI.
This has been specially engineered to bring generative AI capabilities to the mainframe, including running AI assistants by leveraging enterprise data contained in the system.
AI assistants and AI agents are included, such as IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z. Watsonx Assistant for Z will also, for the first time, be integrated with Z Operations Unite to provide AI chat-based incident detection and resolution using live systems data.
The company also previewed z/OS 3.2, the next version of its operating system for IBM Z, which is expected to be released by the end of the year.
It's designed to support hardware-accelerated AI capabilities across the system and operational AI insights for system management capabilities, along with support for modern data access methods, NoSQL databases and hybrid cloud data processing.