IBM now offers Tailored Fit Pricing options for hardware and software with an eye toward hybrid-cloud enterprises. Credit: IBM IBM continues to tweak its venerable mainframe to keep the Big Iron among the talking points in hybrid cloud. About a year ago the company changed its 20-year mainframe software pricing scheme to make it more palatable to hybrid cloud and multicloud users who might be thinking of moving workloads off the mainframe and into the cloud. Already IBM’s Tailored Fit Pricing for the IBM Z mainframe offers two consumption-based pricing models that can help customers cope with ever-changing workload—and hence software—costs. More on the IBM mainframe: Still not dead: The mainframe hangs on, sustained by Linux and hybrid cloud Now it has brought that same as-needed pricing scheme to the hardware side of the Z under the name Tailored Fit Pricing for IBM Z – Hardware Consumption Solution. It offers what IBM calls a “more standardized and transparent cloud-like hardware pricing model with combined base capacity and consumption-priced capacity.” “To meet the demands of modern workloads IBM Z hardware can now include, on top of the customers’ base capacity, a subscription-based corridor of pay-for-use capacity,” Tina Tarquinio, Director of IBM Z Platform Product Management wrote in a blog outlining the new pricing. The corridor allows for better efficiency, reduced overhead, and shorter response times in times of need. The idea is that this always-on corridor-priced capacity will help alleviate the impact of short unpredictable spikes in workload that are becoming more common in today’s digital world, Tarquinio stated. “The usage charges have a granularity of one hour and are based on actual million-service-units—or the measurement of mainframe CPU usage per-hour—consumed as measured by the Sub Capacity reporting Tool (SCRT), not full engine capacity,” IBM stated. The SCRT analyzes the IBM Z’s utilization data. The new offering is available for customers with IBM z15, z/OS general-purpose central processors and customers already using Tailored Fit Pricing for IBM Z software. IBM Z ecosystem partners also announced support for IBM Z Tailored Fit Pricing for Hardware Consumption Solution, including BMC, Broadcom, and Precisely. On the mainframe-software side, Tailored Fit Pricing removes the need for complex and restrictive capping, which typically weakens responsiveness and can impact service-level availability, IBM said. Systems can now be configured to support optimal response times and service level agreements, rather than artificially slowing down workloads to manage software licensing costs, IBM stated. Combining the hardware and software consumption options gives customers flexibility in how they use the Big Iron. “Greatly improved pricing predictability and transparency as customers manage their existing workloads and introduce new ones on to the Z platform whilst they consider including IBM Z in future architectures such as hybrid cloud, Tarquinio stated. “The model enables customers to leverage all machine resources at their disposal as and when they need it without the limiting peak-price factor.” Related content news Dell provides $150M to develop an AI compute cluster for Imbue Helping the startup build an independent system to create foundation models may help solidify Dell’s spot alongside cloud computing giants in the race to power AI. By Elizabeth Montalbano Nov 29, 2023 4 mins Generative AI Machine Learning Artificial Intelligence news DRAM prices slide as the semiconductor industry starts to decline TSMC is reported to be cutting production runs on its mature process nodes as a glut of older chips in the market is putting downward pricing pressure on DDR4. By Sam Reynolds Nov 29, 2023 3 mins Flash Storage Technology Industry news analysis Cisco, AWS strengthen ties between cloud-management products Combining insights from Cisco ThousandEyes and AWS into a single view can dramatically reduce problem identification and resolution time, the vendors say. By Michael Cooney Nov 28, 2023 4 mins Network Management Software Cloud Computing opinion Is anything useful happening in network management? Enterprises see the potential for AI to benefit network management, but progress so far is limited by AI’s ability to work with company-specific network data and the range of devices that AI can see. By Tom Nolle Nov 28, 2023 7 mins Generative AI Network Management Software Podcasts Videos Resources Events NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe