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IBM z17: The First Mainframe Fully Engineered for the AI Age

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New Innovations Unlock Capabilities for Enterprise-Scale AI, Including Large Language Models and Generative AI 

User Experience Reimagined via new Assistants and Agents

ARMONK, N.Y., April 8, 2025 /CNW/ — IBM (NYSE: IBM) today announced the IBM z17, the next generation of the company’s iconic mainframe, fully engineered with AI capabilities across hardware, software, and systems operations. Powered by the new IBM Telum®  II processor, IBM z17 expands the system’s capabilities beyond transactional AI capabilities to enable new workloads.

IBM Z is built to redefine AI at scale, positioning enterprises to score 100% of their transactions in real-time.1 z17 enables businesses to drive innovation and do more, including the ability to process 50 percent more AI inference operations per day than z16.2 The new IBM z17 is built to drive business value across industries with a wide range of more than 250 AI use cases, such as mitigating loan risk, managing chatbot services, supporting medical image analysis or impeding retail crime, among others.

IBM z17 is the culmination of five years of design and development which included the filing of more than 300 patent applications filed with the US Patent and Trademark Office. Designed with the direct input of more than 100 clients and in close collaboration with IBM Research and Software teams; the new system introduces multi-model AI capabilities, new security features to protect data, and tools that leverage AI for improving system usability and management:

Bringing AI to Data – z17 AI inferencing capabilities are powered by a second-generation on-chip AI accelerator built into the IBM Telum® II processor, featuring increased frequency, compute capacity, a 40 percent growth in cache, enabling more than 450 billion inferencing operations in a day and one millisecond response time.2

Expanding Acceleration for AI – The IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, will provide additional AI compute capabilities to complement the Telum® II processor. Together, they will create optimized environments to support multi-model methods of AI. The Spyre™ Accelerator is specially engineered to bring generative AI capabilities to the mainframe including running assistants, leveraging enterprise data contained in the system.

Leveraging AI to Enhance User Experience – z17 is designed to bolster the skills and efficiency of developers and IT operations with the use of AI assistants and AI agents, including IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z. In addition, for the first time, watsonx Assistant for Z will be integrated with Z Operations Unite to provide AI chat-based incident detection and resolution using live systems data.

“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.”

Fully Integrated Across Hardware and Software 

IBM z17 is a system designed from the ground up to fully integrate into hybrid environments by tightly joining hardware innovations, software capabilities for AI, and rich support for open-standards and tooling. This enables differentiated performance and reliability while reimagining how developers and systems operators engage with and manage IBM Z, including:

Operating System for AI – IBM also previewed z/OS 3.2, the next version of its flagship operating system for IBM Z, planned to be released in the third quarter of 2025. z/OS 3.2 is designed to support hardware-accelerated AI capabilities across the system and operational AI insights for system management capabilities. Additionally, z/OS 3.2 will provide support for modern data access methods, NoSQL databases, and hybrid cloud data processing. These new capabilities will help AI software tap into a broader set of enterprise data and derive predictive business insights.

Unified IT Operations – Also announced today was IBM Z Operations Unite, which brings together key performance metrics and logs from multiple sources across IBM Z, in OpenTelemetry format, to streamline IBM Z operations with AI. The new solution is designed to accelerate the time to detect anomalies, isolate the impact of potential incidents, and reduce the resolution time. Used in conjunction with IBM Concert, operations teams can benefit from intelligent correlation of operational data across the entire enterprise. IBM Operations Unite will be generally available in May, 2025.

AI Accelerator for Business Efficiency – With the expansion options for the IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, IBM z17 aims to transform the user experience on the platform. Clients will be able to run IBM’s growing catalog of assistants and agents, based on IBM’s Granite models, natively on z17 without taking on the added risk associated with moving data or sensitive business logic off platform. Together, these solutions are engineered to form an optimized stack, to enable clients to drive more productivity with security and scale.

Built for Resiliency: Security and Cyber Defense at the Core 

IBM z17 furthers the platform’s history of strong security and resiliency capabilities. New developments in AI have enabled the deployment of added intelligence across this ever-growing area of importance for clients as new threats appear every day. This includes several new capabilities, including:

Secrets Management – Capabilities from HashiCorp, an IBM Company, announced in March are now available on IBM Z to help standardize secrets management across hybrid cloud. IBM Vault uses identity-based security to authenticate and authorize access to secrets, certificates, keys, tokens and other sensitive data. With the addition of IBM Vault, clients can have a single solution to help protect critical workloads by managing the entire secrets lifecycle across their full IT estate.

AI-powered Data Security – IBM intends to deliver new capabilities for discovering and classifying sensitive data on the platform. This would tap into Telum® II and utilize natural language processing so mission-critical data can be identified and protected. Additionally, our latest AI-driven security solution, IBM Threat Detection for z/OS, is designed to detect and identify potentially malicious anomalies that might be the result of a cyber-attack.

IBM Extends AI-Enabled Support to IBM z17

IBM’s tailored, comprehensive support experience helps IBM Z clients meet demands beyond traditional maintenance. Delivered by IBM Technology Lifecycle Services, IBM Support for z17 helps clients optimize their environments for peak performance to address risk and disruptions for mission-critical operations. IBM’s AI processes streamline incident remediation and help improve case resolution time, built on IBM watsonx, now support IBM Z systems.

IBM Delivers Secured and Agile Storage

IBM Storage DS8000 plays a key role as an integrated storage solution for IBM Z. The latest generation of IBM Storage DS8000 (10th Generation) is designed to harness the full power of IBM z17, providing organizations access to critical workloads, consistent and optimized data performance, and a modular architecture to adopt the latest IBM research-backed technologies to fuel business growth while monetizing data. Together, IBM Z and IBM Storage offer a modern infrastructure delivering a secured and agile platform for mission-critical workloads.

Availability 

IBM z17 will be generally available June 18, 2025 For more information, visit IBM.com/z17. The IBM Spyre™ Accelerator is expected to be available starting in Q4 2025. 

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM 

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service. 

Additional Sources 

Ecosystem & Skills blogSoftware blogz17 Support blogResearch blog

Media Contact: 

Chase Skinner 
IBM Communications
chase.skinner@ibm.com 

Aishwerya Paul
IBM Communications
aish.paul@ibm.com 

1. Claim –  Since the introduction of IBM z16 in 2022, IBM Z mainframes have been able to support AI inferencing directly in the mainframe, making it possible to score 100% of real-time transactions even in high-volume production environments.

Source – Celent report: “Mitigating Fraud in The AI Age” by Neil Katkov, 04/08/2025, commissioned by IBM

2. Claim – The percentage difference between IBM z17, that processes up to 450 billion inference operations per day with 1 ms response time using a Credit Card Fraud Detection Deep Learning model, and IBM z16, process up to 300 billion inference requests per day with 1ms response time using a Credit Card Fraud Detection model. For IBM z17 up to 450 billion inferences operations per day.

Disclaimer – For z17 performance result is extrapolated from IBM® internal tests running on IBM Systems Hardware of machine type 9175. The benchmark was executed with 1 thread performing local inference operations using a LSTM based synthetic Credit Card Fraud Detection model (https://github.com/IBM/ai-on-z-fraud-detection) to exploit the integrated Accelerator for AI. A batch size of 160 was used. IBM Systems Hardware configuration:  1 LPAR running Red Hat® Enterprise Linux® 9.4 with 6 IFLs (SMT), 128 GB memory. 1 LPAR with 2 CPs, 4 zIIPs and 256 GB memory running IBM z/OS® 3.1 with IBM z/OS Container Extensions (zCX) feature. Results may vary. For IBM z16, performance result is extrapolated from IBM internal tests running local inference operations in an IBM z16 LPAR with 48 IFLs and 128 GB memory on Ubuntu 20.04 (SMT mode) using a synthetic credit card fraud detection model (https://github.com/IBM/ai-on-z-fraud-detection) exploiting the IBM Integrated Accelerator for AI. The benchmark was running with 8 parallel threads each pinned to the first core of a different chip. The lscpu command was used to identify the core-chip topology. A batch size of 128 inference operations was used. Results were also reproduced using a z/OS V2R4 LPAR with 24 CPs and 256GB memory on IBM z16. The same credit card fraud detection model was used. The benchmark was executed with a single thread performing inference operations. A batch size of 128 inference operations was used. Results may vary.

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SOURCE IBM

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Simply announces compatibility with AI glasses from Meta

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April 29, 2026

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NEW YORK, April 29, 2026 /PRNewswire/ — Simply, the creative hobbies leader behind the market leading apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw, today announced compatibility with AI glasses from Meta.

 

The launch signals Simply’s next leap – from mobile and augmented reality into AI glasses – as part of its long–term vision to build a fully multimodal AI platform that connects physical creativity, digital experiences, and wearable interfaces.

After pioneering music learning through augmented reality with Simply Piano for Apple Vision Pro and Simply Piano for Android XR, Simply is now expanding its creative hobbies ecosystem into AI–powered wearables. The new integration with Simply Draw and AI glasses from Meta lets learners capture their drawing process in real time, generating AI–enhanced timelapses and shareable creative assets that showcase their creation. 

“This is an exciting step toward a new era for creativity,” said Yuval Kaminka, CEO and Co–Founder of Simply. “We believe that the way we experience the arts, learning, playing and creative expression at home will become fully contextual. AI glasses allow us to move closer to a true AI creative companion – a multimodal AI, one that understands what you’re doing and supports you in the moment.”

“AI glasses are becoming a natural extension of how we learn and create,” added Eliran Douenias, Head of Product Innovation at Simply. “Our products already enable immersive and virtual experiences with XR and spatial computing, now we’re adding AI glasses from Meta as the next interface – and it’s just the first of an exciting roadmap ahead.”

“Simply’s early move into the AI glasses space puts us ahead of the curve and positions us to lead in how wearables – specifically AI glasses – become part of everyday creative life,” said Douenias.

With this launch, Simply is expanding its platform for the AI era. The new compatibility with AI glasses from Meta enhances how learners see, capture, and share their creative process, with many more experiences to follow.

About Simply

Simply is the world’s leading AI creativity platform redefining how people learn and express themselves through music, arts, crafts, and more. Its award–winning apps – Simply Piano, Simply Guitar, Simply Sing, and Simply Draw – have empowered millions globally to pick up and develop fulfilling creative hobbies that last.

Contact info: eliran@hellosimply.com

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Levine Leichtman Capital Partners Hires James Smith as Managing Director

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27 minutes ago

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April 29, 2026

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LONDON, April 29, 2026 /PRNewswire/ — Levine Leichtman Capital Partners (“LLCP”) announced today that James Smith has joined the Firm as a Managing Director in the Investment Management group. James will be based in LLCP’s London office.

Josh Kaufman, Head of Europe at LLCP, said, “We are thrilled to welcome James to LLCP. James adds valuable experience to the team within our core Business Services sector vertical. We look forward to the impact he will have as our European business and team continues to grow.”

James joins LLCP from Advent International where he was a senior member of the European Business & Financial Services team and participated in numerous successful transactions over his 12-year tenure. Prior to Advent, James worked at Bain & Company. James’ full biography can be found at https://www.llcp.com/team. 

About Levine Leichtman Capital Partners

Levine Leichtman Capital Partners, LLC is a middle-market private equity firm with a 42-year track record of investing across various targeted sectors, including Business Services, Franchising & Multi-unit, Education & Training and Engineered Products & Manufacturing. LLCP utilizes a differentiated Structured Private Equity investment strategy, combining debt and equity capital investments in portfolio companies. LLCP believes that by investing in a combination of debt and equity securities, it offers management teams growth capital in a highly tailored, flexible investment structure that can be a more attractive alternative than traditional private equity.

LLCP’s global team of dedicated investment professionals is led by 9 partners who have worked at LLCP for an average of 20 years. Since inception, LLCP and its affiliates have managed approximately $18.5 billion of capital across nearly 20 investment funds and has invested in approximately 120 portfolio companies. LLCP currently manages $12.6 billion of assets and has offices in Los Angeles, New York, Chicago, Miami, London, Stockholm, Amsterdam and Frankfurt.

Media Contact: Isabel Moon, imoon@llcp.com

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Appian Advances AI in Process to Deliver Enterprise Outcomes at Scale

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27 minutes ago

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April 29, 2026

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New capabilities in agentic automation and AI-assisted spec-driven development transform complex work.

ORLANDO, Fla., April 29, 2026 /PRNewswire/ — Appian [Nasdaq: APPN] today announced enhancements to the Appian Platform, including AI-assisted spec-driven development and Model Context Protocol (MCP) integration for agents. By anchoring AI within processes, Appian eliminates the primary hurdles to AI value: fragmented data, and a lack of reliability and control. Process models provide the structure needed to deliver results safely, and at scale.

Advancements in AI agents enable more intelligent, coordinated work

AI agents in Appian are smarter, safer and more effective because they have better structure, context and guardrails. Appian is enhancing interoperability across its AI ecosystem. By adopting powerful standards like Model Context Protocol (MCP), Appian agents will be able to interface securely with external enterprise systems. Third party AI agents will have access to powerful Appian tools like data fabric which uniquely provides unified read-write access to enterprise data.

Appian is also advancing agent learning by providing users the ability to track agent performance, and then apply an agent’s memory across processes to improve decision making. Users will soon be able to expand on this by giving AI guidance on what objectives to optimize against and recommend improvements that can be applied safely.

Customer value

Global Excel Management, a worldwide healthcare risk management provider, uses Appian to transform claims processes with AI.

“As part of our digital transformation we are evolving our claims processes by transitioning from fragmented workflows to an enhanced level of operations using technological advancements enabled with AI features,” said Pascal Tanguay, SVP, Global Technology Services, Global Excel Management. “With Appian, our processes will be unified. From initial intake to adjudication, our advanced technology will reduce redundant tasks and lessen complexity for our team members. This ensures that our claims processes are consistent and completed more efficiently and accurately.”

Context gives agents a common vocabulary for business data

To support advanced agent capabilities, Appian is augmenting its industry-leading data fabric. Appian’s data fabric has been enhanced to provide a unified metadata model that gives agents clearer context about how information is structured and connected across systems.

Furthering its commitment to supporting industry-leading data platforms, Appian is launching a technology partnership with Snowflake. This unites Appian as the AI orchestration layer with Snowflake’s AI Data Cloud, combining data aggregation, model training, and process orchestration to enable immediate business value. Direct MCP-enabled integration between Appian data fabric and Snowflake equips agents with deep enterprise context, and allows them to interact directly with Snowflake Cortex AI to drive intelligent, data-backed decisions.

“Enterprises don’t need more AI experiments, they need AI that delivers real business outcomes on governed data,” said Baris Gultekin, Vice President of AI, Snowflake. “By combining Appian’s process orchestration and data fabric with the Snowflake AI Data Cloud, we’re bringing intelligence directly into the flow of work. Together, we enable secure, enterprise-grade AI where agents can access trusted data through Cortex AI, act with context, and drive measurable impact across the business.”

AI-assisted spec-driven development

AI-assisted development has revolutionized coding, but mission-critical work needs more than fast, cheap code. Appian puts structure around AI-assisted development. Without that structure, AI-generated code can introduce compliance issues and technical debt instead of business value.

Appian is introducing AI-assisted spec-driven development. AI extracts rich specifications from legacy applications to create a clear visual plan. This plan helps visualize the UI, data models and process flows for rapid and iterative operational improvements. AI developer agents, operating under human supervision, complete tasks according to specifications, accelerating delivery and reducing rework.

New developer MCP servers will allow organizations to use their choice of AI development tools, such as Claude Code or Kiro to build and update Appian applications. Appian will support a wide range of AI models, enabling teams to work in the environments they prefer.

Together, these enhancements will deliver the speed and developer productivity of AI-assisted development, with enterprise-grade control.

“Appian Composer, Agents and Appian MCP servers enable trusted agentic process orchestration and application modernization,” said Mike Beckley, Chief Technology Officer and Founder of Appian. “Composer complements Appian’s agentic orchestration and data fabric with new spec-driven development tools that are both conversational and iterative. Beneath the covers, Appian Composer is built on Appian’s new open MCP – a model-driven representation of your complete application estate—requirements, apps, data entities, logic, workflows, security/governance rules, integrations, and multi-object dependencies—now exposed as context for developers and agents to safely evolve and optimize.”

The advancements announced today were unveiled at Appian World 2026 and will be available in coming releases. Learn more at www.appian.com

About Appian

Appian provides process automation technology. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We’ve been automating processes for 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN]

Follow Appian: LinkedIn, Youtube, Instagram, Facebook, and X.

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