
IBM unveils first mainframe fully engineered for AI Age
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% 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.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Trade Arabia
10-06-2025
- Trade Arabia
IBM to build first large-scale, fault-tolerant quantum computer
IBM unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing. Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (10^48) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers. IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer. "IBM is charting the next frontier in quantum computing," said Arvind Krishna, Chairman and CEO, IBM. "Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business," he noted. A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization. According to IBM, the Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits. A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors, it stated. Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations. Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale, said the statement from IBM. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. According to IBM, a practical, large-scale, fault-tolerant quantum computer requires an architecture that is: *Fault-tolerant to suppress enough errors for useful algorithms to succeed. *Able to prepare and measure logical qubits through computation. *Capable of applying universal instructions to these logical qubits. *Able to decode measurements from logical qubits in real-time and can alter subsequent instructions. *Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms. *Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure. Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture. The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes, while the second one describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources.


Daily Tribune
04-06-2025
- Daily Tribune
UiPath Appoints Sara Al-Alsheikh as Regional Vice President to Spearhead Agentic Automation Growth in the Gulf
UiPath (NYSE: PATH), a global leader in agentic automation, has announced the appointment of Sara Al-Alsheikh as the new Regional Vice President and Managing Director for Saudi Arabia, Kuwait, and Bahrain. This strategic move aims to drive the adoption of AI-powered automation across key Gulf markets, as demand for digital transformation solutions continues to surge. Based in Riyadh, Al-Alsheikh becomes UiPath's first female leader in the region, underscoring the company's commitment to diversity and inclusion. She will be responsible for overseeing the company's go-to-market strategy, strengthening the regional partner ecosystem, and ensuring customer success in key sectors such as government, banking, and oil and gas. Her leadership will also extend to managing the UiPath regional hub in Riyadh. With more than a decade of experience at top global technology firms including HP, IBM, and SAP, Al-Alsheikh brings a strong track record in public sector innovation and digital transformation. Since joining UiPath in 2023 as Director of Public Sector and Public Investment Fund (PIF) Accounts, she has worked closely with strategic clients to deliver impactful automation solutions. Her appointment comes at a time when the Gulf region is witnessing rapid digital growth, driven by national strategies such as Saudi Arabia's Vision 2030. UiPath's cutting-edge agentic automation platform — recently relaunched as the first enterprise-grade solution of its kind — positions the company to play a key role in this transformation by enabling organizations to integrate AI agents, software robots, and human collaboration seamlessly. 'I could not be more thrilled to step into this leadership role at such a pivotal time when the Kingdom is accelerating its digital transformation roadmap and making AI a cornerstone of its strategy,' said Sara Al-Alsheikh. 'My mission is to help our clients reimagine how work gets done faster, smarter, and more autonomously thanks to agentic automation, with UiPath at the core of their innovation journey.' Al-Alsheikh's leadership reflects the Kingdom's broader commitment to empowering women in high-impact roles, aligning with national goals to foster innovation, inclusion, and sustainable growth.


Daily Tribune
26-05-2025
- Daily Tribune
IBM Slashes 8,000 Jobs While Quietly Expanding AI Workforce
Tech giant IBM has laid off approximately 8,000 employees—mostly from its human resources departments—as part of a sweeping internal overhaul. But even as pink slips were issued, the company quietly increased its global headcount, signaling a shift from traditional roles to AI-driven functions. This restructuring effort is not just about cost-cutting. At its core, it represents a redefinition of the modern workforce, driven by artificial intelligence and evolving workplace dynamics. IBM's total headcount now exceeds 270,000 employees worldwide, even after the recent layoffs. Much of this growth is thanks to a pivot toward roles in software development, AI engineering, sales, and strategic marketing, areas where human creativity and insight remain irreplaceable. ⚙️ AskHR: The AI Engine Behind the Shift Central to IBM's transformation is AskHR, the company's in-house AI platform that now handles 94% of HR-related interactions, including payroll queries, leave applications, and document management. In 2024 alone, AskHR processed 11.5 million engagements, delivering an estimated $3.5 billion in productivity gains across over 70 job categories. While that level of automation drastically reduces the need for HR staff, it also highlights the future of administrative work: leaner, faster, and increasingly digital. Still, AskHR isn't perfect. About 6% of employee queries still require human resolution—mostly in complex or sensitive situations—underscoring the enduring value of human judgment. 🧠 CEO Arvind Krishna's 'Ready to Be Fired' Mindset At the heart of this cultural evolution is CEO Arvind Krishna, who introduced a bold mindset across IBM: 'Live every day ready to be fired.' The mantra, he argues, encourages risk-taking and innovative thinking within an organization known historically for corporate conservatism. That approach seems to be paying off. Krishna told The Wall Street Journal that AI has not only boosted internal productivity but allowed the company to reinvest in uniquely human roles, rather than eliminate jobs wholesale. 🌏 Shifting Focus to India, Investing in the Future IBM's transformation is also global. The company continues to deepen its operations in India, capitalizing on the region's tech talent and cost efficiencies. This has contributed to a decline in U.S.-based roles, even as global hiring remains strong. IBM is also betting big on future technologies. In addition to AI investments like WatsonX, which allows businesses to build their own AI tools, the company has launched the z17 mainframe —a powerful server designed to run AI workloads on-premise, giving clients more control over sensitive data. This hybrid model of cloud and in-house computing reflects IBM's unique position in a market dominated by cloud-first rivals like AWS, Microsoft, and Google. 🔄 Redesigning the Workforce, Not Replacing It IBM's latest move highlights an emerging industry trend: automation is eliminating routine jobs while creating new demand for roles centered on human intuition, strategic thinking, and complex problem-solving. The challenge for IBM—and for corporations everywhere—is to reskill affected workers, communicate transparently, and embrace change with empathy. As the lines blur between human and machine tasks, IBM's evolving workforce strategy may become a template for tech companies navigating the age of intelligent automation.