Latest news with #IBMz17
Malaysiakini
29-05-2025
- Business
- Malaysiakini
IBM at the forefront: Where Agentic AI takes the lead
Malaysia's ambitions to become a regional AI and digital powerhouse gained fresh momentum at the IBM Tech Innovation Summit 2025 held in Kuala Lumpur recently, where IBM Malaysia unveiled a powerful suite of next-generation technologies designed to help enterprises scale AI securely and effectively. The summit convened policymakers, industry leaders, and technology experts to explore how artificial intelligence, infrastructure, and governance can together fuel national growth. In a keynote address that set the tone for the event, Minister of Digital YB Tuan Gobind Singh Deo called on businesses and institutions to act with urgency in adapting to the AI-driven future. 'Malaysia is racing to prepare for a tech-driven future,' he said. 'Those who fail to adapt risk falling behind.' Gobind emphasised that technology alone is not enough. For AI to deliver broad benefits, Malaysia must also strengthen its digital foundations - fostering trust, connectivity, and capability. Minister of Digital YB Tuan Gobind Singh Deo delivers his keynote address Since its formation in late 2023, the Ministry of Digital has already introduced key legislation, including the Cybersecurity Bill, Data Sharing Act, and updates to privacy laws, with the aim of building a secure and trusted digital ecosystem. 'This is just the beginning,' he added. 'We must invest in skills, encourage cross-sector data sharing, and ensure that public trust is at the heart of everything we build. We must build a future-ready nation - together.' Launching infrastructure for AI at scale Taking centre stage at the summit was the launch of IBM z17 and IBM LinuxONE 5, two ground-breaking platforms engineered to meet the demands of high-volume, enterprise-grade AI. IBM LinuxONE 5, the company's most secure Linux platform to date, is capable of processing up to 450 billion AI inference operations per day. It supports containerised workloads and promises up to 44 percent reduction in total cost of ownership over five years, compared to x86-based systems - making it a compelling choice for businesses seeking both performance and efficiency. IBM z17, meanwhile, brings AI to the core of enterprise operations. Powered by IBM's Telum II processor, it enables real-time scoring of 100 percent of transactions and supports more than 250 AI use cases, from mitigating loan risk and detecting retail fraud to powering medical image analysis. It also integrates quantum-safe encryption and advanced AI accelerators, ensuring both speed and security. In showcasing these platforms, IBM highlighted a central message: AI is only as powerful as the infrastructure behind it. Many organisations still struggle with poor data readiness, long deployment timelines, and difficulties integrating AI into existing systems. These new offerings aim to remove those barriers. From left: Alex Gogh, General Manager, IBM Z Stack and Systems Client Engagement and Nathan Dotson, Principal Product Manager, IBM z17, speaking during the launch of the IBM z17 mainframe From experimentation to execution In support of this, IBM also released findings from its latest survey with CEOs, which shows a striking trend: while AI investments are expected to more than double over the next two years, only 25 percent of initiatives have so far delivered the expected returns. However, optimism remains strong. By 2027, 85 percent of surveyed CEOs anticipate positive ROI from scaled AI efficiencies, while 77 percent expect returns from AI-fuelled growth and expansion. Speaking at the summit, Dickson Woo, Country General Manager and Technology Leader at IBM Malaysia, made it clear that the age of AI experimentation is over. Dickson Woo, Country General Manager and Technology Leader for IBM Malaysia 'True competitive advantage lies in purpose-driven AI integration that delivers measurable outcomes,' Woo said. 'In Malaysia, AI is set to unlock immense opportunities—driving innovation, boosting productivity, and opening new pathways for growth. IBM is combining hybrid technologies, agentic capabilities, and deep consulting expertise to help businesses operationalise AI and turn potential into performance.' Designing future-ready industries with agentic AI Another highlight of the summit was a powerful dialogue on agentic AI, a new paradigm where AI systems are capable of autonomously learning, deciding, and acting in complex environments. These systems go beyond conventional machine learning by initiating actions, optimising outcomes, and adapting over time - essential traits in today's fast-moving digital economy. With over a billion new apps projected by 2028, the digital landscape will become increasingly fragmented. Agentic AI offers a pathway to overcome that fragmentation by enabling scalable decision-making, operational agility, and intelligent automation across industries. 'IBM believes the potential for enterprise productivity lies in strategically managing all AI agents and assistants that work across enterprises,' said Woo. Today, IBM is excited to introduce a new orchestrator agent feature to IBM watsonx™ Orchestrate that uses fine-tuned foundation models within an agentic architecture to provide advanced reasoning capabilities and autonomous decision-making to quickly address employee needs. 'That's why IBM isn't just making agents, we're making it so that agents can get to work across businesses existing toolsets. IBM's open approach combined with deep expertise in orchestration, integration and automation make us the trusted partner for enterprises looking to accelerate the adoption of agents and assistants.' said Woo. 'But to start actually putting agents into action, these agents must be able to connect and navigate an extensive, complex technology stack. Orchestration and automation are the secret weapons to unlock AI productivity — enabling businesses to connect and manage vast networks of agents and assistants across broad enterprise technology stacks,' he added. Experts at the summit also emphasised the need for cross-sector collaboration, responsible AI governance, and data readiness as core enablers of this shift. By combining agentic systems with secure infrastructure like IBM z17 and LinuxONE 5, businesses can move from isolated pilots to full-scale, real-time AI deployment. A trusted, inclusive digital economy As the digital economy evolves, Malaysia's approach - anchored in trust, infrastructure, and talent development - positions the country to lead in responsible AI adoption. The IBM Tech Innovation Summit reinforced the urgent need for stakeholders to work together to ensure AI delivers not just growth, but inclusive and sustainable impact. With the right platforms and policies in place, Malaysia is well on its way to becoming a regional hub for AI innovation - one that is secure, ethical, and built to last. In conversation: Creating clarity in crisis to supercharge business growth The IBM Tech Innovation Summit hosted a C-suite luncheon facilitated by Karamjit Singh, Founder and CEO of Digital News Asia,' where senior leaders across healthcare, finance, aviation, manufacturing, and telecoms gathered for an open and thought-provoking dialogue on the future of artificial intelligence and its role in building business resilience. One of the session's focal points was the healthcare sector, where discussions highlighted how artificial intelligence is already transforming care delivery - not as a future promise, but as a present reality. AI was framed not as a looming threat, but a powerful enabler across the healthcare system. From diagnostic support to remote monitoring, AI is helping providers make faster, more informed clinical decisions while simultaneously reducing operational costs and enhancing patient outcomes. However, several attendees also underscored that technology alone isn't the solution. Its effectiveness ultimately depends on how well people are prepared to use it and whether the surrounding ecosystem can support meaningful adoption. The C-Suite Luncheon in session This theme of responsible and purposeful AI adoption echoed throughout the luncheon. Leaders across industries agreed that while AI brings tremendous potential, it must be scaled with care. Concerns around data integrity, governance, and trust surfaced repeatedly, particularly in high-stakes sectors like healthcare and finance. Participants shared real-world strategies - from establishing AI ethics committees to developing on-premise applications that safeguard sensitive data - as they work to balance innovation with accountability. There was a collective call for more structured frameworks to evaluate AI risks by use case and to future-proof workforce capabilities. The conversation closed on a powerful note: true transformation doesn't come from adopting technology alone, but from reimagining how it serves people, purpose, and progress. As AI becomes more deeply embedded in the fabric of business, success will belong to those who lead with clarity, invest in capability, and remain grounded in ethical intent. The path forward may be complex - but it's also full of possibility.
Yahoo
22-04-2025
- Business
- Yahoo
Data Center Market Size Hits USD 1,008.65 Billion by 2034
According to Precedence Research, the global data center market size is valued at USD 386.71 billion in 2025 and it is estimated to hit approximately USD 1,008.65 billion by 2034, growing at a double-digit CAGR of 11.24% from 2025 to 2034. Ottawa, April 22, 2025 (GLOBE NEWSWIRE) -- The data center market is expected to grow at a compound annual growth rate (CAGR) of 11.24% over the next decade. The total market size is projected to rise from USD 347.64 billion in 2024 to more than USD 386.71 billion in 2025. The data center industry is expected to exceed $906.73 billion by 2033, according to a new forecast from the market insights company Precedence Research. The North American market was evaluated at USD 142.53 billion in 2024 and is registering a solid CAGR of 11.38% during the forecast period. The Complete Study is Now Available for Immediate Access | Download the Sample Pages of this Report@ The versatile applications of artificial intelligence, cloud computing, and digital infrastructure, and the increased need for data storage, data processing, and data retrieval, accelerate the growth of the data center market. Data Center Market Key Findings: North America contributed more than 41% of the market share in 2024. Asia Pacific is projected to grow at a significant CAGR between 2025 and 2034. By component, the solution segment accounted for the major market share of 65.76% in 2024. By component, the services segment is expanding at a solid CAGR from 2025 to 2034. By type, the hyperscale segment is expected to expand at the fastest CAGR over the projected period. By enterprise size, the small & medium enterprises segment is representing a fastest CAGR over the projected period. By end-user, the BFSI segment generated the highest market share in 2024. By end-user, the IT & telecom segment is growing at a notable CAGR over the projected period. The Comprehensive Support Services by IBM in 2025 Sr. No. Launch of the Service/Product 1. A new software solution named IBM Z Crypto Discovery and Inventory (IBM zCDI). 2. A next-generation mainframe named IBM z17, powered by a strong AI infrastructure. 3. The first mixture of experts (MoE) models, named Llama 4 Scout and Llama 4 Maverick. 4. AI Assistants with Matt Vest 5. CP4I for B2B and Managed File Transfer (MFT) capabilities. Data Center Market Overview: A data center is an ideal place to store vast amounts of data, computing machines, hardware equipment, etc. A data center market is driven by computing infrastructure used by IT systems such as data storage drives, servers, and network equipment. Data centers are beneficial in providing backup power during power outages. They also provide temperature-controlled facilities to extend the lifespan of equipment. The ease of implementing security measures to achieve compliance with data laws drives the market's significance. The evolution of modern data centers is leading to better management of IT complexity. The availability of several computing resources, file storage devices, block storage devices, and power subsystems boosts the expansion of these innovative data center solutions. The accessibility to on-premise data centers, colocation data centers, and cloud data centers accelerates the adoption of digital services among consumers in the market. In February 2025, NTT announced the launch of a new data center in West Bengal, India. For questions or customization requests, please reach out to us at sales@ Major Key Trends in the Data Center Market Generative AI Solutions: It is easy to customize the data of your own company and combine it with other advanced technologies to create useful applications. Several vendors are preferring this approach to benefit their businesses. Also Read: Generative AI Market Size Projected Growth from USD 37.89 Billion in 2025 to USD 1005.07 Billion by 2034 at a CAGR of 44.2% Hybrid Cloud: Rapid customization and the combination of several applications that can run on-premises than those apps that run in the cloud are possible, this has also boosted the demand for data center outsourcing. There is a great shift towards more modular software architectures, higher-bandwidth networks, faster APIs, distributed cloud infrastructure, and low-code/no-code tools to achieve the above purpose. Multicloud Users: The major cloud providers provide support for the connections between their platforms, protocols, tools, and standards that enable one to run workloads. According to Oracle, 98% of enterprises use more than one cloud provider. Limitations & Challenges in the Data Center Market Establishment of Specialty Cloud Providers: It becomes difficult to launch a new data center due to power and grid constraints. Many enterprises fail to afford, build, and expand new data centers, due to which AI cloud providers and specialty GPU are rising to fill the gap. Increase in Power Demand: It becomes necessary to develop more energy-efficient hardware, utilize more renewable energy sources, and optimize current cooling systems. Renewable Energy Sources: It is critical to ensure balanced growth by achieving a sustainable and green IT infrastructure. There is a significant impact of using renewable energy sources such as wind, solar, and tidal. Development of Data Center Platforms: Market's Largest Potential In October 2024, Oracle announced the investment of above US$6.5 billion in artificial intelligence and cloud computing in Malaysia. Oracle planned to establish a cloud region in Malaysia, including more than 150 infrastructure and SaaS services. The company aims to encourage the country's digital economy and drive AI-powered innovation. The adoption of AI boosts the demand for data centers. The cloud platforms and AI compete with each other for data center bandwidth. There is a rise in the expansion of international data centers. The KKR, an investment firm, made a strategic partnership with Energy Capital Partners by investing up to $50 billion to encourage growth. Apple announced the launch of a 315,773 sq ft data center on the company's Waukee, Iowa campus. According to the survey conducted by NTT Corporation in September 2024, 68% of companies reported their inadequate capability to meet net-zero carbon emission goals. About 95% of respondents from enterprises think that they may lack to implement net-zero carbon emission plans. About 9% of enterprises reported their appropriate success in implementing net-zero targets. Data Center Market Report Scope Report Attribute Key Statistics Market Size in 2024 USD 347.64 Billion Market Size in 2025 USD 386.71 Billion Market Size by 2034 USD 1,008.65 Billion CAGR 11.24% Dominant Region North America Base Year 2024 Forecast Year 2025 to 2034 Historic Year 2020 to 2023 Segments Covered Component, Type, Enterprise Size, End User, and Regions Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa Countries Covered U.S., Canada, Mexico, China, Singapore, Japan, India, South Korea, Thailand, Germany, UK, France, Italy, Spain, Sweden, Denmark, Norway, Brazil, Mexico, Argentina, South Africa, UAE, Saudi Arabia, Kuwait and others Companies Covered Equinix, Inc., Digital Realty Trust, Inc., NTT Ltd., Global Switch Ltd., CyrusOne Inc., Interxion: A Digital Realty Company, China Telecom Corporation Limited, China Unicom (Hong Kong) Limited, AT&T Inc., Amazon Web Services, Inc. (AWS), Microsoft Corporation, Google LLC, IBM Corporation, Oracle Corporation, Cisco Systems, Inc., and others. Browse Our Subscription Plans@ What is the size of the U.S. Data Center Market? The U.S. data center market size was valued at USD 121.15 billion in 2024. The market is projected to grow from USD 134.77 billion in 2025 to USD 357.89 billion by 2034, exhibiting a CAGR of 11.44% during the forecast period. North America dominated the global market with the highest share of 41% in 2024. North America Upholds the Data Center Market: AI Revolution to Boom the Growth The North America data center market size was estimated at USD 142.53 billion in 2024 and is growing at a CAGR of 11.38% during the forecast period. In June 2025, Data Centers Expo North America is organized at the Santa Clara Convention Center, CA, USA, for which several experts from the largest data center providers will be present. This expo will focus on the AI revolution, achieving net-zero emission goals, meeting future data center demand, and data center liquid cooling. Moreover, it will explore the innovations and emerging trends that are driving the future of data centers. Also Read: Data Center Cooling Market Value Projected to Reach USD 226.39 Billion by 2034 Amid Rising Demand for Energy-Efficient Solutions The agenda of this expo will also be an energy-efficient generative AI. The increased demand for cloud services and GenAI has spurred the expansion of the data center market in North America. Google is making efforts to invest in large-scale data centers in this region, while Microsoft is also contributing to capital expenditures in the U.S. in 2025. Upward Trajectory of the Northern American Countries in the Digital Economy United States: The Amazon Web Services (AWS) invested over $108 billion in cloud computing infrastructure in the U.S. It contributes nearly $38 billion to the U.S. GDP by providing support to over 30,000 jobs per year in the local communities of AWS operations. It benefits the areas of construction, maintenance, connection, and operation of data centers. Canada: In April 2024, IBM announced the launch of a new cloud multizone region in Montreal, Quebec in Canada. IBM also announced the expansion of its cloud operations in Canada. This launch will enable Canadians to use generative AI and meet the needs related to data authority. Set up a meeting at your convenience to get more insights instantly! Asia Pacific Expands Rapidly in the Upcoming Period Asia Pacific is expected to witness the fastest rate of growth in the data center market during the predicted timeframe. In October 2024, Frost & Sullivan honored the ST Telemedia Global Data Centers (STT GDC) with the 2024 Asia Pacific Company of the Year award. The STT GDC company was recognized with this award for its strategic growth initiatives in the data center services industry. In October 2024, Hitachi Energy attended Asia's largest data center event, which delivered services, empowered customers and partners to manage the asset lifecycle from the start of life for a strong operational life to the end of life for replacement and decommission. Hitachi Energy itself aims to provide safe, smart, and sustainable power solutions for data centers. It also provides industrial power and automation solutions for 100 years. Also Read: Data Center As A Service Market Size to Hit USD 694.27 Billion by 2034 | CAGR 20.73% (2025–2034) Succeeding Path of Asia Pacific Countries towards Data Center Establishment Philippines: In July 2024, Equinix announced the acquisition of 3 new data centers in the Philippines from a leading technology solution company named Total Information Management. It was reported along with the expansions in Malaysia and Indonesia, which greatly enhance the company's footprint in this region. Singapore: In November 2024, Equinix announced the launch of a data center in Singapore, which aims to enable global businesses to utilize the next-generation workloads. The company announced the initial investment of US$260 million to establish the new facility named SG6. It will be the sixth International Business Exchange data center of Equinix in Singapore. Singapore is making significant investments in advanced technologies like quantum computing. It is one of the leading technology hubs of the Asia Pacific region. The country is also making efforts to establish an AI governance framework. Also Read: Surging Demand for Efficiency Drives Data Center Virtualization Market to USD 30.87 Billion by 2034 Data Center Market Segmentation Analysis: Component Analysis The solution segment dominated the market with the highest market share of 69.12% in 2024. The improved availability, enhanced security, increased efficiency, scalability, and cost-efficiency offered by the digital technology solutions drive the market's growth remarkably. Moreover, data accessibility, global connectivity, data protection, and business continuity help to optimize the business workflows. The increased utilization of existing resources, improved productivity and workflow, and improved collaborations across functional teams boost the adoption of digital tech solutions. The services segment is seen to grow at the fastest rate in the data center market in the upcoming years. The services, including installation, optimization, maintenance, and upgrading of the infrastructure, prove to be strategic for business firms and industries. The other services related to administration, software, and security also benefit the business operations. The complete IT management, physical infrastructure management, and several other services improve the overall portfolio in the market. Also Read: Software Defined Data Center Market to Surge Beyond USD 529.48 Billion by 2034, Growing at 22.90% CAGR Type Analysis The colocation segment led the data center market in 2024. The colocation data centers facilitate the use of servers and other equipment from several companies in a single data center. The availability of retail colocation, wholesale colocation, and hybrid cloud-based colocation expands the market. The reliability, improved performance, physical security, third-party maintenance, speed, and scalability offered by these services accelerate the market's growth. The hyperscale segment is observed to be the fastest-growing in the data center market during the forecast period. The major rationales behind the success of hyperscale data centers are site location, energy sources, automation, and security. The benefits, such as enhanced economies of scale, balanced workloads, enhanced energy efficiency, and improved cooling efficiency, boost the market's expansive reach. The ability of these services to rapidly meet the growing application demands drives the market significantly. Enterprise Size Analysis The large enterprises segment dominated the data center market in 2024. The large enterprises are beneficial for building data centers in accelerating the existing data center team and capacity delivery. They offer a business-objective-oriented approach and help to determine the required data centers. They help to set tailored business plans for delivering promising services. The small & medium enterprises (SMEs) segment is expected to witness the fastest rate of growth during the predicted timeframe. The on-demand scalability, strong security, expert support, and cost savings benefit the small & medium enterprises. The various enterprises related to AI, software, E-commerce, financial services, and healthcare also benefit from digital technology solutions. Also Read: Generative AI in E-Commerce Market Size Expected to Reach USD 3,519.84 Million by 2034 End User Analysis The BFSI segment led the data center market in 2024. The demand for secure and resilient data infrastructure by banks, insurance companies, and financial institutions drives the market's growth. The increased focus on regulatory compliance, enhanced cybersecurity, etc., accelerates the market's expansion. The increased dependency on hybrid cloud solutions for seamless operations boosts the expansive reach of the BFSI segment in the market. The IT & Telecom segment is anticipated to be the fastest-growing in the data center market over the forecast period. The strong infrastructure supports the rising demand for digital services and data storage. The integration of edge computing, 5G network deployment, and modular data center solutions drives the market's expansive reach. Related Topics You May Find Useful: The global data center security market size was estimated at USD 15.96 billion in 2024 and is predicted to increase from USD 17.89 billion in 2025 to approximately USD 49.08 billion by 2034, expanding at a CAGR of 11.89% from 2025 to 2034. The global data center colocation market size was estimated at USD 72.98 billion in 2024 and is predicted to increase from USD 81.88 billion in 2025 to approximately USD 226.39 billion by 2034, expanding at a CAGR of 11.99% from 2025 to 2034. The global modular data center market size is calculated at USD 30.95 billion in 2024 and is projected to surpass around USD 155.52 billion by 2034, growing at a CAGR of 17.52% from 2024 to 2034. The global micro data center market size was estimated at USD 7.48 billion in 2024 and is predicted to increase from USD 9.65 billion in 2025 to approximately USD 88.36 billion by 2034, expanding at a CAGR of 28.01% from 2025 to 2034. The global data center infrastructure management (DCIM) market size was estimated at USD 3.19 billion in 2024 and is predicted to increase from USD 3.67 billion in 2025 to approximately USD 13.10 billion by 2034, expanding at a CAGR of 15.17% from 2025 to 2034. The global internet data center market size was estimated at USD 55.15 billion in 2024 and is predicted to increase from USD 60.89 billion in 2025 to approximately USD 151.77 billion by 2034, expanding at a CAGR of 10.65% from 2025 to 2034. The global edge data center market size accounted for USD 15.46 billion in 2024 and is expected to be worth around USD 84.41 billion by 2034, at a CAGR of 18.5% from 2024 to 2034. The global cloud data center market size was estimated at USD 29.34 billion in 2024 and is predicted to increase from USD 32.28 billion in 2025 to approximately USD 75.40 billion by 2034, expanding at a CAGR of 9.90% from 2025 to 2034. The global green data center market size was estimated at USD 71.47 billion in 2024 and is predicted to increase from USD 85.08 billion in 2025 to approximately USD 392.08 billion by 2034, expanding at a CAGR of 18.56% from 2025 to 2034. The global data center storage market size accounted for USD 63.72 billion in 2024 and is projected to surpass around USD 208.96 billion by 2034, growing at a CAGR of 12.61% from 2024 to 2034. Data Center Market Top Companies Equinix, Inc. Digital Realty Trust, Inc. NTT Ltd. Global Switch Ltd. CyrusOne Inc. Interxion: A Digital Realty Company China Telecom Corporation Limited China Unicom (Hong Kong) Limited AT&T Inc. Amazon Web Services, Inc. (AWS) Microsoft Corporation Google LLC IBM Corporation Oracle Corporation Cisco Systems, Inc. Recent Breakthroughs in the Data Center Market In October 2024, IBM announced the launch of the first IBM Quantum Data Center in Europe, including an IBM Quantum Heron-based system with reduced error rates, 25 25-fold increase in speed, and 16 times better performance than 2022 IBM Quantum systems. In March 2025, Microsoft announced the launch of 3 data centers in Malaysia by mid-year, with an investment of up to $2.2 billion in the Southeast Asian country. The data center market research report is categorized into the following segments and subsegments: By Component Solution Services By Type Colocation Hyperscale Edge Others By Enterprise Size Large Enterprises Small & Medium Enterprises (SMEs) By End User BFSI IT & Telecom Government Energy & Utilities Others By Region North America U.S. Canada Mexico Asia Pacific China Singapore Japan India South Korea Thailand Europe Germany UK France Italy Spain Sweden Denmark Norway Latin America Brazil Mexico Argentina Middle East and Africa South Africa UAE Saudi Arabia KuwaitImmediate Delivery Available | Buy This Premium Research Report@ You can place an order or ask any questions, please feel free to contact at sales@ | +1 804 441 9344 Precedence Research offers exclusive subscription services designed to provide in-depth data and analytics insights. With a subscription, you gain access to a comprehensive suite of statistical resources, market intelligence, and research tools tailored to your business needs. Whether you're looking for industry trends, competitive analysis, or future market projections, our subscription plans ensure you stay ahead with reliable, up-to-date information. Browse Our Subscription Plans@ About Us Precedence Research is a worldwide market research and consulting organization. We give an unmatched nature of offering to our customers present all around the globe across industry verticals. Precedence Research has expertise in giving deep-dive market insight along with market intelligence to our customers spread crosswise over various undertakings. We are obliged to serve our different client base present over the enterprises of medicinal services, healthcare, innovation, next-gen technologies, semi-conductors, chemicals, automotive, and aerospace & defense, among different ventures present globally. 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Zawya
16-04-2025
- Business
- Zawya
IBM z17: The first mainframe fully engineered for the AI age
User Experience Reimagined via new Assistants and Agents Riyadh, Saudi Arabia – 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. 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 Fahad Alanazi, General Manager, IBM Saudi Arabia. '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 The IBM Spyre™ Accelerator is expected to be available starting in Q4 2025. 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.
Zawya
10-04-2025
- Business
- Zawya
IBM announces z17: The first mainframe fully engineered for the AI age
User Experience Reimagined via new Assistants and Agents DUBAI, UAE – 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 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. Media Contact: Chase Skinner IBM Communications Aishwerya Paul IBM Communications 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 ( 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 ( 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.
Yahoo
10-04-2025
- Business
- Yahoo
IBM (IBM) Introduces z17: 'AI Is Only as Powerful as the Infrastructure'
We recently published a list of . In this article, we are going to take a look at where International Business Machines Corporation (NYSE:IBM) stands against other AI stocks investors are watching today. Tech experts strongly believe that the new tariffs could potentially slow down the AI boom. 'The AI Revolution trade would be significantly slowed down by these head scratching tariffs that NEED to be negotiated to realistic levels.' In particular, Ives has noted how 'near-term pain' may extend longer due to the time required for manufacturing sites in the US to be built and the transition the workforce needs to be equipped with the necessary skills. 'The cost of labor is unrealistic in the U.S. to ever have semi fabs at scale,' READ ALSO: and . Even though the Trump administration had promised to maintain the US as a leader in artificial intelligence, the newly introduced tariffs may end up having the opposite effect. This is because they are directly impacting the AI industry. While the government may want more tech manufacturing in the US, the tariffs are undermining the fact that building and running advanced AI is very much still reliant on hardware made overseas, especially chips. 'This is becoming an explosion of global supply chain disorder and chaos. The ramifications are going to be very long and painful.' Spectators warn that the tariff war is like a tax on the AI system in the US, making things expensive for American developers. The policy doesn't make much sense as it tends to threaten the very AI technology that it aims to protect. Nevertheless, many others in the tech world are still quite optimistic. 'It doesn't seem to me that, of the things you could stop investing in, AI would be very high on the list. If I were a large industrial manufacturer right now, I'd be looking at ways to change my manufacturing location to lower the cost especially in a climate where there's already labor scarcity or excessive labor costs.' For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (). A closeup of a woman's hands typing rapidly on a laptop in a corporate office Business Machines Corporation (NYSE:IBM) is a multinational technology company and a pioneer in artificial intelligence, offering AI consulting services and a suite of AI software products. On April 8, the company announced the launch of the IBM z17, the next generation of the company's iconic mainframe. The IBM z17 is fully engineered with AI capabilities across hardware, software, and systems operations and is powered by the new IBM Telum® II processor. The mainframe will deliver significant business value across industries, offering more than 250 AI use cases. These include mitigating loan risk, managing chatbot services, inhibiting retail crime, and more. 'The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on. 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.' Overall, IBM ranks 10th on our list of AI stocks investors are watching today. While we acknowledge the potential of IBM as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than IBM but that trades at less than 5 times its earnings, check out our report about this . READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
