IBM has deepened its collaboration with Nvidia, introducing superior options for generative AI and knowledge administration. IBM additionally acquired the AI consultancy Hakkoda to strengthen its consulting providers in knowledge transformation. Moreover, IBM launched the z17 mainframe, designed to help AI workloads, and launched new autonomous safety instruments to boost menace detection.
Additionally Learn: Nvidia Proclaims USD 500 Billion Funding in US for AI Chip Manufacturing
Learn beneath for the seven key developments driving IBM’s newest developments in AI, safety, consulting, and enterprise infrastructure.
1. IBM and Nvidia Broaden Collaboration to Speed up Enterprise AI Adoption
IBM introduced on March 18, 2025, new collaborations with Nvidia, together with deliberate new integrations primarily based on the Nvidia AI Knowledge Platform reference design to assist enterprises extra successfully put their knowledge to work to assist construct, scale and handle generative AI workloads and agentic AI functions.
Additionally, IBM is planning to launch a content-aware storage (CAS) functionality for its hybrid cloud infrastructure providing, IBM Fusion; intends to increase its watsonx integrations; and is introducing new IBM Consulting capabilities with Nvidia to assist drive AI innovation throughout the enterprise, the corporate stated.
Leveraging the Nvidia AI Knowledge Platform reference structure, IBM stated these new options are the most recent within the IBM and Nvidia collaboration to construct enterprise infrastructure for AI.
The CAS allows enterprises to course of and extract insights from unstructured knowledge to help AI functions similar to retrieval-augmented technology (RAG) and reasoning. The answer integrates Nvidia BlueField-3 DPUs and Spectrum-X networking to speed up GPU-to-storage communication and can leverage Nvidia NeMo Retriever microservices constructed with Nvidia NIM.
IBM can also be increasing its watsonx.ai and watsonx.governance platforms to combine with Nvidia NIM. This transfer allows organisations to entry AI fashions throughout hybrid and multi-cloud environments whereas sustaining strong governance and monitoring of AI deployments. IBM says the mixing presents enhanced flexibility for enterprises constructing interoperable and accountable AI techniques.
In response to the rising compute calls for of generative AI and high-performance computing, IBM Cloud has launched Nvidia H200 Tensor Core GPU situations. These new choices are engineered for large-scale AI workloads and are anticipated to supply the efficiency wanted for coaching and deploying massive basis fashions, the corporate stated.
Additional strengthening its AI consulting capabilities, IBM is launching AI Integration Providers by means of IBM Consulting. These providers utilise Nvidia Blueprints to assist purchasers implement agentic AI throughout numerous industries. Use circumstances embody autonomous inspections in manufacturing and proactive video evaluation within the power sector. The consulting arm will even help enterprises in modernising compute-intensive workloads throughout hybrid cloud environments, utilizing Crimson Hat OpenShift and Nvidia AI applied sciences similar to NeMo, AI Enterprise, and Clara.
Based on a 2024 IBM report, 77 % of executives now consider generative AI is market-ready, up from 36 % in 2023. IBM and Nvidia stated this collaboration between them will allow IBM to supply hybrid AI options that make the most of open applied sciences and platforms whereas additionally supporting knowledge administration, efficiency, safety, and governance.
“IBM is targeted on serving to enterprises construct and deploy efficient AI fashions and scale with pace,” stated Hillery Hunter, CTO and Normal Supervisor of Innovation, IBM Infrastructure. “Collectively, IBM and Nvidia are collaborating to create and supply the options, providers and know-how to unlock, speed up, and defend knowledge – in the end serving to purchasers overcome AI’s hidden prices and technical hurdles to monetise AI and drive actual enterprise outcomes.”
“AI brokers must quickly entry, fetch and course of knowledge at scale, and right this moment, these steps happen in separate silos,” stated Rob Davis, vp, Storage Networking Expertise, Nvidia. “The combination of IBM’s content-aware storage with Nvidia AI orchestrates knowledge and compute throughout an optimised community cloth to beat silos with an clever, scalable system that drives close to real-time inference for responsive AI reasoning.”
2. IBM Acquires Hakkoda to Broaden Knowledge and AI Consulting Capabilities
IBM has acquired international knowledge and AI consultancy Hakkoda in a transfer to bolster IBM Consulting’s knowledge transformation providers and increase its AI-powered consulting capabilities. The acquisition, which closed on April 2, 2025, brings Hakkoda’s experience in fashionable knowledge platforms and generative AI into IBM’s portfolio of enterprise AI options.
Hakkoda, a Snowflake companion, specialises in knowledge property migration, modernisation, and monetisation. Its addition to IBM Consulting enhances IBM’s skill to assist purchasers construct built-in enterprise knowledge estates which are optimised for pace, price and effectivity throughout a number of enterprise use circumstances.
Hakkoda additionally brings a portfolio of generative AI-powered property that may pace up knowledge modernisation tasks, together with industry-tailored options in sectors similar to monetary providers, the general public sector, and healthcare and life sciences. Hakkoda will additional increase IBM’s skill to convey each consulting experience and AI to purchasers utilizing its AI-powered supply platform, IBM Consulting Benefit.
“IBM is at the forefront of the consulting {industry} with how we’re supercharging our consultants with AI,” stated Mohamad Ali, Senior Vice President and Head of IBM Consulting. “With Hakkoda’s knowledge experience, deep know-how partnerships and asset-centric supply mannequin, IBM might be even higher positioned to ship worth sooner to purchasers as they rework with AI.”
Erik Duffield, CEO and Co-founder of Hakkoda, emphasised the alignment in imaginative and prescient: “From the start, Hakkoda has dedicated to being ‘within the area,’ not observing the best transformation in historical past however shaping it.
International demand for enterprise intelligence providers is surging, with IDC estimating the market will develop from USD 169 billion in 2024 to greater than USD 243 billion by 2028, pushed by a 13 % compound annual development fee, IBM highlighted.
Headquartered in New York, Hakkoda expands IBM’s international consulting footprint with a workforce of specialists throughout the US, Latin America, India, Europe, and the UK. Monetary phrases of the deal weren’t disclosed.
3. IBM Unveils z17 Mainframe Engineered for the AI Age
IBM launched the IBM z17, the following technology of its flagship mainframe platform, constructed to embed synthetic intelligence (AI) throughout {hardware}, software program, and techniques operations. Powered by the brand new IBM Telum II processor, the z17 marks a major leap in enterprise computing, providing real-time AI processing, enhanced safety, and a modernised developer expertise.
The z17 expands IBM’s AI capabilities past transactional AI to allow new workloads, boasting the flexibility to deal with 50 % extra AI inference operations per day than its predecessor, the z16. Engineered to help over 250 enterprise AI use circumstances similar to mitigating mortgage threat, managing chatbot providers, supporting medical picture evaluation or impeding retail crime, the system positions enterprises to attain one hundred pc of transactions in actual time.
Based on IBM, the platform is the product of 5 years of growth and greater than 300 patent filings, constructed with direct enter from over 100 purchasers and in collaboration with IBM Analysis and Software program groups. Central to its design is the second-generation on-chip AI accelerator within the Telum II processor, which helps as much as 450 billion inference operations per day with sub-millisecond response instances.
Complementing the mainframe’s built-in AI, IBM will launch the IBM Spyre Accelerator in This autumn 2025 — a PCIe card designed to boost generative AI efficiency and help multi-model AI workloads. Based on IBM, this accelerator will enable purchasers to run AI assistants instantly on the z17 with out shifting delicate knowledge off-platform.
Builders and IT groups will even profit from built-in AI instruments similar to IBM watsonx Code Assistant for Z and watsonx Assistant for Z, now embedded in IBM Z Operations Unite. These instruments allow AI-driven incident detection and determination, streamlining techniques administration.
“The {industry} is rapidly studying that AI will solely be as beneficial because the infrastructure it runs on,” stated Ross Mauri, common supervisor of IBM Z and LinuxONE, IBM, in an announcement on April 8, 2025. “With z17, we’re bringing AI to the core of the enterprise with the software program, processing energy, and storage to make AI operational rapidly. Moreover, organisations can put their huge, untapped shops of enterprise knowledge to work with AI in a secured, cost-effective method.”
In tandem, IBM previewed z/OS 3.2, the following model of its working system, deliberate for Q3 2025. z/OS 3.2 will help hardware-accelerated AI and increase entry to NoSQL databases and hybrid cloud knowledge, enhancing enterprise insights from broader knowledge units.
IBM introduced the provision of IBM Vault, a secrets and techniques administration answer from HashiCorp that secures keys, certificates, and tokens throughout hybrid environments. Moreover, IBM plans to introduce AI-powered knowledge classification and menace detection on z/OS, serving to determine malicious exercise utilizing pure language processing and Telum II acceleration.
IBM can also be enhancing help providers for z17 by means of AI-driven lifecycle options delivered by IBM Expertise Lifecycle Providers. These providers purpose to enhance incident decision and operational effectivity for mission-critical workloads.
Availability
IBM z17 might be usually obtainable beginning June 18, 2025, with the IBM Spyre Accelerator anticipated in This autumn 2025.
Additionally Learn: IBM Releases New AI Fashions Constructed for Enterprise
4. IBM Proclaims USD 150 Billion Funding in America Over Subsequent 5 Years
IBM introduced plans to take a position USD 150 Billion in America over the following 5 years. This consists of an funding of greater than USD 30 billion in analysis and growth to advance and proceed IBM’s American manufacturing of mainframe and quantum computer systems, the corporate stated in an announcement on April 28, 2025.
“Expertise would not simply construct the longer term — it defines it,” stated Arvind Krishna, IBM chairman, president and chief govt officer. “We’ve been targeted on American jobs and manufacturing since our founding 114 years in the past, and with this funding and manufacturing dedication we’re making certain that IBM stays the epicenter of the world’s most superior computing and AI capabilities.”
IBM stated it manufactures the cutting-edge mainframes which are the know-how spine of the American and international economies in Poughkeepsie, New York. Greater than 70 % of the complete world’s transactions by worth run by means of the IBM mainframes which are manufactured proper right here in America, IBM stated.
IBM additionally added that it operates the world’s largest fleet of quantum pc techniques, and can proceed to design, construct and assemble quantum computer systems in America.
5. IBM Launches New Autonomous Safety Capabilities with Agentic AI
IBM launched new agentic and automation capabilities to its managed detection and response service choices to assist allow autonomous safety operations and predictive menace intelligence for purchasers. The corporate is launching the Autonomous Menace Operations Machine (ATOM), an agentic AI system offering autonomous menace triage, investigation, and remediation with minimal human intervention.
IBM can also be introducing the brand new X-Drive Predictive Menace Intelligence (PTI) agent for ATOM, which leverages {industry} vertical-specific AI basis fashions to generate predictive menace insights on potential adversarial exercise and minimise handbook menace searching efforts, in keeping with the corporate’s assertion on April 28, 2025.
“By delivering agentic AI capabilities, IBM is automating menace searching to assist enhance detection and response processes so purchasers can unlock new worth from safety operations and unencumber already scarce safety sources,” stated Mark Hughes, International Managing Associate for Cybersecurity Providers, IBM.
PTI is constructed on industry-specific foundational fashions and curates intelligence from over 100 sources, together with IBM’s personal X-Drive Menace Intelligence, open-source RSS feeds, APS, and client-specific organisational context.
With ATOM appearing as a vendor-agnostic digital operator, IBM allows integration with a wide selection of safety instruments from companions similar to Google Cloud, Microsoft, and others.
As a part of IBM Consulting’s broader cybersecurity providers portfolio, these enhancements purpose to streamline operations in Safety Operations Facilities (SOCs) and assist enterprises transition towards autonomous, AI-powered safety environments.
“New superior AI capabilities assist rework cybersecurity operations, driving effectivity and precision in menace searching, detection, investigation and response,” IBM stated.
Additionally Learn: IBM Examine Predicts Autos to Be Software program-Outlined and AI-Powered by 2035
6. Field and IBM Associate to Speed up AI Adoption for Enterprise Content material Workflows
Field, the Clever Content material Administration (ICM) platform, and IBM introduced on April 29 that they’re partnering to assist organisations speed up the adoption of enterprise-level AI for content-driven workflows utilizing IBM watsonx and Field AI. Moreover, Field is utilizing IBM watsonx.governance internally for life-cycle administration of AI fashions to observe, govern and supply guardrails for numerous laws.
“Nearly all of an organisation’s knowledge is commonly unstructured — buried inside contracts, spreadsheets, shows and extra. This knowledge will be extremely beneficial for AI, however typically extremely delicate. Constructing a trusted know-how pipeline for AI to entry this knowledge will be important for safety and compliance efforts, notably in extremely regulated industries,” the official launch stated.
Field clients now have the choice of leveraging Field AI with IBM watsonx to assist unlock the worth of their enterprise content material and knowledge. The answer makes use of IBM’s enterprise AI studio, watsonx.ai, to ship a number of fashions for Field AI – together with the open-source, IBM Granite fashions and the most recent Meta Llama fashions.
Based on Field and IBM, infusing AI capabilities into enterprise course of automation and content material administration might help organisations sort out a variety of AI-driven use circumstances similar to knowledge extraction, automated doc processing and content material evaluation. IBM is utilizing Field AI with IBM watsonx inside its personal workforce, and Field is now making this answer obtainable to different enterprise clients.
“The affect AI is having on the enterprise is not like something we have seen because the delivery of the web,” stated Aaron Levie, co-founder and CEO of Field. “Historically, data work has been constrained by the point it takes to analysis, create and assessment content material — however AI adjustments that, accelerating these processes exponentially. By deepening our partnership with IBM and leveraging watsonx, we’re empowering enterprises to harness AI responsibly and at scale.”
“Organisations are in search of purpose-built AI options that empower their groups to make sooner, data-driven choices,” stated Rob Thomas, Senior Vice President, Software program and Chief Industrial Officer, IBM. “Our partnership with Field allows companies to seamlessly combine AI into their core processes, serving to to boost productiveness and rework operations.”
Field makes use of IBM watsonx.governance internally to assist tackle accountable AI deployment throughout mannequin lifecycles, from growth to manufacturing. IBM has enabled Field AI with IBM watsonx to raise worker productiveness inside its personal workforce, offering them with interplay instantly with their Field content material. Field AI with IBM watsonx is now obtainable to Field Enterprise Superior clients through Field AI Studio and Field AI APIs, the official launch stated.
7. IBM and EY Launch EY.ai for Tax Constructed with IBM watsonx to Automate International Tax Compliance
IBM and EY on Thursday introduced the provision of EY.ai for tax, constructed with IBM watsonx. “The alliance {couples} watsonx, IBM’s portfolio of synthetic intelligence (AI) applied sciences, with the EY organisation’s deep area expertise to deal with the biggest challenges going through tax departments,” the businesses stated in a joint assertion on Might 1, 2025.
EY.ai for tax
EY.ai for tax, constructed with IBM watsonx, is powered by open-source AI fashions, together with IBM Granite, to assist organisations automate tax compliance and streamline international knowledge administration. With this announcement, IBM and the EY organisation are serving to purchasers tackle their restricted sources, a number of enterprise useful resource planning (ERP) techniques throughout shopper environments, expertise shortages and sophisticated laws by creating novel generative AI options that multiply productiveness, the official launch stated.
The suite is already operational inside IBM’s personal tax division, supporting its aim of automating 80 % of overseas tax compliance and delivering main effectivity beneficial properties.
“The options are presently in use by IBM’s Tax Division to automate beforehand handbook, time-consuming processes, and the options are anticipated to avoid wasting tens of 1000’s of hours yearly. By streamlining tax compliance with AI, IBM is on monitor to exceed its aim of automating 80 % of its overseas tax compliance. Prioritising safety and belief, these options assist safeguard delicate tax knowledge to assist keep away from potential destructive penalties, similar to pricey penalties and reputational injury,” IBM stated.
“The success of the alliance has been confirmed with the deployment of EY.ai for tax, constructed with IBM watsonx, with the IBM tax division. We flipped the long-held view of tax as an administrative operate to a price creation operate for companies with AI-enabled options which are extremely price efficient and performant all whereas prioritizing governance and belief,” stated Martin Fiore, EY Americas Deputy Vice Chair – Tax.
The First Three AI-Powered Options:
- Clever Tax Knowledge Lake: Constructed on watsonx.knowledge and watsonx.ai, this answer automates the ingestion, consolidation, and enrichment of tax knowledge from disparate sources. For IBM, it handles knowledge from 36 techniques, enabling high-quality knowledge output and minimising handbook reconciliation.
- Detect and Appropriate with Enterprise Paperwork: Utilizing watsonx.ai and IBM Analysis’s Docling toolkit, this method extracts and analyses knowledge from unstructured paperwork like invoices, evaluating it with ERP entries to determine and proper errors—dramatically rising processing capability.
- Withholding Tax Determinations: Constructed with watsonx.ai, this answer automates the analysis of withholding tax charges throughout 1000’s of intercompany transactions every month, bettering accuracy and pace whereas decreasing compliance dangers.
“We handle huge volumes of granular knowledge from disparate sources to file 1000’s of tax returns throughout tons of of authorized entities worldwide. By combining EY area experience in tax and IBM’s AI know-how, we have been capable of rework the way in which our tax division handles international tax compliance, releasing up the workforce to deal with extra strategic work,” stated IBM Vice President and Chief Tax Officer Kanthi Morrissey.
Based on the official launch, IBM and EY groups are working to additional improve these options and to increase them to different tax processes with an eye fixed in direction of additional re-use and functions.
