Latest news with #OpenShiftAI
Yahoo
22-05-2025
- Business
- Yahoo
F5 and Red Hat Expand AI Collaboration for Secure, Scalable Applications
On May 19, F5, Inc. (NASDAQ:FFIV) announced an enhanced partnership with Red Hat, the leading provider of open-source solutions, aimed at helping enterprises securely deploy and scale high-performance AI applications. The collaboration enables businesses to accelerate retrieval-augmented generation (RAG), model serving, and scalable data ingestion, fostering AI adoption without compromising security. A data analyst in front of a computer monitor, analyzing a series of financial trends. AI deployment is surging, with F5's 2025 State of Application Strategy Report showing that 96% of organizations are deploying AI models, a sharp increase from 25% in 2023. To meet this growing demand, F5 and Red Hat are prioritizing essential AI infrastructure, enabling businesses to enhance data pipeline security, improve inference performance, and efficiently scale AI solutions. The partnership focuses on enabling secure data flow, high GPU utilization, and fast response times for retrieval-augmented generation (RAG) and model serving at scale, accelerating extensive dataset processing for AI training and inference through MinIO and F5 on OpenShift AI, and strengthening AI security with an API-first approach to protect against threats like prompt injection, model theft, and data leakage using F5 Distributed Cloud WAAP and BIG-IP solutions. The collaboration highlights F5's commitment to open-source innovation, allowing businesses to adopt AI infrastructure flexibly. The initiative will be showcased at Red Hat Summit 2025 (May 19–22 in Boston), where experts will highlight real-world AI use cases, including secure model serving and scalable RAG workloads. While we acknowledge the potential of F5, Inc. (NASDAQ:FFIV) as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than FFIV and that has 100x upside potential, check out our report about the . READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
21-05-2025
- Business
- Business Wire
ROSSMANN Chooses Microsoft Azure Red Hat OpenShift to Power Agile Hybrid Cloud Strategy
BOSTON – RED HAT SUMMIT--(BUSINESS WIRE)--Red Hat, the world's leading provider of open source solutions, today announced that ROSSMANN, a leading German drugstore chain, is accelerating its digital transformation with a nimble hybrid cloud strategy powered by Microsoft Azure Red Hat OpenShift. With the platform, ROSSMANN now manages and orchestrates applications with greater flexibility across its on-premise and cloud infrastructure, meeting the growing demand for interoperability across platforms. For ROSSMANN, this strategic move towards automation, standardization and stability builds a scalable IT infrastructure that fuels continuous innovation and secures a long-term competitive edge. Facing increased internationalization and rapid growth, ROSSMANN selected Azure Red Hat OpenShift to build a modern IT architecture based on standardization, automation and orchestration. Using Azure Red Hat OpenShift, ROSSMANN is creating a more consistent and interoperable platform for its IT services. This solution not only facilitates the management of complex workloads, but also optimizes resource utilization and greater operational efficiency. Red Hat OpenShift's native Kubernetes support helps enable seamless automation of deployments and scaling processes, significantly accelerating development and operations workflows. With its modern IT infrastructure, ROSSMANN can adapt to evolving challenges with greater agility and fuel business growth. Azure Red Hat OpenShift is a robust and scalable platform for operating workloads across both cloud and on-premise environments. This hybrid deployment capability empowers ROSSMANN to strategically select the optimal environment based on workload-specific performance, compliance and latency needs, optimizing resource allocation and allowing for peak efficiency. This establishes a resilient IT foundation that provides high availability and supports long-term operational efficiency and competitiveness. Working closely with Red Hat, ROSSMANN is not only modernizing its IT landscape, but also laying the foundation for new strategic initiatives. Building on this modern foundation, ROSSMANN is strategically deploying Red Hat OpenShift AI to accelerate the operationalization and advancement of its existing AI initiatives and to pioneer future AI-driven use cases on the platform. Red Hat OpenShift AI delivers a unified AI platform for building, training, deploying and monitoring predictive and generative AI (gen AI) models at scale across hybrid cloud environments, transforming data into a strategic asset. Red Hat's vision: Any model, any accelerator, any cloud. The future of AI must be defined by limitless opportunity, not constrained by infrastructure silos. Red Hat sees a horizon where organizations can deploy any model, on any accelerator, across any cloud, delivering an exceptional, more consistent user experience without exorbitant costs. To unlock the true potential of gen AI investments, enterprises require a universal inference platform - a standard for more seamless, high-performance AI innovation, both today and in the years to come. Red Hat Summit Join the Red Hat Summit keynotes to hear the latest from Red Hat executives, customers and partners: Modernized infrastructure meets enterprise-ready AI YouTube) Hybrid cloud evolves to deliver enterprise innovation — Wednesday, May 21, 8-9:30 a.m. EDT (YouTube) Supporting Quotes Gregor von Jagow, country manager, Germany, Red Hat 'ROSSMANN relies on powerful cloud technologies to remain competitive in a dynamic market environment. Azure Red Hat OpenShift offers advanced automation and robust security, supporting more reliable workload operation. The Kubernetes-native platform enables ROSSMANN to efficiently manage containerized applications, implement continuous deployment and integrate DevSecOps practices. This technological foundation supports a flexible IT infrastructure that offers high availability and rapid scalability.' Stefan Kroll, head of IT operations strategy & architecture, ROSSMANN 'Our digital transformation requires a flexible and scalable IT architecture. With Microsoft Azure Red Hat OpenShift, we have found the ideal platform to efficiently manage our workloads and meet our growing requirements for a resilient infrastructure. In addition, with the new state-of-the-art technologies, we are also positioning ourselves as a forward-thinking employer in the IT sector that promotes innovation, uses modern development methods and offers its employees exciting career prospects in a technologically advanced environment.' Additional Resources Learn about recent enhancements to Red Hat OpenShift AI Learn more about Microsoft Azure Red Hat OpenShift Find out more about Red Hat AI Read more Red Hat customer success stories Connect with Red Hat About ROSSMANN ROSSMANN is a leading German drugstore chain known for offering a wide range of health, beauty, and household products. Founded in 1972, the company has grown to operate over 2300 in Germany and nearly 5000 stores across 9 European countries. ROSSMANN is renowned for its commitment to quality, affordability, and customer satisfaction, providing a diverse selection of both branded and private-label products to meet the daily needs of its customers. About Red Hat Red Hat is the open hybrid cloud technology leader, delivering a trusted, consistent and comprehensive foundation for transformative IT innovation and AI applications. Its portfolio of cloud, developer, AI, Linux, automation and application platform technologies enables any application, anywhere—from the datacenter to the edge. As the world's leading provider of enterprise open source software solutions, Red Hat invests in open ecosystems and communities to solve tomorrow's IT challenges. Collaborating with partners and customers, Red Hat helps them build, connect, automate, secure and manage their IT environments, supported by consulting services and award-winning training and certification offerings. Forward-Looking Statements Except for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.
Scoop
21-05-2025
- Business
- Scoop
F5 Expands Strategic Collaboration With Red Hat To Enable Scalable, Secure Enterprise AI
Press Release – F 5 Solutions address key challenges in enterprise AI adoptionenabling secure model serving, scalable data movement, and real-time inference across environments. F5 is collaborating with Red Hat to focus on the real-world building blocks enterprises … F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, today announced an expanded collaboration with Red Hat, the world's leading provider of open source solutions, to help enterprises deploy and scale secure, high-performance AI applications. By enabling integration for the F5 Application Delivery and Security Platform with Red Hat OpenShift AI, F5 customers can adopt AI faster and more securely, focusing on practical, high-value use cases such as retrieval-augmented generation (RAG), secure model serving, and scalable data ingestion. 'Enterprises are eager to harness the power of AI, but they face significant challenges in scaling and securing these applications,' said Kunal Anand, Chief Innovation Officer at F5. 'Our collaboration with Red Hat aims to simplify this journey by providing integrated solutions that address performance, security, and observability needs, enabling organisations to realise tangible AI outcomes.' This collaboration comes at a time when AI adoption is accelerating. According to F5's 2025 State of Application Strategy Report, 96 per cent of organisations are now deploying AI models, a significant increase from just 25 per cent in 2023. Additionally, the report highlights that 72 per cent of respondents aim to use AI to optimise application performance, while 59 per cent focus on cost optimisation and security enhancements. To support these growing demands, F5 is collaborating with Red Hat to focus on the real-world building blocks enterprises need to operationalise AI. From securing data pipelines to optimising inference performance, F5 solutions are tailored to help organisations deploy AI with confidence, speed, and control. Key areas of collaboration include: RAG and model serving at scale – F5 supports AI-powered applications on Red Hat OpenShift AI that combine large language models with private datasets, helping to ensure secure data flow, high GPU utilisation, and fast response times. Big data movement and ingestion – With MinIO and F5 working in tandem on Red Hat OpenShift AI, customers can accelerate the ingestion of large datasets for training and inference. API-first AI security – F5 provides robust protection against evolving threats like prompt injection, model theft, and data leakage through its F5 Distributed Cloud WAAP and F5 BIG-IP solutions. As part of its vision, F5 is committed to driving open source innovation through its collaboration with Red Hat. Red Hat OpenShift AI provides a modular, open platform for building and deploying AI applications across hybrid environments, while F5's API Gateway and AI security capabilities are designed to integrate more seamlessly—without locking customers into a single cloud or toolset. With this collaboration, F5 is helping organisations take an open, flexible approach to AI infrastructure using Red Hat OpenShift AI. 'As AI becomes core to how businesses operate and compete, organisations need platforms that offer flexibility without compromising security,' said Joe Fernandes, Vice President and General Manager, AI Business Unit, Red Hat. 'We believe the future of AI is open source, and Red Hat OpenShift AI, when used in combination with F5's robust security and observability, gives organisations the necessary tools to build and scale AI applications with greater confidence, anywhere they choose to run them.' The collaboration will be featured at this week's Red Hat Summit 2025 (May 19–22 in Boston), where F5 and its partners will highlight real-world AI use cases—including secure model serving and RAG workloads—built on Red Hat OpenShift AI. Supporting Resources: About F5 F5, Inc. (NASDAQ: FFIV) is the global leader that delivers and secures every app. Backed by three decades of expertise, F5 has built the industry's premier platform—F5 Application Delivery and Security Platform (ADSP)—to deliver and secure every app, every API, anywhere: on-premises, in the cloud, at the edge, and across hybrid, multicloud environments. F5 is committed to innovating and partnering with the world's largest and most advanced organizations to deliver fast, available, and secure digital experiences. Together, we help each other thrive and bring a better digital world to life.
Forbes
01-04-2025
- Business
- Forbes
IBM's Enterprise AI Strategy: Trust, Scale, And Results
I Watsonx AI IBM generative AI platform displayed on a smartphone. On 10 August 2023 in Brussels, ... More Belgium. (Photo illustration by Jonathan Raa/NurPhoto via Getty Images) BM has rapidly established itself as a serious enterprise AI contender. It combines a full-stack platform strategy, proprietary models, deep integration with Red Hat hybrid cloud infrastructure, and global consulting scale. It's executing a multi-pronged approach that is already delivering operational leverage and financial upside. Its approach is paying off. In its most recent earnings, IBM disclosed that it'd grown its book of AI-related business to $5 billion in less than two years, with approximately 80% of that stemming from consulting engagements and the remainder from software subscriptions. IBM detailed its AI strategy at its recent investor day. It's a strategy centered on a pragmatic, enterprise-first approach that can deliver trusted, efficient, and domain-relevant AI solutions. IBM's AI straetgy brings together infrastructure software from Red Hat, foundation models from IBM Research, customer enablement capabilities from IBM Consulting, and integration with a broad ecosystem of partners. Unlike some competitors focused on developing massive general-purpose models, IBM's bet is on smaller, specialized models, deployed across hybrid cloud environments, and tightly integrated with its consulting services and data platforms. The goal is to help businesses operationalize AI in a way that's scalable, secure, and aligned with real-world enterprise needs. This is an approach particularly well-suited for companies in regulated industries — such as financial services, healthcare, and government — where data security, governance, and compliance concerns are paramount. At the core of IBM's AI stack is watsonx, an end-to-end platform designed to support the entire AI lifecycle. Watsonx allows businesses to build and train models using both IBM's proprietary tools and open-source models while also enabling them to fine-tune those models using their proprietary data. One of the most critical components of this platform is Granite, IBM's family of smaller, purpose-built foundation models tailored for enterprise use cases like code generation, document processing, and virtual agents. These cost-efficient, interpretable models are built to perform well in sensitive, highly regulated environments. IBM has even open-sourced several Granite models to support transparency and community-led development. IBM's AI technology is further strengthened by its integration with Red Hat's hybrid cloud tools. OpenShift AI and RHEL AI provide the infrastructure to build, deploy, and manage AI applications across on-premises, private, and public cloud environments. This hybrid model offers flexibility for enterprises that need control over their data while still wanting the agility of cloud-native services. Global system integrators are integral to helping IT organizations navigate complex new technologies, especially enterprise AI. Enterprises often struggle to understand the new technology while also attempting to extract value quickly. GSIs thrive in this market, promising quick time-to-value for AI transformation projects. A defining strength of IBM's approach is the synergy between its AI stack and its global consulting business. IBM Consulting, with its 'hybrid by design' approach, is central in driving client adoption of watsonx and Granite. This helps enterprises bring AI into mission-critical workflows across HR, procurement, customer service, and supply chain operations. IBM Consulting competes directly against companies like NTT DATA, Deloitte, Cognizant, and Capgemini. Each of these companies has AI platforms in place and AI-specific engagement models that offer a compelling choice for enterprises. Partnerships play a critical role in IBM's AI strategy. The company has built a rich ecosystem of collaborators that includes hyperscalers, chipmakers, open-source communities, and enterprise software vendors. Rather than trying to build and control every component internally, IBM focuses on integrating and orchestrating AI capabilities across a broad range of technologies. This strategy enables IBM to deliver value through its innovations and the strength of its partner network. A example of this is IBM's integration of watsonx with platforms like SAP, Salesforce, and ServiceNow. Operating within familiar business applications allowsd customers to leverage IBM's AI without disrupting existing workflows. T Collaboration extends to the systems integrators and hardware vendors that form the backbone of many enterprise deployments. IBM is working alongside companies like Dell, Lenovo, and Nokia to deliver AI-ready infrastructure, and has formed go-to-market alliances with integrators and resellers to accelerate customer adoption. Financially, IBM's AI bets are translating into real momentum. In its latest earnings release, the company reported that its book of AI business has grown to over $5 billion, and its software division posted double-digit growth in 2024 — its strongest in years — mainly fueled by demand for AI and hybrid cloud solutions. Free cash flow climbed to $12.7 billion, and IBM reports that for every dollar spent on watsonx, clients invest five to six dollars more across IBM's broader software and consulting portfolio. This multiplier effect highlights the strength of IBM's integrated offerings. Most AI-related revenue still comes from consulting, reflecting the power of IBM's services-led go-to-market model. However, the company's strategy of combining Red Hat infrastructure, watsonx software, and consulting expertise is clearly gaining traction. The tight integration of its software, infrastructure, and services sets IBM apart in the enterprise AI space. Red Hat's OpenShift and RHEL AI form the infrastructure foundation of IBM's AI strategy, powering the deployment of watsonx across diverse cloud and edge environments. IBM Consulting brings the human element, delivering AI solutions tailored to industry-specific challenges in sectors such as banking, healthcare, manufacturing, and government. Together, these arms of IBM provide the technological muscle and domain expertise needed to bring AI from concept to production at enterprise scale. IBM's end-to-end approach, spanning model development, deployment, governance, and business transformation, is a strategy that's clearly working. It's also a strategy that's difficult for competitors to match. As bookings grow, platform adoption accelerates, and ecosystem partnerships deepen, IBM is reshaping its identity around AI, hybrid cloud, and consulting. The company's ability to commercialize AI through a tightly connected stack of products, platforms, and people makes it one of the most interesting and credible enterprise AI players today. Disclosure: Steve McDowell is an industry analyst, and NAND Research is an industry analyst firm, that engages in, or has engaged in, research, analysis and advisory services with many technology companies; the author has provided paid services to many of the companies named in this article in the past and may again in the future, including IBM. Mr. McDowell does not hold any equity positions with any company mentioned.
TECHx
11-02-2025
- Business
- TECHx
Red Hat's Approach to AI and Hybrid Cloud
Red Hat's Approach to AI and Hybrid Cloud: Exclusive Insights from the VP In an exclusive interview with Martin Lentle, Vice President of Northern Europe, Middle East & Africa at Red Hat, we explore the strategies behind Red Hat's impressive growth, the challenges businesses face in AI adoption, and the company's future vision for the hybrid cloud landscape. Driving Red Hat's Growth Through Open-Source and Hybrid Cloud Red Hat's success can be attributed to its unwavering focus on open-source technologies that empower businesses to integrate artificial intelligence (AI) into their operations. Martin explains how Red Hat has taken a strategic approach by developing platforms, such as Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI, to address the growing demand for AI and hybrid cloud solutions. Unlike traditional proprietary AI models, Red Hat focuses on providing businesses with the flexibility to develop, test, and deploy AI models seamlessly across various infrastructures, including on-premises, public clouds, and edge environments. This approach not only reduces latency but enhances operational efficiency by running AI models closer to data sources. 'We believe in offering businesses a framework that helps them scale AI implementations with ease, without requiring specialized expertise,' Martin notes. 'Our solutions are designed to run AI models across any infrastructure, ensuring that AI adoption becomes accessible and cost-effective for businesses, regardless of size.' In this way, Red Hat is shifting away from complex, monolithic AI models and instead promoting smaller, optimized models that can be customized to specific business needs. By empowering businesses to build and fine-tune these models in-house, Red Hat addresses the complexity and cost associated with large-scale AI projects. Challenges in AI Integration: Flexibility is Key When discussing the hurdles businesses encounter with AI adoption, Martin highlights the integration of AI into traditional infrastructures as one of the major challenges. AI doesn't replace existing applications; it complements and enhances them. This creates the need for advanced solutions that ensure AI models can seamlessly work alongside traditional applications. Red Hat's hybrid cloud solutions play a crucial role in this process by offering businesses the flexibility to integrate AI models into their current systems. 'Businesses are increasingly adopting a diverse array of smaller, specialized AI models instead of relying on a single, universal model for all their needs,' Martin explains. 'Our tools, such as OpenShift AI, empower companies to develop, train, and deploy multiple models across different environments, all without the need for deep, specialized skills.' The flexibility of Red Hat's hybrid cloud solutions ensures AI workloads can be deployed across a variety of infrastructures—whether on-premises, in the cloud, or at the edge—enabling businesses to reduce latency and enhance efficiency in their AI operations. AI Everything Global: A Platform to Showcase Innovation The AI Everything Global event in Dubai offers a valuable opportunity for Red Hat to showcase its contributions to the AI landscape. Martin views the event as an essential platform to demonstrate how Red Hat's open-source AI platforms can drive AI adoption and innovation across hybrid cloud environments. As businesses move towards more distributed AI models, Red Hat is leading the charge in offering scalable solutions that bridge the gap between traditional and modern AI applications. 'The AI Everything Global event allows us to showcase how our solutions enable businesses to build and run AI models in-house, making AI more accessible and manageable,' he says. 'Our hybrid cloud solutions provide the agility required to manage AI workloads efficiently, especially as AI becomes more decentralized and positioned closer to data sources.' With an increasing emphasis on smaller, optimized AI models, Red Hat's approach aligns with industry trends that emphasize flexibility and customization. By facilitating AI adoption through open-source platforms and hybrid cloud technologies, Red Hat ensures that businesses can implement AI solutions that are not only effective but also cost-efficient. As Red Hat continues to lead the way in hybrid cloud AI solutions, its participation in the AI Everything Global event solidifies its position as a driving force in the AI revolution, helping enterprises build future-proof, scalable AI infrastructures. In conclusion, Martin Lentle's insights underscore Red Hat's commitment to simplifying AI integration and ensuring businesses can harness the power of AI without being overwhelmed by complexity. Through its innovative solutions, Red Hat is shaping the future of AI and hybrid cloud, making it a key player in the ongoing digital transformation.
