LONDON, U.K., February 6, 2024 IBM (NYSE: IBM) today announced IBM LinuxONE 4 Express, extending the latest performance, security and AI capabilities of LinuxONE to small and medium sized businesses and within new data center environments. The pre-configured rack mount system is designed to offer cost savings[1] and to remove client guess work when spinning up workloads quickly and getting started with the platform to address new and traditional use cases such as digital assets, medical imaging with AI, and workload consolidation.
Building an integrated hybrid cloud strategy for today and years to come
As businesses move their products and services online quickly, oftentimes, they are left with a hybrid cloud environment created by default, with siloed stacks that are not conducive to alignment across businesses or the introduction of AI. In a recent IBM IBV survey, 84% of executives asked acknowledged their enterprise struggles in eliminating silo-to-silo handoffs. And 78% of responding executives said that an inadequate operating model impedes successful adoption of their multicloud platform.[2] With the pressure to accelerate and scale the impact of data and AI across the enterprise and improve business outcomes another approach that organisations can take is to more carefully identify which workloads should be on-premises vs in the cloud.
IBM LinuxONE 4 Express is a chance for startups and small to medium-sized businesses to build an intentional hybrid cloud strategy from the ground up. IBM brings the power of hybrid cloud and AI in the latest LinuxONE 4 system to a simple, easy to use format that fits in many data centers, said Tina Tarquinio, VP, Product Management, IBM Z and LinuxONE. And as their businesses grow with the changing shifts in the market, LinuxONE 4 Express can scale to meet growing workload and performance requirements, in addition to offering AI inferencing co-located with mission-critical data for growing AI use cases.
Accelerating computing research for bio sciences
University College London is one of largest universities in the UK and well-known for their reputation as a public research institution. They've been working with IBM to build a sustainable hybrid cloud platform to support their academic research.
Our Centre for Advanced Research Computing is critical to enable computational research across the sciences and humanities, as well as digital scholarship for students, said Dr. Owain Kenway, Head of Research Computing at University College London. We're excited for LinuxONE 4 Express to support high I/O workloads like Next Generation Sequencing for Biosciences as well as supporting work in Trusted Research Environments (TREs), for example AI workloads on medical data. The system's high performance and scalability suit our crucial research needs, and its affordability will allow us to make it available to both university research and industry players as a test bed.
Delivering high scalability, availability and security for a range of data center environments and use cases
IBM LinuxONE Rockhopper 4, launched in April 2023 and based on the IBM Telum processor, features capabilities designed to reduce both energy consumption and data center floor space while delivering the scale, performance and security that clients need. Also built on the Telum processor and delivered in a rack mount format, IBM LinuxONE 4 Express offers high availability for clients who have strict resiliency requirements due to internal or external regulations. In fact, IBM LinuxONE 4 Express systems, with GDPS, IBM DS8000 series storage with HyperSwap and running a Red Hat OpenShift Container Platform environment, are designed to deliver 99.999999% (eight 9s) availability.[3]
"IBM LinuxONE is rapidly becoming a foundational part of the wider Infrastructure story within IBM, states Steven Dickens, VP and Practice Leader at The Futurum Group. "With the new LinuxONE 4 Express solution, IBM is uniquely positioned to handle mission-critical workloads with high availability. When you combine this with the system's cybersecurity posture, IBM is well positioned for market traction."
The system addresses a whole new set of use cases that startups and small businesses are facing, including:
Digital assets: IBM LinuxONE 4 Express provides a secured platform with confidential computing capabilities specifically designed to protect sensitive data, like digital assets. IBM Secure Execution for Linux is a hardware-based security technology that is now built into IBM LinuxONE 4 Express. Scalable isolation for individual workloads can help protect not only from external attacks, but also insider threats. This includes data in use, a particularly critical stage of security for digital assets use cases.
Medical imaging with AI: With IBM Telum processor on-chip AI inferencing, clients can co-locate AI with mission-critical data on a LinuxONE system, allowing data analysis where the data is located. For example, health insurance companies could analyse large volumes of medical records in near real time to validate process claims, increasing the speed of business decision making.
Workload consolidation: IBM LinuxONE 4 Express is designed to help clients simplify their IT environments and cut costs by consolidating databases onto a LinuxONE system. Designed to bring significant cost savings for clients over time, clients that move Linux workloads from compared x86 server to an IBM LinuxONE 4 Express can save over 52% on their total cost of ownership over 5 years.[4]
Activating the IBM Ecosystem for client success
With the IBM LinuxONE Ecosystem, including AquaSecurity, Clari5, Exponential AI, Opollo Technologies, Pennant and Spiking, IBM is working to provide solutions for today's sustainability and cybersecurity challenges. For clients that run data serving,
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LONDON, U.K., February 6, 2024 IBM (NYSE: IBM) today announced IBM LinuxONE 4 Express, extending the latest performance, security and AI capabilities of LinuxONE to small and medium sized businesses and within new data center environments. The pre-configured rack mount system is designed to offer cost savings[1] and to remove client guess work when spinning up workloads quickly and getting started with the platform to address new and traditional use cases such as digital assets, medical imaging with AI, and workload consolidation.
