IBM has introduced the IBM LinuxONE 4 Express, a new pre-configured rack mount system tailored to meet the needs of small and medium-sized businesses (SMBs) as well as new data center environments. 

This system is designed to deliver the latest performance, security, and AI capabilities of the LinuxONE platform, providing cost savings and simplifying the process for clients to quickly deploy workloads. 

LinuxONE 4 Express aims to address a variety of use cases, including digital assets, medical imaging with AI, and workload consolidation, making it easier for organizations to leverage the platform for both new and traditional applications.

According to IBM, the shift towards online products and services has led many businesses to inadvertently create hybrid cloud environments characterized by siloed stacks that hinder cross-business alignment and the integration of AI technologies. 

“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 to a simple, easy-to-use format that fits in many data centers,” said Tina Tarquinio, VP, of 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.”

According to a recent survey by IBM’s Institute for Business Value (IBV), a significant majority of executives acknowledge the challenges their enterprises face in eliminating siloed operations. Additionally, an overwhelming number of these executives believe that their current operating models are inadequate for the successful adoption of multi-cloud platforms, indicating a pressing need for more strategic hybrid cloud strategies.

To navigate these challenges and enhance business outcomes through the use of data and AI, IBM suggests a more deliberate approach in determining which workloads should be hosted on-premises versus in the cloud. 

This strategy aims to address the inefficiencies and alignment issues inherent in many hybrid cloud environments, helping organizations to better leverage the potential of multi-cloud platforms.