We are excited to collaborate with IBM as the company unveils its new IBM LinuxONE 4 Express system available globally on Feb. 20, 2024. Powered by IBM’s Telum processor, this new system expands the performance, security and AI capabilities of IBM LinuxONE to small and medium sized businesses and within new data center environments. This can potentially bring Exponential AI clients significant cost savings and is designed to remove the guess work for clients when it comes to spinning up workloads quickly and getting started with the platform.

Exponential AI’s Enso Decision Intelligence Platform on IBM Z and LinuxONE delivers cutting edge  capabilities for building, training, orchestrating, and managing near real-time AI solutions at scale. Exponential AI offers a prebuilt AI-powered decision agent ecosystem and solutions library that can integrate directly with client workflows and legacy applications to quickly generate business value and result in faster adoption. Enso also provides the ability to continuously customize and orchestrate these agents, which will ultimately evolve into a digital workforce; these decision agents will continuously learn and can be redeployed across the enterprise to solve other use cases.

As the application of AI scales from thousands of transactions to billions, the underlying cost of supporting this level of activity in today’s landscape will be untenable. Exponential AI and LinuxONE are built to scale AI across your enterprise, utilize resources more efficiently and consolidate workloads to provide lower energy usage and dramatically reduce Total Cost of Ownership (TCO).

To illustrate the impact on how we have delivered value while driving adoption, I would like to spotlight the case of a leading national health insurance payer in our client portfolio. The healthcare industry, known for its high regulation and fragmented data, faces challenges in complex and labor-intensive transactions, often retrospective in nature. Exponential AI is addressing these issues by developing Intelligent Automation solutions for many of these transactions. Specifically, the Enso platform was successfully implemented at the client, spanning legacy applications and environments. This integration aimed to streamline information, automate early-stage decisions in transactions, and consequently reduce manual processing and customer friction which led to annual savings of double-digit millions for the client.

Building an integrated hybrid cloud strategy for today and years to come

According to IBM, when organizations 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 responding acknowledged their enterprise struggles in eliminating silo-to-silo handoffs. And 78% of executives answering say that an inadequate operating model impedes successful adoption of their multicloud platform.¹ To accelerate and scale the impact of data and AI across the enterprise – and ultimately improve business outcomes – IBM predicts that organizations are starting to build a more intentional hybrid cloud.

IBM brings the power of hybrid cloud and AI with LinuxONE to a simple, easy to use format that fits in many data centers. IBM LinuxONE 4 Express offers an approachable hybrid cloud platform entry point for small to medium sized businesses and startups. For example, IBM LinuxONE 4 Express systems, with GDPS, IBM DS8000 series with HyperSwap and running a Red Hat OpenShift Container Platform environment, are designed to deliver 99.999999% availability.²

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.³

Installing these systems in the data center can help create a new class of use cases. This not only enhances customer experience but also contributes to operational savings and efficiencies. Particularly for clients in industries such as healthcare, financial services, retail, dealing with millions of customer interactions and operational decisions daily, this could usher in a transformative approach to operations and value creation.

As a part of the IBM Ecosystem, Exponential AI is helping companies unlock the value of their infrastructure investments by implementing the tools and technologies designed to help them succeed in a hybrid cloud world. We are excited to be working closely with the IBM Ecosystem to bring new innovations to our clients. 

Additional information: 


¹IBM IBV Research Insights: Mastering Hybrid Cloud, pg 11

²Disclaimer: IBM internal data based on measurements and projections was used in calculating the expected value. Necessary components include IBM LinuxONE Rockhopper 4; IBM z/VM V7.2 systems or above collected in a Single System Image, each running RHOCP 4.10 or above; IBM Operations Manager; GDPS 4.5 for management of data recovery and virtual machine recovery across metro distance systems and storage, including Metro Multi-site workload and GDPS Global; and IBM DS8000 series storage with IBM HyperSwap. A MongoDB v4.2 workload was used. Necessary resiliency technology must be enabled, including z/VM Single System Image clustering, GDPS xDR Proxy for z/VM, and Red Hat OpenShift Data Foundation (ODF) 4.10 for management of local storage devices. Application-induced outages are not included in the above measurements. Other configurations (hardware or software) may provide different availability characteristics.

³DISCLAIMER: Compared IBM LinuxONE 4 Express Model consisting of a CPC drawer and an I/O drawer to support network and external storage with 12 IFLs and 736 GB of memory in 1 frame, versus compared 3 x86 servers with two Xeon Sapphire Rapids Platinum 8444 processors with 32 cores each (2ch/32c) with a total of 384 cores. All Systems are modeled to be running Linux Postgres Enterprise-DB workloads with virtualization and DB tools. Results may vary based on client-specific usage and location. LinuxONE hardware is the expected global price in $USD and discounts. X86 purchase price was included and maintenance costs is from IDC’s Pricing Service: https://www.idc.com/myidc3/products with an aggressive discount. Postgres Enterprise-DB software and tools prices are based on street prices that is discounted from the list price. TCO is calculated over a 5-year horizon. Cost estimates include hardware costs and annual maintenance, Linux OS subscription costs, virtualization software, people cost, and infrastructure (network, energy, space) costs.

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