POWER > Business Strategy > Executive Perspective

POWER Built for Linux Workloads

Linton Ward
Photo by Jason Griego

After presenting the Linux* on POWER* and OpenPOWER Foundation story to a chief architect for a major bank a few years ago, he remarked, “Wow, I didn’t know there was so much going on.” Even more so today, the level of transformation and delivery of real value for Linux on POWER workloads is truly remarkable.

The convergence of open-source innovation, vast data sources and system and accelerator capability have truly brought us to a new threshold of innovation—similar to the industrial revolution or the emergence of automobiles. Every industry is undergoing fundamental shifts and every skill group is affected. Proactive companies will find that increased insight translates to competitive advantage.

IT teams with AIX* and IBM i infrastructures know how crucial it is to have the right systems capability to address the sharing, security and scaling needs of the enterprise. The same attributes that have made the IBM Power Systems* platform superior for database and application workloads also bring advantages for new workloads. It’s critical that IT teams engage with stakeholders to modernize applications and business flow, and part of that discussion must involve architecting infrastructure that can scale to meet business needs.

New and Mission-Critical Workloads

The Power Systems platform allows clients to run new, compute-intensive workloads alongside their mission-critical applications that have been running stably on AIX or IBM i for years. Following are just a few examples of Linux workloads that can help organizations garner a competitive edge:

Cognitive computing workloads are evolving out of the existing analytics landscape of business intelligence, data warehouses and data lakes to embrace a greater degree of predictive analytics and modeling. This type of analytics leverages machine learning and deep learning for both quantitative and qualitative insights for text, image sensors and conventional data types. Cognitive workloads require an infrastructure that can move data quickly.

Modern database efficiency and scaling, the cornerstones of Power Systems designs, also bolster the modern data platform. Many open-source and partner databases benefit from the POWER processor’s superior query processing, memory access and I/O as well. It’s interesting that we often see the greatest benefit in the most demanding usage environments. Scale and stability under load for multiuser environments make this stack really shine.

On-premises cloud deployments as a service will continue to be in demand although some will be off-premise and delivered in a hosted model. These on-premises cloud deployments offer immense flexibility in addition to lower operational cost. IBM Cloud Private captures the fundamental shift to containerized packaging. And IBM Hyperconverged Systems powered by Nutanix offer superb operational benefits with an appliance model on hyperconverged infrastructure.

These new workloads create many opportunities to augment existing Power Systems deployments. With change occurring in every industry, plenty of fascinating conversations will be taking place.


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