Overview

Benefits

Features

More cores per system

Co-locate workloads on fewer servers and increase system utilization with 1.5X more cores per system.¹

Flexible consumption

Get cloud economics on-prem with usage-based metering across servers.

Active Memory Mirroring

Increase uptime and improve availability and reliability with Active Memory Mirroring.

2.4X more memory bandwidth

Harness 2.4X more memory bandwidth compared to IBM Power S922.¹

Matrix Math Acceleration

Employ four Matrix Math Accelerators per core for faster AI inferencing at the point of data.

Main Memory Encryption

Use transparent memory encryption with no additional management setup or impact to workload performance.

Use cases: Dual chip

SAP HANA on IBM Power

SAP HANA on IBM Power

Get faster provisioning, affordable scaling and maximum uptime for SAP HANA workloads.

Oracle Database EE on IBM Power

Oracle Database EE on IBM Power

Lower software licensing costs by consolidating Oracle workloads on fewer servers and cores.

Healthcare apps

Healthcare apps

Run FHIR-standard healthcare apps on IBM Power with maximum uptime and reliability.

DevOps

DevOps

Employ IBM Power S1022 for continuous app development and integration.

Use cases: Single chip

Red Hat® OpenShift®

Red Hat® OpenShift®

Run Red Hat OpenShift on Power with better price-performance compared to x86-based servers.

IBM Cloud Pak® for Data

IBM Cloud Pak® for Data

Build a data fabric connecting siloed data distributed across a hybrid cloud landscape.

Distributed computing

Distributed computing

Use IBM Power S1022 servers at the edge of your network for banking, retail, manufacturing and more.

Resources

Analyst paper

Hear from experts at IDC as they shed light on how to “hit the sweet spot” of enterprise computing.

eBook

Get the guidance you need for every facet of your hybrid cloud vision and strategy.

Field guide

Download our free field guide and learn strategies for modernizing apps on IBM Power in a smart, cost-effective manner.

Footnotes

¹ Based on IBM internal performance testing in the lab. A full performance report that can be found here.