Chapter 5. Red Hat OpenShift installation planning and considerations 75
Table 5-3   IBM Power Systems: Scale-out servers for SAP HANA 
5.1.2  Big data workloads
Across industries, organizations are poised to capitalize on big data to generate new 
business insights, improve the customer experience, enhance efficiencies and gain 
competitive advantage. But to make the most of growing data volumes, they need servers 
with the performance and capacity for big data and AI workloads.
IBM Power Systems Scale-out servers for big data, as shown in Table 5-4, deliver the 
outstanding performance and scalable capacity for intensive big data and AI workloads. 
Purpose-built with a storage-rich server design and industry-leading compute capabilities, 
these servers explore and analyze a tremendous amount of data, all at a lower cost than 
equivalent x86 alternatives.
Table 5-4   IBM Power Systems: Scale-out servers for big data
H922 H924
Key features /SM590000Optimized for SAP HANA
/SM590000High performance, tight security
/SM590000Dense form factor with large 
memory footprint
/SM590000For Linux-focused customers
/SM590000High performance for SAP HANA
/SM590000Strong security with large memory 
footprint
/SM590000For Linux-focused customers
Machine type and model 
(MTM)
9223-22H 9223-42H
Form factors 2U 4U
Sockets 1 upgradeable or 2 2
Cores per socket 4, 8, or 10 8, 10, or 12
Memory slots 32 32
Memory maximum 4 TB 4 TB
PCIe G4 slots 44
Supported operating 
systems
AIX, IBM i, and Linux AIX, IBM i, and Linux
LC921 LC922
Key features /SM590000High performance in a 
space-saving design
/SM590000Industry-leading compute in 
a dense form factor
/SM590000Highest storage capacity in 
the IBM Power Systems 
portfolio
/SM590000Up to 44 cores and 2 TB of 
memory
/SM590000High performance at lower 
cost than comparable x86 
systems
Machine type and model 
(MTM)
9006-12P 9006-22P
Form factors 1U 2U
Sockets 1 upgradeable or 2 2
Microprocessors 1x or 2x POWER9 CPUs; 16 or 
20 cores
1x or 2x POWER9 CPUs; 16, 
20 or 22 cores