IBM Power E1080 performance proof-points Engineered for agility, IBM Power E1080 delivers world record performance scalability for core enterprise workloads, protects your applications and data with pervasive and layered defense, and enables you to transform data into insights quickly.



Respond faster to business demands

IBM Power E1080 sets world record 8-socket two-tier SAP SD standard application benchmark result1

For the systems and workload compared:

Power E1080 acheives world record 8-socket performance 955,050 vs 670,830 SAPS 174,000 vs 122,300 users Power E1080 acheives more performance per core versus competitor 4X vs 16-socket Intel2 2.7X vs 8-socket Intel4 Power E1080 is the most flexible and reliable SAP HANA platform5 Power E1080 servers scale to 16 sockets

100 SAPS = 2,000 fully business processed order line items per hour

Notes:

IBM Power E1080; two-tier SAP SD standard application benchmark running SAP ERP 6.0 EHP5; Power10 3.55-4.0 GHz processor, 4,096 GB memory, 8p/120c/960t, 174,000 SD benchmark users (955,050 SAPS), AIX 7.2, DB2 11.5. Certification # 2021059. All results can be found at sap.com/benchmark Valid as of 8/27/21. Google Cloud Platform; two-tier SAP SD standard application benchmark running SAP ERP 6.0 EHP5 (cloud); Intel Xeon Platinum 8280L 2.7 GHz, 16p/448c/896t, 157,000 SD benchmark users (892,270 SAPS), running Windows Server 2019 and Microsoft SQL Server 2017, Certification # 2021008. HPE Superdome Flex; two-tier SAP SD standard application benchmark running SAP ERP 6.0 EHP5; Intel Xeon Platinum 8280L 2.7 GHz, 16p/448c/896t, 152,508 SD benchmark users (877,050 SAPS), running Windows Server 2019 and Microsoft SQL Server 2019, Certification # 2020029. HPE Superdome Flex; two-tier SAP SD standard application benchmark running SAP ERP 6.0 EHP5; Intel Xeon Platinum 8380H 2.9 GHz, 8p/224c/448t, 122,300 SD benchmark users (670,830 SAPS), Windows Server 2016 and Microsoft SQL Server 2012, Certification # 2021006. Ranked most reliable server in its category for 12th year by ITIC. Flexible: Only platform that runs AIX, IBM i, Linux OS’es while supporting the ability to run 16 SAP HANA production environment in a single server.

IBM Power E1080 sets world record 8-socket single server SPEC CPU 2017 benchmark result1

For the systems and workloads compared:

Power E1080 sets world record 8-socket performance SPECrate®2017_int_peak: 2170 vs 1620 SPECrate®2017_int_base: 1700 vs. 1570 2.5X more performance per core 1.3X more performance per socket Power E1080 servers scale to 16 sockets

Notes:

Comparison based on single 8-socket systems (IBM Power E1080 3.55 - 4 GHz, 120 core, AIX and Superdome Flex 280 2.90 GHz, Intel Xeon Platinum 8380H) using published results at www.spec.org/cpu2017/results/ as of 02 September 2021. SPEC® and the benchmark names SPECrate®2017_int_base and SPECrate®2017_int_peak are registered trademarks of the Standard Performance Evaluation Corporation. For more information about SPEC CPU 2017, see www.spec.org/cpu2017/.

Modernize apps with OpenShift Container Platform on Power E1080

For the systems and workloads compared:

4.3x more throughput per core and 48% lower 3-yr TCO running containerized applications and database on a Power E1080 vs running the same containerized applications on an x86 server 4.1X better price-performance when running containerized applications and database on a Power E1080 vs running the same containerized applications on an x86 server IBM Power E1080 Activations New Intel Xeon SP based 2-socket server Server price
E1080 Linux core activations @ $2,000 / core x 20 cores
Intel server list price: 40-core Cascade Lake, 512GB
3-year warranty for IBM and Intel servers
$57,920 $41,900
Solution cost
Server + Virtualization + OpenShift Annual Subscription @ $2,000 / core x 3 years + WSHE @ $10,240 / core per year x 3 years
$792,320 $1,510,700
DayTrader workload
Total transactions per second (tps)
40,687 tps 18,852 tps
tps/$1000 51.35 tps/$1000 12.48 tps/$1000

Notes:

Based on IBM internal testing of Red Hat OpenShift Container Platform 4.8.2 worker nodes running 80 pods each with 10 users using the Daytrader7 workload (https://github.com/WASdev/sample.daytrader7/releases/tag/v1.4) accessing AIX Db2 databases. Average cpu utilization for the OCP worker nodes is ›95%. Comparison: E1080 with co-located OCP and AIX Db2 nodes versus OCP node on Cascade Lake accessing AIX Db2 node on E1080. Valid as of 8/25/2021 and conducted under laboratory conditions. Individual result can vary based on workload size, use of storage subsystems and other conditions. TCO is defined as hardware, software and maintenance costs over a period of three years. IBM Power E1080 (40 cores/3.8 GHz/2 TB memory) in maximum performance mode, 25 Gb Ethernet adapter(SRIOV), 1 x 16 Gbps FC adapter with PowerVM. Competitive system: Intel(R) Xeon(R) Gold 6248 CPU (Cascade Lake) in performance mode, 40 cores/3.9GHz/512GB memory), 25Gb Ethernet adapter(SRIOV) , 1 x 16Gbps FCA with KVM. Pricing is based on Power E1080 http://www-03.ibm.com/systems/power/hardware/linux-lc.html. Typical industry standard x86 pricing https://www.synnexcorp.com/us/govsolv/pricing/" IBM software pricing for Red Hat OpenShift and IBM WebSphere Hybrid Edition Monthly Subscription.

Streamline insights and automation

In-core inferencing and machine learning

MMA inferencing diagram

5X faster AI inferencing per socket versus Power E980 *

Bring your own models and run inference where your operational data resides Achieve faster AI inferencing per socket vs Power E980 Perform in-core AI inferencing and ML where data resides Provides alternative to using separate GPU systems Train AI models anywhere, deploy on Power without changes for AI with high RAS Support for popular libraries, AI frameworks and ONNX runtime

Notes:

5x improvement in per socket inferencing throughput for large size 32b floating point inferencing models from Power9 E980 (12-core modules) to Power10 E1080 (15-core modules). Based on IBM testing using Pytorch, OpenBLAS on the same BERT Large with SqUAD v1.1 data set.

Power E1080 and AIX 7.3 delivers inferencing at scale with H2O Driverless AI. Achieve 10X more users per node and 2.7X more inferences per second1 versus Power E980 and AIX 7.2

Power E10802 performance versus Power E9803

Supports 10X more users per node 2.7X more inferences per second

Model Object Optimized (MOJO) performance takes advantage of Power E1080 capabilities

480 threads per node 410 GB/s Memory Bandwidth per socket
H2O Driverless AI on Power10 E1080

Notes:

Based on IBM Internal Measurements running Mojo scoring pipeline performing inference on Db2 data records with MOJO model trained from https://raw.githubusercontent.com/IBM/telco-customer-churn-on-icp4d/master/data/Telco-Customer-Churn.csv using H2O Driverless AI Valid as of 8/27/21 E1080: 410,859 inferences per second with 800 users running on 1 node, 4 sockets, 60 cores, SMT8, 480 CPUs, AIX 7.3, DB2 11.5.6, Java IBM JDK 8.0.6-36; best performance was with 800 java mojo clients E980: 152,582 inferences per second with 80 users 1 node, 4 sockets, 40 cores, SMT8, 320 CPUs, AIX 7.2, DB2 11.5.5, Java AdoptOpenJDK 11.0.10+9; best performance was with 80 java mojo clients

More resources

Power9 archive
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Review the IBM Power E1080 Technical Overview and Introduction Redpaper

This IBM® Redpaper® publication provides an introduction to the Power E1080, the most powerful and scalable server of the IBM Power portfolio, and its offerings and relevant functions.

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