IBM Power Systems deliver superior in-memory capacity and flexibility to help solve Big Data computing challenges and let competitive enterprises put data to work.

1. Designed for
Big Data, made
with IBM.
Optimized for agility with a highly scalable
in-memory analytics platform, Power Systems
with POWER8 are built to put Big Data to work.

2. Big Data, analyzed faster.
Power Systems from IBM crunches Big Data faster for
competitive enterprises.
IBM helps customers drive analytics queries as much as 82x
faster, using next-generation in-memory technologies that
can analyze massive volumes of unstructured data—while
reducing the infrastructure needed to store it by 300% (for
Hadoop deployments).
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3. 3
Improve infrastructure agility.
The 4-socket IBM Power E850
is built to help businesses stay
agile and flexible with their data
while guaranteeing utilization.
The compact, energy-efficient
4U chassis helps reduce
operational costs and is
optimized for Linux and AIX
workloads, making more insight
available without raising costs.
Capacity Upgrade on Demand and elastic Capacity on Demand provide
seamless processor and memory provisioning while a standard hot-plug,
redundant power supply and active memory provide reliability, availability
and serviceability.
Stephen Gold, CMO-Watson
and VP-Partner Programs and
Venture Investments

4. Accelerate SAP HANA.
Deployable within a week and designed for
mission-critical 24/7 enterprise operations, SAP
HANA on IBM Power Systems helps customers
draw insights from Big Data. Unlike some Intel-
based appliances, the S824, E850 and E870 have
built-in agility and flexible configurations with no
restrictions.
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Additional optimizations
include up to 80 POWER8
cores and 8TB of memory
on E870.
Vipin Singh,
VP-SAP Practice, NTT

5. Drive waitless insights.
IBM Power Systems deliver the most scalable
in-memory analytics platform in the industry.
The Power E870 and E880 feature
• Power enterprise pools.
• enterprise RAS.
• built-in PowerVM enterprise edition.
• built-in active memory mirroring for hypervisor.
• more performance per watt.
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Inhi Cho Suh,
VP, IBM Analytics
Mike McCoy,
Department Head,
Lawrence Livermore
National Lab

6. IBM Power Systems deliver superior in-memory
capacity and flexibility to help solve Big Data
computing challenges and let competitive
enterprises put data to work.
Click here to learn how to crunch bigger data
with IBM Power Systems.
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