Skip to main content

IBM Power System S822LC for Big Data: Technical Overview and Introduction

An IBM Redpaper publication


Published on 07 December 2016, updated 29 August 2017

  1. .EPUB (1.8 MB)
  2. .PDF (4.8 MB)

Apple BooksGoogle Play Books

Share this page:   

ISBN-10: 0738455776
ISBN-13: 9780738455778
IBM Form #: REDP-5407-00

Authors: Scott Vetter, David Barron, Alexandre Bicas Caldeira and Volker Haug

    menu icon


    This IBM® Redpaper™ publication is a comprehensive guide that covers the IBM Power System S822LC for Big Data (8001-22C) server that uses the latest IBM POWER8® processor technology and supports Linux operating systems (OSs). The objective of this paper is to introduce the Power S822LC for Big Data offerings and their relevant functions as related to targeted application workloads.

    The new Linux scale-out systems provide differentiated performance, scalability, and low acquisition cost, including:

    • Consolidated server footprint with up to 66% more virtual machines (VMs) per server than competitive x86 servers
    • Superior data throughput and performance for high-value Linux workloads, such as big data, analytic, and industry applications
    • Up to 12 LFF drives that are installed within the chassis to meet storage-rich application requirements
    • Superior application performance due to a 2x per core performance advantage over x86-based systems
    • Leadership data through put enabled by POWER8 multithreading with up to 4x more threads than x86 designs
    • Acceleration of bid data workloads with up to two GPUs and superior I/O bandwidth with Coherent Accelerator Processor Interface (CAPI)

    This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products. The intended audience includes:

    • Clients
    • Sales and marketing professionals
    • Technical support professionals
    • IBM Business Partners
    • Independent software vendors

    Table of Contents

    Chapter 1. Architecture and technical description

    Chapter 2. Management and virtualization

    Chapter 3. Reliability, availability, and serviceability

    Appendix A. Server racks and energy management


    Others who read this also read