IBM Power Systems 8001-22C, Manual

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Cables
Attach any necessary cables to the add-on card.
Operating system or partition requirements
If you are installing a new feature, ensure that you have the software that is required to support the new
feature and that you determine whether any prerequisites must be met for this feature and attaching
devices. To check for the prerequisites, see IBM Prerequisite website (www-912.ibm.com/e_dir/
eServerPrereq.nsf).
The adapter is supported on the following versions of the operating systems:
Important: For a list of known Linux OS issues that may affect this adapter, see the IBM Power LC
readme (https://ibm.biz/BdrgTZ).
v Linux
– Red Hat Enterprise Linux 7.2, little-endian, for Power, or later
– Ubuntu 16.04.1, or later
– Ubuntu 14.04.5, or later
– For support details, see the Linux Alert website (www14.software.ibm.com/webapp/set2/sas/f/
lopdiags/info/LinuxAlerts.html).
– The latest version of the device driver or iprutils can be downloaded from the IBM Service and
Productivity Tools website(http://www14.software.ibm.com/webapp/set2/sas/f/lopdiags/
home.html).
– The latest version of enabling libraries and utilities may be downloaded from Fix
Central(http://www.ibm.com/support/fixcentral/).
Qlogic QLE2692OP Dual-port 16 Gb Fibre Channel Adapter PCIe3 x8 LP (FC EKAQ)
Learn about the specifications and operating system requirements for feature code (FC) EKAQ adapters.
Overview
The Qlogic QLE2692OP Dual-port 16 Gb Fibre Channel Adapter PCIe3 x8 LP is a PCI Express (PCIe)
generation 3 (Gen3) x8 adapter. The adapter can be used in either a x8 or x16 PCIe slot in the system. The
adapter provides advanced storage networking features capable of supporting demanding virtualized and
private cloud environments. The Standard Low-profile QLogic 16 Gb Fibre Channel Card can also deliver
up to 1.3 million IOPS (Input/Output Operations per Second) fuel high performance in all-flash arrays
(AFAs) and high-density virtualized environments.
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Power Systems: Installing the IBM Power System S822LC for Big Data (8001-22C)