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IBM Power Systems S822LC for High Performance Computing
PCIe full height and full high cards are designed for the 4 EIA scale-out servers, such as
the Power S824L server.
Before adding or rearranging adapters, use the System Planning Tool to validate the new
adapter configuration. For more information, see the System Planning Tool website:
http://www.ibm.com/systems/support/tools/systemplanningtool/
If you are installing a new feature, ensure that you have the software that is required to
support the new feature and determine whether there are any existing update prerequisites to
install. To obtain this information, use the IBM prerequisite website:
https://www-912.ibm.com/e_dir/eServerPreReq.nsf
The following sections describe the supported adapters and provide tables of orderable
feature code numbers.
1.13.2 LAN adapters
To connect the Power S822LC servers to a local area network (LAN), you can use the LAN
adapters that are supported in the PCIe slots of the system unit. Table 1-10 lists the
supported local area network (LAN) adapters for the Power S822LC servers.
Table 1-10 Supported LAN adapters)
1.13.3 Compute Intensive Accelerator
Compute Intensive Accelerators are GPUs that are developed by NVIDIA. With NVIDIA
GPUs, the Power S822LC server can offload processor-intensive operations to a GPU
accelerator and boost performance. The Power S822LC server aims to deliver a new class of
technology that maximizes performance and efficiency for all types of scientific, engineering,
Java, big data analytics, and other technical computing workloads.
Table 1-11 on page 26 lists the available Compute Intensive Accelerators.
Table 1-11 Graphics processing units adapters that are supported
Feature
code
Description
Max
OS
support
EC3A
PCIe3 LP 2-Port 40 GbE NIC RoCE QSFP+ Adapter
2
Linux
EL3Z
PCIe2 LP 2-port 10/1 GbE BaseT RJ45 Adapter
3
Linux
EL4M
PCIe2 x4 LP 4-port (UTP) 1GbE Adapter
3
Linux
EN0T
PCIe2 LP 4-Port (10Gb+1 GbE) SR+RJ45 Adapter
3
Linux
EN0v
PCIe2 LP 4-port (10Gb+1GbE) Copper SFP+RJ45 Adapter
3
Linux
Feature
code
Description
Max
OS
support
EC4C
Two Air-Cooled NVIDIA Tesla P100 GPUs (for First Pair)
2
Linux
EC4D
Two Air-Cooled NVIDIA Tesla P100 GPUs (for Second Pair)
2
Linux
EC4F
Four Water-Cooled NVIDIA Tesla P100 GPUs
4
Linux
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