from ocp hardware to ocp total solutions - inspur systems

OCP GLOBAL SUMMIT 2020

From OCP Hardware to OCP Total Solutions

Yinan LiuCustomer Program Manager, Inspur


Open Platforms Data Centers AI/Deep Learning

Inspur is a leading data center and cloud

computing total solutions provider

As the world’s number 3 server provider, we deliver and deploy

robust, performance-optimized, purpose-built solutions to customers

around the globe to address emerging industries and applications.

From building blocks to full-stack solutionsInspur Server Retains Fastest Growth in 2019

Inspur Overview


Energy Efficiency

Compute Sled

ON5263M5

San Jose

Inspur Overview

Inspur joined OCP community in 2016 andbecame Platinum Member since 2017

We contributed products/solutions from compute nodes, AI, storage to RMC and total solutions

High-Density NVlink

GPU Expansion

NF5388M5

Mission Bay

Flexible High-Density

2U 4-Socket Server

NF8260M5

Crane Mountain

4-Socket Server for

Hyperscale Cloud

Workloads

Olympus

High-Density

JBOD

ON5266M5

Goose Lake

OpenRMC Sub-

Project

OAI

Sub-Project


Crane Mountain 4-Socket Server (NF8260M5)

Crane Mountain 4-Socket server was contributed in 2019, together with Intel

Jason WaxmanIntel CVP in 2019 OCP Global Summit



Riser Module 2

Riser Module 1

Riser Module 0

CPU1

CPU0

CPU2

CPU3

Product Specifications

Model Number NF8260M5

Form Factor 2U, 4-Socket Rack Server

Processors 2 or 4 Intel® Xeon® Scalable Processors, up to 205W

PCH Intel® C620 Series Chipset (C622, C624, C627)

Memory 48 DDR4 DIMM slots, up to 2933 MT/s

Storage24*2.5” SAS/SATA/SSD/NVMe SSD, supports hot swappable

2*M.2 PCIe & SATA on Board

Network 1 GE Management Port, Supports IPMI2.0, KVM over IP

PCIe ExpansionMax. 8*PCIe3.0 Slots, and 1*OCP slot

Up to 4*GPU (Optional)

Power Supply Unit 2*PSU, supports 1+1 redundant

System Dimensions 87H*446W*780D (mm) / 3.43H*17.56W*30.7D (inch)

Operating TemperatureRange

5 - 35oC / 41 - 95oF



Maximum performance per node with highest memory bandwidth and IO throughput

High density core count per system/rack

Reduce TCO compared to 2 dual-socket servers

High Performance High Density Cost efficiency


VS80 CPUs480 DIMMs64 ports switch40 chassis, MB80 Boot Drives40/80 NICs80 Power Suppliers

80 CPUs480 DIMMs64 ports switch20 chassis, MB40 Boot Drives20/40 NICs40 Power Suppliers

System Power ConsumptionItem NF5280M5* NF8260M5**

CPU 150*2=300W 150*4=600W

Mem 16*4=64W 32*4=128W

OS Storage 2*8=16W 2*8=16W

Data Storage 3*8=24W 6*8=48W

Raid 15W*0.8=12W 15W*0.8=12W

Network 15W 15W

MB 42W 60W

FAN 30*4*0.5=60W 60*6*0.3=108W

Total 533W 987W

NF8260M5 VS 2*NF5280M5 Power Saving：~7%

* NF5280M5 Config 150W CPU*2/16G Mem*16/480G SSD*2 /SSD*3 /Raid*1/10G*1/2*800W

**NF8260M5 Config 150W CPU*4/16G Mem*32/480G SSD*2 /SSD*6 /Raid*1/10G*1/2*1300W Additional saving on network fabric & boot device will further lower the TCO

System Cost

L10 Cost Down L6 Barebone Cost Down

1*2U4S vs. 2*2U2S 5%~6% 21~27%


2U2S in TWO 42U Rack 2U4S in ONE 42U Rack


4S Use Cases and OCP Total Solutions


Use Case 1: Crane Mountain 4S for SAP HANA

Inspur NF8260M5 server is designed with 2nd Generation Intel® Xeon™ Scalable Processor, optimized with Intel® Optane™ persistent memory, and certified for SAP HANA®


SAP HANA Value Prop

Better Solutions Lower TCOSimplify Landscape

With Intel® Optane™ Persistent Memory


SaveMore

Deliver More for Less

SimplifyConsolidate

MoreCapacity 100%

SAP HANA Use Case

Lower Cost/System

With Intel® Optane™ Persistent Memory

Scale-out21 Node

Scale-up8 Node

40% + TCO Saving


Use Case 2: Crane Mountain 4S for Redis workload

Crane Mountain 4S server achieved faster computing performance and lower latency in open source, in memory data structure store Redis application

4S Demo Systems for Redis Workload Evaluation


Redis Benchmark Performance Comparison of 4S vs 2S

0.00

1000000.00

2000000.00

3000000.00

4000000.00

5000000.00

6000000.00

7000000.00

8000000.00

9000000.00

1:9 2:8

TOTAL TPS

5280M5 8260M5

0.0000

0.1000

0.2000

0.3000

0.4000

0.5000

0.6000

0.7000

0.8000

1:9 2:8

P99 LATENCY(MS)

5280M5 8260M5

Benchmark test case

Redis Instance: 48 on 2S; 96 on 4SRedis memory: 15GData_size: 1KSet:get: A:1:9; B: 2:8

NF82600M5CPU: Intel ® Xeon ® Gold 6262*4RAM:: 32G DDR4 *48

Hardware configuration

NF5280M5CPU: Intel ® Xeon ® Gold 6262*2RAM:: 32G DDR4 *24

Crane Mountain 4S Optimized Solution for Redis workload

✓ Great performance scalability✓ One 4S achieves ~2.1 times Total TPS than one 2S✓ P99 Latency in 4S is 10%-30% reduced than

Latency in 2S

The higher is better

The Lower is better


AOF file (log)AOF

Pointers (to log)

Write request

Store key/value

Append operation into AOF log file

Write request

Store key

Store value

Append pointer into AOF log file

PMEM


• Use Intel PMem to store values instead of DDR4

• Append only pointer into SSD instead of full operation to reduce the write time

* https://github.com/pmem/pmem-redis

PMem-Redis* for advanced performance in Crane Mountain

with Intel® Optane™ persistent memory

PMem-Redis is a version of Redis that supports Intel Optane persistent memory (“PMem”) based on open source Redis 4.0. It benefits Redis’ performance by taking advantage of the capacity and persistence of PMem.

https://github.com/pmem/pmem-redis



Mode: DRAM QPS: 1,806,168 Mode: AD QPS: 5,523,637

✓ Achieves ~3 times QPS improvement with AD mode✓ Tiered storage architecture. Resolve NVMe Bandwidth limitation during the writing to AOF log✓ System cost increases 40% by using PMem but achieves 3 times better performance in write intensive

applications; Significant improvement in performance/price.


Active participation• Inspur Participation since Oct. 2018• Initiatively co-chair OpenRMC project & define the specification

Work progress• Define OpenRMC Northbound API specification.• Contributed Inspur OpenRMC source code to OCP(https://github.com/opencomputeproject/Rack-Manager/tree/master/Contrib-Inspur)• Contribute one management node as the vehicle for the OpenRMC Hardware management.

OpenRMC specification long-term plan• Implemented rack-level resource management(incl. server, rack, power etc.)

• Planning resource dynamic provision & stateless computing (based on composable resources infrastructure)

Inspur OpenRMC Contribution to OCP

https://github.com/opencomputeproject/Rack-Manager/tree/master/Contrib-Inspur


RMC Web ServerRack Manager Controller Service on top ofOpenBMCEvolved from limited nodes to whole rack

RMC Web UIRMC Client (To DC manager)Along with remote access toolResource collections and service profiles

displayed with Redfish schema in JSON format

South Bound Change from D-Bus to support Redfish RESTful API

North Bound Redfish RESTful API SupportEnriched service profiles

Redfish

Southbound Interface

SENSOR FAN

ADC

NODE

MEMORY

PSU

CPU ……

Redfish

RMC Service

RMC WEBUIRMC USER TOOL

Northbound Interface

PSUSENSORNODE INFO

FAN CTRL

REDFISH API FIREMARE UPDATE

FRU

INVENTORY

SYSLOG

THERMAL CTRL POWER CTRL …

Application

Redfish Redfish

OpenRMC Key Modules & Software Architecture


OCP Rack Solution for SAP HANA Workloads

The Inspur OCP Cloud Optimized Rack Solution is fully integrated rack solution combining OCP recognized hardware and validated software, allowing customers to manage resources as software in an efficient, scalable manner. Easily manage physical and virtual infrastructure with its Open Source rack management toolset, ideal for cloud native, object storage and container enterprise workloads

Inspur actively launched the OpenRMCproject, which can help small and medium-sized

data center customers greatly reduce their IT operation and maintenance costs, simplify software-based rack management and improve efficiency.

Architecture Server Software


Wrap Up

• 4 socket solutions are being adopted for large database and high-density applications

• Next step for OpenRMC development is to implement an unified rack manager

• Delivering total solutions to customers will accelerate adoption of open technologies

THANK YOU

For more information, please visit www.inspursystems.com

from ocp hardware to ocp total solutions - inspur systems

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