This document provides examples of Lustre parallel storage designs at different scales for high performance computing (HPC) systems. It includes configurations for entry-level designs up to large petabyte-scale designs. The examples describe node specifications, disk layouts, performance metrics, and capacity for each design. Overall the document serves as a reference for implementing Lustre parallel storage solutions to meet various HPC workload and capacity requirements.

1. Lustre Reference Architecture

2. 1
OSS
MDS OSS
Enterprise unified
storage
SAN
…
IB
…
Compute
node
cluster
IO node
cluster
Lustre distributed file system
…
FC
IB
Up to 96 GB/s
bandwidth per
cabinet
High
performan
ce
Scalable to 16
controllers
High
scalability
RAID 2.0+
virtualization
technology
High
reliability
Lustre Distributed Parallel System

3. 2
Lustre parallel storage design example
 Network
 Reference  Configuration
Control server:
1 set of RH1288 V3 (each 2*E5-2603 V3, 2*16G MEM,2*300G
SAS)
Metadata server:
2 sets of RH1288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS, 1*FDR single port IB card, 1* dual 8G FC HBA)
I/O server:
2 sets of RH1288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS, 1*FDR single port IB card, 1* dual 8G FC HBA)
Disk layout:
1 set of 5500V3 controller built-in 6 10K 600GB SAS disks
(RAID10)
48 7.2K 2TB NL-SAS disks (every 12 RAID6-10 Storage Pool)
Software:
Intel enterprise version Lustre
Writes performance:1.7GB/s
Read performance:2.8GB/s
Raw capacity:96TB
Available capacity: 60.8TB
Space: 15U
Maximum power : 2.55KW

4. 3
Lustre parallel storage design example
Network
 Reference  Configuration
Control server:
1 set of RH1288 V3 (each 2*E5-2603 V3, 2*16G MEM,2*300G
SAS)
Metadata server:
2 sets of RH1288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS, 1*FDR single port IB card, 1* dual 8G FC HBA)
I/O server:
2 sets of RH1288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS, 1*FDR single port IB card, 1* dual 16G FC HBA)
Disk layout:
1 set of 5500V3 (the 48GB memory, 25 positions, the controller
built-in 12 10K 600GB SAS disks metadata storage RAID10)
96 7.2K 2TB NL-SAS disks (every 12 RAID6-10 Storage Pool
makes data storage)
Software:
Intel enterprise version Lustre
Writes performance:3.5GB/s
Read performance:4.0GB/s
Raw capacity:192TB
Available capacity:120.18TB
Space:23U
Maximum power :3.2KW

5. 4
Lustre parallel storage design example
 Network
 Reference  Configuration
Control server:
1 set of RH1288 V3 (each 2*E5-2603 V3, 2*16G MEM,2*300G
SAS)
Metadata server:
2 sets of RH1288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS, 1*FDR single port IB card, 1* dual 16G FC HBA)
I/O server:
2 sets of RH2288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS,1*FDR single port IB+2*16G twin port FC)
Disk layout:
1 set of 5800V3 (the 128GB memory), 1 2.5 inches disk box
built-in 12 10K 600GB SAS disks metadata RAID10
144 7.2K 2TB NL-SAS disks (every 12 RAID6-10 Storage Pool
makes data storage)
Software:
Intel enterprise version Lustre
Writes performance:5.5GB/s
Read performance:6GB/s
Raw capacity:288TB
Available capacity:180TB
Space:34U
Maximum power:4.1KW

6. 5
Lustre parallel storage design example
 Network
 Reference  Configuration
Control server:
1 set of RH1288 V3 (each 2*E5-2603 V3, 2*16G MEM,2*300G
SAS)
Metadata server:
2 sets of RH2288 V3 (each 2*E5-2620v3, 4*16G MEM, 2*300G
SAS,1*FDR single port IB+2*16G twin port FC)
I/O server:
6 sets of RH2288 V3 (each 2*E5-2620v3, 4*16G MEM, 6*300G
SAS,1*FDR single port IB+2*16G twin port FC)
Disk layout:
1 set of 5300V3 (the 32GB memory, 25 positions), the built-in
built-in 25 10K 1.2TB SAS disks, 2 2.5 inches hard disk box
built-in 50 10K 1.2TB SAS disks), metadata RAID10
4 sets of 5800V3 (128GB memory), 576 7.2K 6TB NL-SAS disks
(every 12 RAID6-10 Storage Pool makes data storage)
Software:
Intel enterprise version Lustre
Writes performance:22GB/s
Read performance:24GB/s
Bare capacity:3456TB
Available capacity:the 2160TB
Space :131U
Maximum power :14KW

7. 6
2 OSS
1 SP-3584 JBOD (OST)
2 OSS
1 SP-3584 JBOD (OST)
2 MDS
1 OceanStor 5300 V3
1 Lustre Manager
2 OSS
1 SP-3584 JBOD (OST)
36GB/s@ Sustained Performance
1.5PB@ Useable Capacity
2 OSS
1 SP-3584 JBOD (OST)
IPMI Monitor Network(GE)
Management Network(GE)
Computing Network(FDR IB)
Storage Network (12G SAS)
Heart Beat(GE)
GE-IPMI-SW1
GE-MGT-SW1
FDR-COMP-SW1
FDR-COMP-SW2
OSS01
OSS02
OneStor-SP3584 JBOD
bond
bond
Heart
Beat
Approach using ZFS and JBOD

8. 7
Form Factor 1U
Server RH1288 V3
CPU Intel Xeon E5-2603 v3
Memory 2 x 8GB 2133MHz DDR3
PCIe Slot 2 x PCIe 3.0 x16
Other 2 x GE Ports
1 x Intel Lustre Manager Server
Form Factor 1U
Server RH1288 V3
CPU Intel Xeon E5-2620 v3
Memory 16 x 16GB 2133MHz DDR3
PCIe Slot 2 x PCIe 3.0 x16
HBA 1 x Single-Port FDR IB HCA
1 x Dual-Port 8G FC HBA
Other 2 x GE Ports
2 x MDS
Form Factor 2U
Server RH2288 V3
CPU Intel Xeon E5-2620 v3
Memory 8 x 8GB 2133MHz DDR3
PCIe Slot 5 x PCIe 3.0 x8
HBA 1 x Single-Port FDR IB HCA
2 x LSI SAS 9300-8e HBA
Other 2 x GE Ports
8 x OSS
1 x MDT Storage
Form Factor 2U
Storage OceanStor 5300 V3
Cache 32GB
Disk 25 x 1.2TB 10kRPM SAS
Raid RAID 10
Other 8 x 8G FC Ports
4 x OST JBOD
Form Factor 5U 84-slots
Model Seagate OneStor SP-3584
Disk 84 x 6TB NL SAS
IO Port 2 Front 12Gb/s SAS ports
Form Factor 1U
Model Mellanox SX6025 36-Port
FDR IB Switch
2 x FDR IB Switch
Form Factor 1U
Model Huawei CE5855 48-Port GE
Switch
2 x GE Switch
JBOD Configuration

9. 8
• Existing HPC devices can not meet the requirement of performance
and business
• Long time construction period, complicated management
• Cloud evolution in the future, providing commercial service and
internal use
Challenges
Solution
• 240 * CH121v3 blade node (Haswell E5-2697V3CPU)
• 56Gbps FDR Infiniband Network
• Lustre parallel storage
Customer Benefits
• Optimal performance: Rpeak =279.5TFlops
• Energy saving: 2935.85Mflops/Watt
• Efficient management: Intuitive graphical operations and various scheduling
algorithms
Interdisciplinary Centre for Mathematical and Computational Modeling
 PL-GRID Plus project funded by EU was established in 2012, and its goal is to build a H
PC platform for Polish and international scientific research and commercial applications
within three years
 13 application area: Astronomy, HEP, nano-technology, acoustics, life sciences, quantu
m chemistry and molecular physics, ecology, energy, bioinformatics, health sciences, m
aterials, metallurgy
HPC System University of Warsaw, Poland

10. 9
HPC System for Newcastle University, UK
Customer Benefits
Solution
• Rapid growth of computing data: single node requires 512 GB
memory, overall computing capability > 88 TFLOPS
• I/O read and write bandwidth: > 1 GB/s
• System can be easily expanded
• Rapid deployment: Integrated computing, network, and storage
resources reduces service deployment time to three days.
• Simple management: Unified management minimizes maintenance
workloads.
• Easy expansion: easy expansion to reduce later investment costs
and meet expansion requirements for the next five years.
• Huawei All-in-One HPC solution: 122 E9000 blade server nodes,
S5500T storage device, full-10 GE high speed network, Huawei
cluster management software, with Lustre high-performance,
parallel storage.
• The All-in-One HPC modular solution meets requirements for future
expansion.(So far, completed four phases deployment)
Challenges
Bioinformatics Medicine
R&D
Storage
Computing
Network
Huawei HPC solution
"We are impressed by Huawei's HPC solution that integrates
computing, storage, and network resources. Huawei's HPC solution
provides us with an easy-to-expand and cost-effective HPC cluster.
This is the solution we need."
— Jason Bain, Deputy Dean of the IT Infrastructure and Architecture
Department, Newcastle University
Molecular
dynamics
simulation

11. 10
HPC Platform for BJTU, China
 Task-driven IT infrastructure causes decentralized computing resources and inefficiency planning.
 The existing IT system has difficulty in HPC software deployment and further expansion and causes high
storage cost.
 A unified educational cloud computing platform is required.
Challenges
 Huawei provides a one-stop solution. E9000 blade servers configured with the CH121 compute nodes are
used to implement high-density computing. The 2 U four-socket RH2485 V2 rack servers are used to provide
large storage capacity. Huawei also uses the RH2285 V2 servers to deploy the GPGPU nodes to perform
graphics acceleration, floating-point calculation, and concurrent computing acceleration.
 The Huawei FusionCluster provides powerful policy management by using a wide range of task and resource
scheduling algorithms and supporting user-defined scheduling algorithms.
 The Huawei HPC solution allows storage capacity expansion to the PB level by adopting the Lustre storage
scheme, meeting expansion requirements in the next five years.
Solution
 The Huawei one-stop solution provides 30.5 TFLOPS and improves the overall system performance by 80%.
 The HPC platform implements unified resource planning, improving equipment utilization efficiency and
reducing the costs from maintenance personnel and redundant construction.
 The deployment period is greatly shortened thanks to the one-stop delivery of hardware and software. The
HPC platform offers high scalability that meets requirements for system capacity expansion in the next 10
years.
 Virtualization and cloud computing technologies reduce IT management and operational costs and improve
hardware utilization for BJTU.
Customer Benefits
用户logo
应用场景图
1、第一选择：客户实景图，包括建筑大楼、机房、布局图
等代表图片
2、第二选择：客户所在行业/城市代表图片

12. 11
Solution
• The previous standalone serial computing mode had poor computing
capabilities. Simulated computing was time-consuming and complex
computing tasks could not be executed, which hindered the research
progress of the university.
• Computing and storage resources could not be shared, which resulted in
a low resource utilization rate.
Challenges
Customer Benefits
HPC Platform for YTU, Turkey
• Yildiz Technical University (YTU), founded in 1911, is one of the seven
public universities in Istanbul and is also one of the oldest and most
prominent universities in Istanbul. Its predecessor is Yildiz University
founded in 1882. YTU is dedicated to engineering sciences, and has three
campuses and 17000+ students nowadays. YTU wanted to deploy an HPC
platform to improve its abilities in the scientific research and to provide
various HPC resources for enterprises in its science park.
• 256 RH2288 V2 2-socket rack servers were deployed as computing
servers to provide the maximum computing capability of 90 TFLOPS. 10
RH5885H V3 servers and 40 NVDIA K20X GPGPUs were used as
acceleration nodes to provide the maximum computing capability of 57.5
TFLOPS.
• One OceanStor18000 was deployed as the storage system, which
provided 300 TB storage capacity. Six RH2288 V2 servers were deployed
to run the commercial Lustre software, which provided a high-
performance parallel file system.
• The QDR 40GE network was used to ensure high-speed data
communication.
• Huawei's HPC platform provides superb computing performance to
improve scientific research efficiency by 80%.
• End-to-end provisioning and unified management reduce maintenance
cost by 30%.

13. Copyright©2016 Huawei Technologies Co., Ltd. All Rights Reserved.
The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There is a number of factors that
could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an
acceptance. Huawei may change the information at any time without notice.
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY

14. 13
Entry Level
1 Lustre control server RH2285H (2*E5-2403, 2*8G MEM,
2*300G SAS)
2 MDS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
2 OSS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
1 S2600T, 16G cache;
600G SAS disk for MGT and MDT;
2~4TB NLSAS hard disks 4 groups RAID6(8+2) for OST
The servers and SAN uses dual 8G FC connectivity hence no
need for an FC switch
Deploys IEEL
Configuration
Performance
IOR write bandwidth 1GB/s
IOR read bandwidth 1.8GB/s
S2600T MDS Pair
OSS Pair
INFINIBAND
8G FC
Computing
nodes
Network chart
ETH

15. 14
Bigger
1 Lustre control server RH2285H (2*E5-2403, 2*8G MEM,
2*300G SAS)
2 MDS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
2 OSS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
1 S5600T, 48G cache;
600G SAS for MGT and MDT;
2~4TB NLSAS hard disks 6 groups RAID6(8+2) for OST
The servers and SAN uses dual 8G FC connectivity hence no
need for a FC switch
Deploys IEEL
Configuration
Performance
IOR write bandwidth 1.55GB/s
IOR read bandwidth 2.9GB/s
Network chart
S5600T MDS Pair
OSS Pair
INFINIBAND
8G FC
Computing
nodes
ETH

16. 15
Bigger Higher Performance
1 Lustre control server RH2285H (2*E5-2403, 2*8G
MEM,2*300G SAS)
2 MDS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
2 OSS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G SAS,
1*QDR/FDR IB card, 2* dual 8G FC HBA)
1 S2600T
600G SAS hard disk for MGT and MDT
1 S6800T, 192G cache
2~4TB NLSAS hard disks 8 groups RAID6(8+2) for OST
The servers and SAN uses dual 8G FC connectivity hence no
need for a FC switch
Each MDS node has 2 FC connections, each OSS node has 4
FC connections
Deploys IEEL
Configuration
Performance
IOR writes bandwidth 3.2GB/s
IOR read bandwidth 4GB/s
S2600T MDS Pair
S6800T
OSS Pair
INFINIBAND
8G FC
Computing
nodes
ETH
Network chart

17. 16
Bigger Again
1 Lustre control server RH2285H (2*E5-2403, 2*8G
MEM,2*300G SAS)
2 MDS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G
SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
8 OSS nodes RH2288H (2*E5-2620, 8*8G MEM, 2*300G SAS,
1*QDR/FDR IB card, 1* dual 8G FC HBA)
1 S2600T,
600G SAS hard disk for MGT and MDT
4 S5600T, 48G cache
2~4TB NLSAS hard disks, 6 groups RAID6(8+2), for OST
The server and FC SAN uses double controls the 8G FC
straight company, does not need the FC switchboard
Deploys IEEL
Configuration
Performance
IOR write bandwidth 6GB/s
IOR read bandwidth 10GB/s
S2600T
S5600T
MDS Pair
OSS Pair
S5600T
OSS Pair
S5600T
OSS Pair
S5600T
OSS Pair
INFINIBAND
8G FC
Computing
nodes
Lstre manage
ETH

18. 17
Bigger Again Higher Performance
1 Lustre control server, configures RH2285H V2 (2*E5-2403,
2*8G MEM,2*300G SAS, board carries GE)
2 MDS nodes, configure RH2288H V2 (2*E5-2620v2, 8*8G
MEM, 2*300G SAS, 1*QDR/FDR IB card, 1* dual 8G FC HBA)
8 OSS nodes, configure RH2288H V2 (2*E5-2620v2, 8*8G
MEM, 2*300G SAS, 1*QDR/FDR IB card, 2* dual 8G FC HBA)
1 S2600T,
600G SAS hard disk for MGT and MDT
4 S6800T, 192G cache,
2~4TB NLSAS hard disk, 8 groups RAID6(8+2) for OST
The servers and SAN uses dual 8G FC connectivity hence no
need for a FC switch
Each MDS node has 2 FC connections, each OSS node has 4
FC connections
Deploys IEEL
Configuration
Performance
IOR write bandwidth 12GB/s
IOR read bandwidth 16GB/s
S2600T
S6800T
MDS Pair
OSS Pair
S6800T
OSS Pair
S6800T
OSS Pair
S6800T
OSS Pair
INFINIBAND
8G FC
Computing
nodes
ETH