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New Product Launch
ClusterStor™ 1500
Departmental Scale-Out Storage for HPC
April 29, 2013
“Missing Middle”
Widely Distributed Industrial Users – Many Years Underserved
2
Department Level
Critical Mass
Exploding Now!
Middle Market
Shifting from
Vendor Push to
Strong User Pull
*National Center for Manufacturing
Sciences
Previous Barriers
•  Lack of affordable HPC
technology for mid market
•  Too hard to build your own using
piece parts
•  Lack of skills and expertise
•  No time, need results now
•  Lack of scale, proprietary lock in,
too complex
Wide Open
Growth
•  Affordable engineered HPC
solution for mid market
•  Pre-built, optimized and highly
efficient appliance
•  Easy to use with integrated
solution management
•  Out of box ready to use
•  Best of large HPC, packaged for
departmental users
ClusterStor 1500 Resolves Departmental
Capabilities Gap
3
Affordable Lustre® Appliance Opportunity
Lustre Expands Beyond the Top 100
NFS struggles to keep up with departmental 32 node and above sweet spot
4
IDC HPC Storage Market
Segmentation Revenue 2011
$0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800
Workgroup
Departmental
Divisional
Supercomputer
Workgroup Departmental Divisional Supercomputer
$Ms $460 $1,322 $473 $1,657
Up to 16 Nodes
16 to 128 Nodes
> 512 Nodes
128 to 512 Nodes
NFS
Affordable
Easy to Use
Lustre
Appliance
Opportunity-
Lustre
Dominates
Maximum
Scale-Out-
TOP 100
ClusterStor 1500 Features & Benefits
Departmental Scale-Out Storage for HPC and Big Data
5
No compromise best-in-class
affordable departmental
storage
Superior ROI
Works out of the box
with ease of use
Fully integrated solution
visibility and management
Proactive support and
professional services
Investment protection
Purpose Built to Satisfy Department
Level Needs
6
ClusterStor 1500 value for
departmental HPC
– Cost-efficient
– Easy to deploy and manage
– Works out of the box
– Reliable even under heavy workloads
– Highly scalable in performance and
storage capacity to match evolving
compute cluster needs
Thank You
Ken_Claffey@xyratex.com

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ClusterStor 1500 Departmental Scale-Out Storage for HPC

  • 1. New Product Launch ClusterStor™ 1500 Departmental Scale-Out Storage for HPC April 29, 2013
  • 2. “Missing Middle” Widely Distributed Industrial Users – Many Years Underserved 2 Department Level Critical Mass Exploding Now! Middle Market Shifting from Vendor Push to Strong User Pull *National Center for Manufacturing Sciences
  • 3. Previous Barriers •  Lack of affordable HPC technology for mid market •  Too hard to build your own using piece parts •  Lack of skills and expertise •  No time, need results now •  Lack of scale, proprietary lock in, too complex Wide Open Growth •  Affordable engineered HPC solution for mid market •  Pre-built, optimized and highly efficient appliance •  Easy to use with integrated solution management •  Out of box ready to use •  Best of large HPC, packaged for departmental users ClusterStor 1500 Resolves Departmental Capabilities Gap 3
  • 4. Affordable Lustre® Appliance Opportunity Lustre Expands Beyond the Top 100 NFS struggles to keep up with departmental 32 node and above sweet spot 4 IDC HPC Storage Market Segmentation Revenue 2011 $0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 Workgroup Departmental Divisional Supercomputer Workgroup Departmental Divisional Supercomputer $Ms $460 $1,322 $473 $1,657 Up to 16 Nodes 16 to 128 Nodes > 512 Nodes 128 to 512 Nodes NFS Affordable Easy to Use Lustre Appliance Opportunity- Lustre Dominates Maximum Scale-Out- TOP 100
  • 5. ClusterStor 1500 Features & Benefits Departmental Scale-Out Storage for HPC and Big Data 5 No compromise best-in-class affordable departmental storage Superior ROI Works out of the box with ease of use Fully integrated solution visibility and management Proactive support and professional services Investment protection
  • 6. Purpose Built to Satisfy Department Level Needs 6 ClusterStor 1500 value for departmental HPC – Cost-efficient – Easy to deploy and manage – Works out of the box – Reliable even under heavy workloads – Highly scalable in performance and storage capacity to match evolving compute cluster needs