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Vendor Update: Penguin Computing Arend Dittmer, Penguin Computing.

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1 Vendor Update: Penguin Computing Arend Dittmer, Penguin Computing

2 Copyright © 2009 Penguin Computing, Inc. All rights reserved  100% Linux focus  Founded 1998  Initial focus on ‘reliable’ Linux systems  Shift to HPC in 2003  Over 2500 Customers - Enterprise, Academia, Government, Web Companies Penguin Computing History Penguin Computing is a global specialist in the technical computing market delivering solutions and services from the workstation to the cloud with a focus on ease of use, cutting edge technology and delivering superior customer value

3 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Scyld ClusterWare™  Scyld TaskMaster™  Enterprise Linux  Compilers & Tools HPC Cluster Solutions 3 Professional Services and Engineering Cluster Management Software Linux Systems Storage Workstations Servers HPC Clusters HPC as a Service - Penguin on Demand Optimized for Linux Ease of ManagementElastic Computing Linux and Cluster Expertise  Intel® & AMD® Rackmount Servers  Storage  Networking  Infrastructure  GPGPUs  Professional Workstations  Factory Integration  Onsite Installation  Training  Product Support  Software Support  Customized Service Engagements  On-demand environment  HPC ‘optimized’  Tiered ‘Pay-as- you-go’ pricing  Premium set- up and support services

4 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Dual-processor server  Tested and qualified for ‘super-clocked’ AMD processor  Highest clock speeds available in any current AMD server  Standard 1U form factor  Best price performance for $/GHz Hardware Update: Altus

5 Copyright © 2009 Penguin Computing, Inc. All rights reserved High Performance Computing Today - Challenges 5  Variable demand  Expertise required to provide quality service  Technology obsolescence

6 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Access on-demand  Dynamically scalable  ‘Pay-as-you-go’  Expertise included  Environment setup  Optimization  Applications  On-going support Ideal as ‘spill over’ for ‘bursty’ workload HPC as a Service – The future of HPC 6

7 Copyright © 2009 Penguin Computing, Inc. All rights reserved Sample of Current POD Usage 7  Gene sequencing - SOLiDBioScope.com  Digital Content encoding  Web data processing for 3D mapping  Fluid dynamics analysis – heart modeling  Transient finite element analysis – safety systems  Real time rendering – mental images Reality Server

8 Copyright © 2009 Penguin Computing, Inc. All rights reserved Customer Case Studies 8

9 Copyright © 2009 Penguin Computing, Inc. All rights reserved Backup Slides 9

10 Copyright © 2009 Penguin Computing, Inc. All rights reserved Customer Case Studies 10  Replace in-house cluster with POD compute and storage solution.  Integrated POD with Amazon’s EC2 to optimize Earthmine’s workflow. Combined with POD’s Disk2Storage service, Earthmine is able to ship and process data from world-wide collection systems completely on-demand.  POD’s Cloud Management Platform processes up to 50,000 Earthmine jobs at a time.  HPC cloud cycles and storage to determine Ozzy Osbourne's genetic sequence.  Fast genome sequencing using Life Technologies BioScope SaaS offering, “SOLIDBioScope.com”. Project completed in 1 week using POD’s HPC cluster.  Recently featured in Bio-IT World.com and ST. Louis Business Journal  Part of an ongoing $400,000 POD Services Contract with Life Technologies. “Penguin Computing's Disk2Server Solution allows us to ship terabytes of data from our collection vehicles deployed across the world directly to the POD facility for processing with very minimal downtime and almost no hassle.” - John Ristevski, CTO and Co-founder, Earthmine Solution Provided “Matt Dyer used cloud resources offered by Penguin Computing (Penguin Computing On Demand). After Cofactor uploaded the sequence data … Dyer logged on and took over with immediate access to thousands of compute nodes” - Bio-IT World.com, October 30, 2010

11 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Initial capital costs ($100K and up)  Ongoing operating costs (power, cooling, support, service contracts, administration)  High cost per core hour (peak can be 3 to 4x average)  Technology obsolescence (current for 12 months)  Time to results (high utilization = delays in job execution)  Fixed Capacity (demand is variable)  Difficult to collaborate outside of the firewall (data collaboration requirements are growing) High Performance Computing Today - Challenges

12 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Capacity  Xeon E5540/EE5430 quad-core processors  GigE or Infiniband interconnect, 4GB/core  Panasas high-speed storage, 10GigE  NetApp direct-attached file storage, GigE  1TB scratch (local) storage per node  NVIDIA Tesla GPUs  150Mb average bandwidth (burstable to 1Gb)  Additional Capacity  Higher core-count servers (24-cores per node)  Larger memory (128GB plus) HPC Capabilities on PoD 12

13 Copyright © 2009 Penguin Computing, Inc. All rights reserved  “Fire and forget” compute  Persistent, secure login and compute environment with compute and storage proximity  Scales from 1 to 640 cores per user (soft limit)  Maximum of 50% average utility (headroom = minimum wait times)  Standard interface  ssh, rcp, scp  Typical directory structure /home, /data, /scratch  Easy data movement  50Mb Internet connection per user  “Helping hands” for POD Caddy data transfer (>50GB)  Server to server drive transfer POD Features 13

14 Copyright © 2009 Penguin Computing, Inc. All rights reserved POD Unit – 640 Cores 14

15 Copyright © 2009 Penguin Computing, Inc. All rights reserved POD Architecture (User’s view) 15 Virtual Login Node POD Login Node (VM) all software and middleware typical of a Head Node submit jobs, look at results, compile, etc. remote mount to data shares TORQUE client (points to Head Node) POD Head Node POD Compute Node ssh scp rsync Job scheduler (fair share policy) /scratch/[username] /home/panasas/[username]/podstore/[username]

16 Copyright © 2009 Penguin Computing, Inc. All rights reserved Example POD Customers 16 Bio / Life Sciences Enterprise / ISV Research

17 Copyright © 2009 Penguin Computing, Inc. All rights reserved Sample of Current POD Usage 17  Gene sequencing and bio informatics - SOLiDBioScope.com  Movie post-processing  Web data processing for mapping  Fluid dynamics analysis – heart modeling  Transient finite element analysis – safety systems  Real time rendering – mental images Reality Server

18 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Developing encoding IP  HDTV, Blu Ray etc.  Scalable compute intensive algorithms  Iterative development process  Faster turnaround of encoding jobs  Increased development efficiency  Massive amounts of ‘raw’ data as encoding input  Limited ‘in-house’ resources and admin capabilities  Uneven workload over time Case Study: Dolby Laboratories 18

19 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Migration of scalable algorithms to POD  Scale out of up to 100 cores per job  Data management  ‘Raw’ data upload through POD’s caddy service  Processed encoded data downloaded  Reduced job runtime from 2 days  2 hours “The use of POD is contributing significantly to making our development process more efficient” Gopi Lakshminarayanan, Director of Software Development The POD Solution 19

20 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Specialized in 3D street level imagery  Library of 3D street level data/API’s for web applications  Allows for application integration of interactive street level maps  Images spatially accurate  Eight 2D images per location need to be processed to create accurate 3D ‘image’  Image processing computationally expensive  Uneven workload dependent on # of data collection vehicles  Limited in-house resources for data processing Case Study: Earthmine Inc. 20

21 Copyright © 2009 Penguin Computing, Inc. All rights reserved “Overall, the experience has been great. POD is fast, reliable, and works as described. In particular, POD has provided excellent support and Penguin has gone out of its way many times to accommodate our requests for technical help and to meet our fast-changing needs." John Ristevski, CTO Earthmine The POD Solution 21  POD provides ‘overflow’ capacity  Submission of up to 40,000 jobs per day  Integration with Amazon EC2 hosting Earthmine cloud services

22 Copyright © 2009 Penguin Computing, Inc. All rights reserved Penguin’s Ecosystem Application / ISV Partners Operating System & Compiler Partners Operating System & Compiler Partners Hardware Partners Hardware Partners

23 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Accessible from anywhere  Highly-secure, state-of-the-art facility protects account information, data and job execution  Expertise included  environment set up  optimization  on-going support  Pay as you go  On-demand access, dynamically scalable  1280 compute cores per POD - each compute node has dual 2.67GHz Xeon processors, 8 cores each.  32GB DDR2-667 memory per server (4GB per core) and 1TB local disk scratch space.  GigE or Infiniband (10Gb) interconnect between compute nodes.  Direct attached storage on a 10Gb network, with the option of Panasas high-speed parallel file system storage.  Web servers directly attached to the compute infrastructure for hosting customer facing Web sites. HPC as a Service

24 Copyright © 2009 Penguin Computing, Inc. All rights reserved  “Overall, the experience has been great. POD is fast, reliable, and works as described. In particular, POD has provided excellent support and Penguin has gone out of its way many times to accommodate our requests for technical help and to meet our fast-changing needs as far as software and schedule.” - John Ristevski, Earthmine Inc.  “Using the POD on-demand computing system for processing high-end genetics data was an extremely positive experience in high performance cloud computing … The on-demand availability of powerful servers coupled with exemplary technical support makes POD the superior choice for cutting-edge medical research.” - Milan Radovich, Indiana School of Medicine  "The computational resources to process next-gen sequencing data keeps growing as sequencers increase the amount of DNA generated. Penguin Computing's POD solution extends our computational capacity on demand. In that way we can process unpredicted picks of load we may have. PC's support people is highly efficient and the infrastructure delivers the power our computations require." - David Rio Deiros, Baylor College of Medicine POD Testimonials

25 Copyright © 2009 Penguin Computing, Inc. All rights reserved Penguin on Demand $~0.25/core hour - no monthly commitment Academic pricing available Cost Comparison

26 Copyright © 2009 Penguin Computing, Inc. All rights reserved Usage Rates 26 ServiceFee Core hour rates$0.27 to $0.20 pch (depends on usage) Dedicated servers$1,400 to $1,650 per month ($0.16 to $0.19 pch) On-demand Storage and Fast-access Scratch Storage $200 per TB-month Combination Login/Storage Node (48TB raw)$2200/month (diskless) Persistent Login Node Virtual Machine - $165/month Physical Server - $290/month Bandwidth (over first TB per month) $0.25 per GB-in $0.15 per GB-out Support Included with 2,000 core hour per month users Per Incident Support available at $350

27 Copyright © 2009 Penguin Computing, Inc. All rights reserved Storage OptionsCapacityCost PODStore (R4724)48TB each – on demand$200/TB-month Panasas (Series 8) 40TB total – on demand (fast scratch) $650/TB-month R1701 (4 drive bays) 4 – 8 TB dedicated, long-term $60-120/TB-month (requires annual commitment) R4724 (24 drive bays) 24 – 48 TB dedicated, long-term $50-100/TB-month (requires annual commitment POD Storage Options 27 Dedicated Storage Node also serves as a physical Login Node User data transferred to POD on disks can be immediately available User can have complete control over data transferred (software RAID, encryption, etc.)

28 Copyright © 2009 Penguin Computing, Inc. All rights reserved  1 year, 2048 cores  Fixed capacity  $0.15 PCH  $2.7M Hybrid Usage – Annual Commitment Plus On-Demand 28  1 year, 1024 cores (base utilization)  1024 cores on demand (33% utilization)  $0.17 PCH (average)  $2.1M  Same peak capacity Annual commitment, fixed capacity Pure on-demand Scalability $ per core hour Annual commitment Hybrid – Partial Annual Commitment plus On-Demand Using on-demand to satisfy peaks reduces overall cost even though $ per core hour is higher

29 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Founded 1998 – One of HPC industry’s longest track records of success  Over 2500 Customers in Enterprise, Academia, Government and Leading Web Companies  Donald Becker, CTO – Inventor of Beowulf architecture and primary contributor to Linux kernel Penguin Vision and Focus Penguin Computing is fueling the next generation of growth in the HPC computing market by delivering unprecedented ease of use, scalability and utility to the industry’s most demanding users.

30 Copyright © 2009 Penguin Computing, Inc. All rights reserved 2,500 Tier 1 Customers 30 Government / Defense Government / Defense Life Sciences Research & Education Enterprise / Manufacturing Enterprise / Manufacturing

31 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Scyld ClusterWare™  Scyld TaskMaster™  Enterprise Linux  Compilers & Tools Penguin Solutions Offer Flexible Computing Options 31 Professional Services and Engineering Cluster Management Software Linux Systems Storage Workstations Servers HPC Clusters Cloud/On- Demand Hosting Services Optimized for Linux Ease of ManagementElastic Computing Linux and Cluster Experts  Intel® & AMD® Rackmount Servers  Professional Workstations  Storage  Networking  Datacenter Infrastructure  Factory Integration  Onsite Installation  Training  Product Support  Software Support  Customized Service Engagements  On-demand HPC environment  Simple data services with tiered pricing  Premium set-up and support services

32 Copyright © 2009 Penguin Computing, Inc. All rights reserved Penguin’s Ecosystem Application / ISV Partners Operating System & Compiler Partners Operating System & Compiler Partners Hardware Partners Hardware Partners

33 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Initial capital costs ($100K and up)  Ongoing operating costs (power, cooling, support, service contracts, administration)  High cost per core hour (peak can be 3 to 4x average)  Technology obsolescence (current for 12 months)  Time to results (high utilization = delays in job execution)  Fixed Capacity (demand is variable)  Difficult to collaborate outside of the firewall (data collaboration requirements are growing) High Performance Computing Today - Challenges

34 Copyright © 2009 Penguin Computing, Inc. All rights reserved  HPC in the cloud (rather than cloud computing)  Highly-secure, state-of-the-art facility protects account information, data and job execution.  Expertise included:  environment set up  optimization  on-going support  Accessible from anywhere in the world  Pay as you go  On-demand access, dynamically scalable  1280 compute cores per POD - each compute node has dual 2.67GHz Xeon processors, 8 cores each.  32GB DDR2-667 memory per server (4GB per core) and 1TB local disk scratch space.  GigE or Infiniband (10Gb) interconnect between compute nodes.  Direct attached storage on a 10Gb network, with the option of Panasas high-speed parallel file system storage.  Web servers directly attached to the compute infrastructure for hosting customer facing Web sites. HPC as a Service – A Future of HPC

35 Copyright © 2009 Penguin Computing, Inc. All rights reserved  “Fire and forget” compute  Persistent, secure login and compute environment with compute and storage proximity  Scales from 1 to 640 cores per user (soft limit)  Maximum of 50% average utility (headroom = minimum wait times)  Standard interface  ssh, rcp, scp  Typical directory structure /home, /data, /scratch  Easy data movement  50Mb Internet connection per user  “Helping hands” for POD Caddy data transfer (>50GB)  Server to server drive transfer  HPC expertise and fanatical on-line support  High-speed Internet connection (50Mbps per user) POD Features 35

36 Copyright © 2009 Penguin Computing, Inc. All rights reserved POD Unit – 1280 Cores 36 Internet (50Mb, burstable to 1Gb) x 2

37 Copyright © 2009 Penguin Computing, Inc. All rights reserved POD Architecture (User’s view) 37 Virtual Login Node POD Login Node (VM) all software and middleware typical of a Head Node submit jobs, look at results, compile, etc. remote mount to data shares TORQUE client (points to Head Node) POD Head Node POD Compute Node ssh scp rsync Job scheduler (fair share policy) /scratch/[username] /home/panasas/[username]/podstore/[username]

38 Copyright © 2009 Penguin Computing, Inc. All rights reserved Storage OptionsCapacityCost PODStore (R4724)48TB each – on demand$200/TB-month Panasas (Series 8) 40TB total – on demand (fast scratch) $650/TB-month R1701 (4 drive bays) 4 – 8 TB dedicated, long-term $60-120/TB-month (requires annual commitment) R4724 (24 drive bays) 24 – 48 TB dedicated, long-term $50-100/TB-month (requires annual commitment POD Storage Options 38 Dedicated Storage Node also serves as a physical Login Node User data transferred to POD on disks can be immediately available User can have complete control over data transferred (software RAID, encryption, etc.)

39 Copyright © 2009 Penguin Computing, Inc. All rights reserved  “Overall, the experience has been great. POD is fast, reliable, and works as described. In particular, POD has provided excellent support and Penguin has gone out of its way many times to accommodate our requests for technical help and to meet our fast-changing needs as far as software and schedule.” - John Ristevski, Earthmine Inc.  “Using the POD on-demand computing system for processing high-end genetics data was an extremely positive experience in high performance cloud computing … The on-demand availability of powerful servers coupled with exemplary technical support makes POD the superior choice for cutting-edge medical research.” - Milan Radovich, Indiana School of Medicine  "The computational resources to process next-gen sequencing data keeps growing as sequencers increase the amount of DNA generated. Penguin Computing's POD solution extends our computational capacity on demand. In that way we can process unpredicted picks of load we may have. PC's support people is highly efficient and the infrastructure delivers the power our computations require." - David Rio Deiros, Baylor College of Medicine POD Testimonials

40 Copyright © 2009 Penguin Computing, Inc. All rights reserved Penguin on Demand $~0.25/core hour - no monthly commitment Academic pricing available Cost Comparison

41 Copyright © 2009 Penguin Computing, Inc. All rights reserved Usage Rates 41 ServiceFee Core hour rates$0.27 to $0.20 pch (depends on usage) Dedicated servers$1,400 to $1,650 per month ($0.16 to $0.19 pch) On-demand Storage and Fast-access Scratch Storage $200 per TB-month Combination Login/Storage Node (48TB raw)$2200/month (diskless) Persistent Login Node Virtual Machine - $165/month Physical Server - $290/month Bandwidth (over first TB per month) $0.25 per GB-in $0.15 per GB-out Support Included with 2,000 core hour per month users Per Incident Support available at $350

42 Copyright © 2009 Penguin Computing, Inc. All rights reserved  1 year, 2048 cores  Fixed capacity  $0.15 PCH  $2.7M Hybrid Usage – Annual Commitment Plus On-Demand 42  1 year, 1024 cores (base utilization)  1024 cores on demand (33% utilization)  $0.17 PCH (average)  $2.1M  Same peak capacity Annual commitment, fixed capacity Pure on-demand Scalability $ per core hour Annual commitment Hybrid – Partial Annual Commitment plus On-Demand Using on-demand to satisfy peaks reduces overall cost even though $ per core hour is higher

43 Copyright © 2009 Penguin Computing, Inc. All rights reserved Example POD Customers 43 Bio / Life Sciences Enterprise / ISV Research

44 Copyright © 2009 Penguin Computing, Inc. All rights reserved Sample of Current POD Usage 44  Gene sequencing and bio informatics (SOLiDBioScope.com)  Film post-processing  Batch data analysis (financial)  Web data processing (mapping)  FEA as a service – heart modeling  Fluid dynamics analysis  General purpose transient finite element analysis

45 Copyright © 2009 Penguin Computing, Inc. All rights reserved  State-Of-The-Art Data Center  MPLS Network Capable for VPN  Virtual Private Cluster technology in Q3, 2010  Acceptable Use Policies  Dedicated Storage  Not shared  Cheaper than on-demand storage  ITAR Compliance  US Citizens  Data and application security (dedicated Login Node)  “Server to Server” Data Transfer  User sets security level  Full encryption capability POD Security 45

46 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Programmatic interface (Web services)  Options for increased security – “DSC”  Dynamically scalable cluster  Created on-demand at the switch level  VPN, MPLS capable  Full access to compute resources (e.g. IPMI)  Options for increased flexibility  Root access to physical head node  Subnet management  OS provisioning  Dedicated compute resources Design Goals for POD2 46

47 Copyright © 2009 Penguin Computing, Inc. All rights reserved Virtual Private Cluster Internet (150Mb, burstable to 1Gb) x 2 Virtual Cluster Manager

48 Copyright © 2009 Penguin Computing, Inc. All rights reserved  DSC Management  Resource availability  Cluster reservation  Cluster creation, scaling, tear-down  Subnet management  Reporting/Administrat ion  Storage management Scyld for the Cloud (Q3, 2010)  Scyld ClusterWare Functionality > Job scheduling (TORQUE/SGE/TaskMaster) > Node monitoring and control (IPMI/Beostatus) > Asset Monitoring (synchronized with Support Portal) > Hybrid provisioning (node grouping)  Integrated Management Framework POD Internal clusters Internet or MPLS network LAN or VPN

49 Copyright © 2009 Penguin Computing, Inc. All rights reserved Development Schedule – April

50 Copyright © 2009 Penguin Computing, Inc. All rights reserved  State-Of-The-Art Data Center  MPLS Network Capable for VPN  Virtual Private Cluster technology in Q3, 2010  Acceptable Use Policies  Dedicated Storage  Not shared  Cheaper than on-demand storage  ITAR Compliance  US Citizens  Data and application security (dedicated Login Node)  “Server to Server” Data Transfer  User sets security level  Full encryption capability POD Security 50

51 Copyright © 2009 Penguin Computing, Inc. All rights reserved  Programmatic interface (Web services)  Options for increased security – “DSC”  Dynamically scalable cluster  Created on-demand at the switch level  VPN, MPLS capable  Full access to compute resources (e.g. IPMI)  Options for increased flexibility  Root access to physical head node  Subnet management  OS provisioning  Dedicated compute resources Design Goals for POD2 51

52 Copyright © 2009 Penguin Computing, Inc. All rights reserved Virtual Private Cluster Internet (150Mb, burstable to 1Gb) x 2 Virtual Cluster Manager

53 Copyright © 2009 Penguin Computing, Inc. All rights reserved  DSC Management  Resource availability  Cluster reservation  Cluster creation, scaling, tear-down  Subnet management  Reporting/Administrat ion  Storage management Scyld for the Cloud (Q3, 2010)  Scyld ClusterWare Functionality > Job scheduling (TORQUE/SGE/TaskMaster) > Node monitoring and control (IPMI/Beostatus) > Asset Monitoring (synchronized with Support Portal) > Hybrid provisioning (node grouping)  Integrated Management Framework POD Internal clusters Internet or MPLS network LAN or VPN


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