IDC HPC User Forum Update

APRIL 16, 2012

PANASAS PRODUCT MARKETING

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PANASAS OVERVIEW

Panasas Solutions Shipping Since 2004• ActiveStor appliances in 4th generation, 19 patents issued, others pending

Panasas Management• Storage-focused executive management team• Highly experienced technical team

− Dr. Garth Gibson, founder & Chief Scientist, author of seminal “Berkeley RAID Paper”− Dr. Brent Welch, Chief Technology Officer

• Near doubling of staffing in 2011− Major expansion in engineering and global sales presence

VC Funded• Intel Capital, Mohr Davidow, Carlyle Group, Centennial

Industry Recognition

Faye Pairman

Cloud Project of the Year

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PANASAS GROWTH

Strong Financial Position• Double-digit revenue growth

Loyal, Brand Name Customers • >75% repeat buyers

Global Presence• >400 customers• >50 countries

Revenue & Customer Growth

Worldwide Support with Over 50 Resellers

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WHAT IS BIG DATA?

Name to describe a quantum shift in information technology• Big data requires new software tools and hardware systems to capture,

store, and process data in a tolerable timeframe

Big data is not a data type, it is a data phenomenon• The use of data to extract value

Data only becomes big data when it creates value• Provide predictive answers to complex questions• Faster time-to-results through simulation (vs. experimentation)• Enhanced productivity by sharing data sets• Better targeting of products

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HOW BIG DATA VALUE IS CREATED

ENGINEERING COLLABORATIONDesign OptimizationProcess FlowFluid Dynamics3D Modeling

SIMULATIONGenome SequencingSeismic ProcessingMonte CarloVisualization

ANALYTICSPredictive ModelingDecision ProcessingDemographicsBehavior Analysis

DATA WAREHOUSEHostingDigitization/archiveBackupWeb 2.0

BIG Data Application Segments

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BIG DATA STORAGE GROWTH

Huge growth in unstructured data

Source: IDC 20111 IP-SAN market includes iSCSI, InfiniBand, Switched SAS and Fibre Channel over Ethernet markets

23%

60%

2009

– 20

14E C

AGR = 51

%

2009–14E CAGR

10.216.0

28.5

42.2

67.4

4.7

6.0

7.5

9.8

10.6

2010 2011 2012 2013 2014

File-based (NAS) Block-based (SAN)

23%

60%CAGR

CA

PAC

ITY

IN E

XA

BY

TES

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TRADITIONAL STORAGE SYSTEMS

DATA CENTER ISSUES

PERFORMANCE

SCALABILITY

IT COMPLEXITY

IT BUDGETS

EXISTING STORAGE TECHNOLOGIES

Lag improvements in processing and networking

Not optimized for flexible deployments required today

Lack of interoperability and manageability

Static budgets despite exponential growth of data

• 20-year-old file systems do not easily or inexpensively support new data models

• Requires next-generation architectures

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BIG DATA STORAGE REQUIREMENTS

Global namespace• Consolidated view of networked storage• Global access to files

Scale-out storage• Storage scales by adding more devices• Seamless and non-disruptive

Dynamic load balancing• Data is automatically re-balanced in the background to ensure balanced

performance

Parallel data access• Direct access between compute clients and data storage• No filer heads in the data path• Performance scales with capacity

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PANASAS® ACTIVESTOR™

Scale Out Storage for HPC Seamless scaling from 40TB to 6PB of storage Compute nodes see a single, unified namespace Scales up to 1000 storage nodes

Fully Parallel Data Access• Performance scales to150GB/s and beyond• No in-band filer heads or hardware RAID controllers

to constrain performance

Easy to Deploy, Use, and Manage• Set up or grow capacity in under ten minutes• Dynamic load balancing as new storage is added

High Reliability and Availability• Object RAID with vertical parity and parallel RAID

reconstruction limits exposure upon drive failure• High redundancy in hardware and software

ActiveStor10 shelves, 600TB

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ACTIVESTOR BLADE ARCHITECTURE

CPU, cache, network Orchestrates system activity Metadata services

60TB per 4U chassis Scalable to 6 petabytes Up to 1.5GB/s per chassis New storage integrates seamlessly Low Total Cost of Ownership

CPU, cache, data storage Enables parallel reads/writes Advanced caching algorithms

10GbE networking InfiniBand Router 2 option

for IB connectivity

Director Blade

Storage Blade

600TB & 15GB/s per 40U rack

ActiveStor Appliance

Switch Module

Full Rack

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DIRECTFLOW® MAXIMIZES PERFORMANCE

DirectFlow Client• Standard installable file system• Enables parallel, direct client

communication to disk• Framework for emerging pNFS

standard

Director Blades• Namespace of virtual volumes• Scalable metadata

(no bottleneck)

Storage Blades• Wide striping for large files• Read ahead/write behind for small

files

NFS and CIFS Access• Fully supported for heterogeneous

client access

Panasas DirectFlow Data Path

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PNFS: INDUSTRY-STANDARD PARALLELISM

pNFS is an extension included in the Network File System v4.1 protocol standard.

pNFS enables parallel, direct access.• From pNFS clients to storage devices over multiple storage protocols• Moves the NFS (metadata) server out of the data path• Most valuable for storage systems based on parallel file systems

pNFSClients

Object (OSD) /File (NFS) /Block (FC)StorageNFSv4.1 Server

data

metadatacontrol

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PNFS TIMELINE

2003: DirectFlow starts shipping as a Panasas proprietary precursor to pNFS

2003: pNFS born out of discussions Panasas CTO Garth Gibson had with Gary Grider (LANL), Lee Ward (Sandia), and Peter Honeyman (UMich/CITI)

2004-2008: Industry level coalition built (Panasas, NetApp, Sun, others). Collaboration via the IETF standards body make pNFS part of NFSv4.1.• 2010: Final IETF RFCs for NFSv4.1 (including pNFS) published

2009-2012: Linux NFSv4.1 client and server code developed 2012-2013: First Linux distributions with viable pNFS support

and first storage systems with pNFS server-side support Next up: pNFS goes into production!

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WHY PANASAS

Panasas ActiveStor storage addresses the Big Data challenges found across HPC markets• High performance• Scalable• Easy to manage• Reliable

Panasas has been behind pNFS from the beginning, with DirectFlow available today!