1. IDC HPC User Forum Update APRIL 16, 2012 PANASAS PRODUCT MARKETING

2. 2 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

3. 3 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

4. 4 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

5. 5 HOW BIG DATA VALUE IS CREATED ENGINEERING COLLABORATION Design Optimization Process Flow Fluid Dynamics 3D Modeling SIMULATION Genome Sequencing Seismic Processing Monte Carlo Visualization ANALYTICS Predictive Modeling Decision Processing Demographics Behavior Analysis DATA WAREHOUSE Hosting Digitization/archive Backup Web 2.0 BIG Data Application Segments

6. 6 BIG DATA STORAGE GROWTH  Huge growth in unstructured data Source: IDC 2011 1 IP-SAN market includes iSCSI, InfiniBand, Switched SAS and Fibre Channel over Ethernet markets 23% 60% 2009 – 2014E CAGR = 51% 2009–14E CAGR 23% 60% CAGR CAPACITY IN EXABYTES

7. 7 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

8. 8 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

9. 9 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 ActiveStor 10 shelves, 600TB

10. 10 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

11. 11 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

12. 12 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 pNFS Clients Object (OSD) / File (NFS) / Block (FC) Storage NFSv4.1 Server data metadata control

13. 13 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!

14. 14 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!