1. 1 petaFLOPS+ in 10 racks TB2–TL system announcement Rev 1A

2. T-PLATFORMS Company Facts  Russia’s leading developer of turn-key solutions for supercomputing  160 employees  R&D teams in Russia, Taiwan and Ukraine  6 installations in the global Top500  MSU Lomonosov cluster - #13 on TOP500  50% of computational power in the Top50 list of Russia & CIS  ~200 supercomputer installations  Joint R&D with scientific community, dozens hardware HPC patents  Manufacturing facility & Tech. Center in Hannover, Germany  Announce Highest Density Computation with Nvidia:  TB2-TL System

3. TB2-TL SYSTEM OVERVIEW 1 Petaflops+ in only 10 42U racks  Chassis Form factor: 7U enclosure with 16 blades  Record-breaking compute density  16 nodes with 32 Tesla X2070 GPU’s and 32 Intel Xeon L5600 series CPUs  6 enclosures in standard 19” rack  17.5TF per enclosure/~105TF per rack (DP Peak)  Record-breaking performance-per-watt:  ~1450MFLOPS/W (1.45GFLOPS/W)  12KW power consumption per chassis under full load  Dedicated global barrier network and global interrupt network  Integrated QDR InfiniBand and Gigabit Ethernet switches  Near-real time management

4. TB2-TL System Look & Feel TL compute node with two Tesla X2070 GPU’s T-Blade 2 enclosure with 16 TL nodes, 2 IB switches and management modules – rear view T-Blade 2 enclosure – front view

5. TL blade Main Features TL blade mainboard  Two Intel Xeon L5630 CPUs  12 or 24 GB DDR3-1333 RAM options  Two Intel 5520 chips + ICH10  Two MXM connectors for Tesla X2070 GPU  Two QDR InfiniBand dedicated ports (one per X2070 Module)  Optional Global Barrier and Global Interrupt networks NVIDIA Tesla™ X2070 GPU  GPU @1.15GHz with 448 CUDA cores  6GB GDDR5 with ECC @ 1.566GHz with 384 bit memory interface  Power consumption: <=225W

6. NVIDIA Tesla 2070 (Fermi) module

7. Compute blades comparison XN (Intel Xeon-based blade) TL (X2070-based blade) Blades in 7U enclosure16 X86 CPU’s per blade4 (2 x 2 socket nodes)2 (1 x 2 socket node) X86 CPU TypeUp to Intel Xeon E5670Up to Intel Xeon L5630 GPU modules per blade0Up to 2 GPU modules per enclosure0Up to 32 IB QDR ports2 (1 per node)2 Memory per blade24 or 48GB DDR312 or 24GB DDR3 HDD’s00(TBD) Peak performance (DP)~4.5TF~17.5TF Peak power consumption per enclosure ~11.2KW~12KW 4x perf.

8. Applications availability (ann. 21/09 GTC) parallelized with MPI for multi-GPU Cluster MatlabParallel Computing Toolkit Amberversion 11 AnsysMechanical, r13 3ds MaxiRay (Near Real Time Ray Tracing) PGICuda-X86 compiler for universal deployment of Cuda applications

11. The Clustrx Operating System Scalable and Reliable Next Generation Operating System for Petaflop and Exaflop computing

12. Clustrx Subsystems 1.Clustrx Watch – real time monitoring and control Computing nodes & management nodes & Infrastructure 2.dConf - Cluster-wide, decentralized distributed storage for configuration data 3.Resource manager – POSIX-compliant, modular, scalable, GRID-ready 4.Network boot & provisioning – infrastructure to support any number of computing nodes Booting Clustrx kernel Any other stock linux (RH, SUSE, …) Windows HPC

13. Heterogeneous architectures Future development  Architecture-independent system management  Hybrid MPI  Supports accelerated nodes  Virtualization of GPGPU hardware  Main direction of further development

14. TB2-TL Summary  Record-breaking compute density: 105TF (DP) per 42U 19” rack  Record-breaking performance-per-watt: ~1450MFLOPS/W  Full PCIe Gen2 bandwidth, dedicated IB port per GPU  Mix & Match CPU and CPU/GPU blades for best utilization  Petascale-ready  Proven blade infrastructure (utilized in 420TF Lomonosov cluster: #13 on TOP500)  Clustrx OS to support heterogeneous computing  Ready to order: November 2010  Shipment to select customers: Q4’2010  GA: Q1’2011  Pricing and availability info: sales@t-platforms.com