NVIDIA Tesla

NVIDIA Tesla GPU Computing Solutions for HPC

Revolutionary NVIDIA® Tesla™ high include a Thread Execution Compatible Solutions performance computing solutions Manager to coordinate the As an industry-standard solution, put personal supercomputing into concurrent execution of thousands Tesla easily fits into existing the hands of individual scientists of computing threads and a HPC environments. Available and engineers by expanding the Parallel Data Cache enabling products include a Tesla C870 capability of any workstation or computing threads to share GPU computing processor for system with the power of GPU data easily, delivering results users to upgrade their existing computing. Scientific and technical in less time. workstation, a Tesla D870 deskside professionals now have an GPU computing system to add incredible opportunity to expand C for the GPU additional performance alongside a workstation, and a Tesla S870 their ability to solve problems The world’s only C-language GPU computing system for previously impossible with current development environment for deployment within an enterprise computing approaches. the GPU, the NVIDIA CUDA™ software development kit includes data center. Used in tandem Parallel Performance a standard C compiler, hardware with multi-core CPU systems, Tesla solutions provide a flexible Tesla computing solutions enable debugger tools, and a performance computing platform that runs users to process large datasets profiler for simplified application on both Microsoft® Windows® with a massively multi-threaded development. ® computing architecture. By and Linux operating system developing a parallel architecture Developer Community environments. from the ground up, NVIDIA has NVIDIA is the catalyst for the designed its new Tesla computing largest GPU computing developer products to meet the requirements community. NVIDIA’s interactive, of HPC software. Exclusive on-line GPU developer community computing features provides access to forums, educational materials, and additional resources and tools.

NVIDIA TESLA | PRODUCT OVER VIEW | DEC 2007 | v01 NVIDIA Tesla | GPU Computing Solutions for HPC

Features and Benefits

Massively Multi-threaded Executes thousands of concurrent processing threads for high throughput parallel processing of Computing Architecture mathematically intensive problems. Management of the GPU resources and an extensive runtime library for enhanced data NVIDIA GPU Computing Drivers management and program execution. Offers a high speed data transfer path and streamlined driver for computing, independent of the graphics driver. Multiple Tesla GPUs can be controlled by a single CPU via the GPU computing driver, delivering Multi-GPU Computing incredible throughput on computing applications. The power of the GPU to solve large-scale problems can be multiplied by splitting the problem across multiple GPUs.

Technical Specifications

NVIDIA Tesla Architecture Supporting Platforms

n Massively-parallel computing n Parallel Data Cache enables n Tesla certified system* architecture with 128 multi-threaded processors to collaborate on n Microsoft Windows XP (32-bit) shared information at local cache processors per GPU Available on Tesla C870 and performance n Scalar thread processor with full Tesla D870 only integer and floating point operations n Ultra-fast memory access with 76.8 n Linux (64-bit and 32-bit) GB/sec. peak bandwidth per GPU n Thread Execution Manager enables º Red Hat Enterprise Linux 4 and 5 thousands of concurrent threads n IEEE 754 single-precision per GPU floating point º SUSE 10.1, 10.2 and 10.3 (coming soon)

*For Tesla D870 and Tesla S870

Product Details

Tesla C870 GPU Computing Tesla D870 Deskside Tesla S870 GPU Computing System Processor GPU Computing System n Four Tesla GPUs (128 thread n One Tesla GPU (128 thread n Two Tesla GPUs (128 thread processors per GPU)

processors) processors per GPU) n 6 GB of system memory (1.5 GB n 1.5 GB dedicated memory n 3 GB system memory (1.5 GB dedicated memory per GPU)

n Fits in one full-length, dual slot with dedicated memory per GPU) n Standard 19”, 1U rack-mount chassis

one open PCI Express x16 slot n Quiet operation (40dB) suitable for n Connects to host via cabling to a office environment low power PCI Express x8 or x16 n Connects to host via cabling to a adapter card

low power PCI Express x8 or x16 n Configuration: 2 PCI Express adapter card connectors driving 2 GPUs each n Optional rack mount kit (4 GPUs total)

To learn more about NVIDIA Tesla solutions, go to www.nvidia.com/tesla

© 2007 NVIDIA Corporation. NVIDIA, the NVIDIA logo, Tesla are trademarks or registered trademarks of NVIDIA Corporation. All rights reserved. All company and product names are trademarks or registered trademarks of the respective owners with which they are associated. Features, pricing, availability, and specifications are all subject to change without notice.