NVIDIA® Tesla™
NVIDIA Tesla GPU computing solutions solve the world’s most important challenges by advancing high performance computing (HPC) with a massively multi-threaded architecture. With a 128-processor computing core per GPU, C-language development environment for the GPU, suite of developer tools (C-compiler, debugger, performance profiler, optimized libraries), and the world’s largest GPU computing ISV development community, Tesla allows you to develop applications faster and to deploy them across multiple generations of processors.
Tesla GPU computing solutions also can be used in tandem with multi-core CPU systems to create a scalable computing solution that fits seamlessly into existing workstation or IT infrastructures.
Enterprise GPU Computing Solutions
Revolutionary NVIDIA Tesla high performance computing solutions put personal supercomputing into the hands of individual scientists and engineers by expanding the capability of any workstation or system with the power of GPU computing. Scientific and technical professionals now have an incredible opportunity to expand their ability to solve problems previously impossible with current computing approaches.
Tesla computing solutions enable users to process large datasets with a massively multi-threaded computing architecture. By developing a parallel architecture from the ground up, NVIDIA has designed its new Tesla computing products to meet the requirements of HPC software. Exclusive computing features include a Thread Execution Manager to coordinate the concurrent execution of thousands of computing threads and a Parallel Data Cache enabling computing threads to share data easily, delivering results in less time.
C for the GPU
The world’s only C-language development environment for the GPU, the NVIDIA CUDA™ software development kit includes a standard C compiler, hardware debugger tools, and a performance profiler for simplified application development.
Compatible Solutions
As an industry-standard solution, Tesla easily fits into existing HPC environments. Available products include a Tesla C870 GPU computing processor for users to upgrade their existing workstation, a Tesla D870 deskside GPU computing system to add additional performance alongside a workstation, and a Tesla S870 GPU computing system for deployment within an enterprise data center. Used in tandem with multi-core CPU systems, Tesla solutions provide a flexible computing platform that runs on both Microsoft® Windows® and Linux® operating system environments.
WS1160
• Supports Two Quad-Core Intel® Xeon® X3300 Series Processors
• NVIDIA Tesla C870 GPU Card (optional)
• Up to 8GB of DDR2-667 Memory
• Verari Connexxus™ Host Adapter
• Up to 400GB Internal Storage
The WS1160 is the ideal solution for a full range of enterprise computing or graphics intensive applications. When coupled with the Verari Systems’ Connexxus™ hosted desktop solution, IT managers will be able to deploy a high density, high performance blade-based workstation.
Full technical specifications for the WS1160 can be found here
WS2260
• Supports Two Quad-Core Intel® Xeon® 5400 Series Processors
• Up to 64GB DDR2-800 Memory
• NVIDIA® Tesla™ C870 GPU Card (optional)
• Up to 2TB Internal Storage
• Verari Connexxus™ Host Adapter
With a PCI Express 2.0 Graphics Card or Tesla C870 GPU Card, DDR2-800 ECC FBDIMM modules and IPMI 2.0 Management, the WS2260XL is the ideal solution for a full range of graphics intensive applications.
Full technical specifications for the WS2260 can be found here
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