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NVIDIA Tesla
Revolutionary NVIDIA Tesla high performance computing (HPC) solutions arm scientists, engineers and other technical professionals with the power to solve previously unsolvable problems. A dedicated, high performance GPU computing solution, Tesla brings supercomputing power to any workstation or server and to standard, CPU-based server clusters.
Key elements include:
Industry's first massively multi-threaded architecture with a 128-processor computing core
World's only C-language development environment for the GPU
A suite of developer tools (C-compiler, debugger, performance profiler, optimized libraries)
Largest ISV development community for GPU Computing applications
Seamlessly able to fit into existing HPC environments
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Tesla C870 GPU Computing Processor |
Tesla S870 GPU Computing Server |
Tesla D870 Deskside Supercomputer |
The GPU Computing Processor transforms a standard workstation into a personal supercomputer with over 500 gigaflops of peak floati |
The GPU Computing Server seamlessly fits into enterprise server clusters and scales to solve the most complex computing problems. |
The Deskside Supercomputer attaches to a workstation through a PCI Express adapter to create an expandable HPC system that works in tandem with multi-core CPUs. |
Image Courtesy of Evolved Machines |
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C for the GPU
The world's only C-language development environment for the GPU, the NVIDIAR CUDA? software development kit includes a standard C compiler, hardware debugger tools, and a performance profiler for simplified application development. |
Power to Solve Complex Problems
Scientists and researchers benefit from the power of the massively parallel, computing architecture in Tesla solutions. This availability of supercomputing will unlock the answers to previously unsolvable problems in systems ranging from a workstation to server clusters.
Massively Parallel Performance
A massively multi-threaded processor mines large datasets to extract information and reach answers fast. Key features available on Tesla GPUs include the Thread Execution Manager to coordinate the concurrent execution of thousands of parallel computing threads and the Parallel Data Cache to enable those threads to share data easily.
Developer Community
NVIDIA is the catalyst for the largest GPU computing developer community. NVIDIA's interactive, on-line GPU developer community provides access to forums, educational materials, and additional resources and tools. |
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Image Courtesy of University of Illinois at Urbana-Champaign
Compatible Solutions
As an industry-standard solution, Tesla easily fits into existing HPC environments. Available products include a GPU for users to upgrade their existing workstation, a deskside supercomputer to add additional performance alongside a workstation, and a 1U GPU server for deployment within an enterprise data center.
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