Image Courtesy of Evolved MachinesPower to Solve Complex Problems
Scientists and researchers benefit from the power of the massively parallel, computing architecture in Tesla solutions. This availability of super computing 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 GPU's 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. |
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.
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 desk side supercomputer to add additional performance alongside a workstation, and a 1U GPU server for deployment within an enterprise data center.
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