NVIDIA TESLA GPU COMPUTING SOLUTIONS FOR WORKSTATIONS
Experience cluster level computing performance—up to 250 times faster than standard PCs and workstations—right at your desk. Convert your workstation into a NVIDIA® Tesla™ Personal Supercomputer by adding Tesla GPU computing processors. Each Tesla GPU is based on the revolutionary NVIDIA® CUDA™ massively parallel computing architecture with a rich set of developer tools (compilers, profilers, debuggers) for popular programming languages APIs like C, C++, Fortran, and driver APIs like OpenCL and DirectCompute.
Available Tesla GPU Computing Processors:
- Tesla C2050/C2070
- Tesla C1060

SUPERCOMPUTING PERFORMANCE
– Revolutionary CUDA Architecture – 1000+ cores, massively parallel processing – 250x the compute performance of a PC
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PERSONAL
– “One Researcher, One Supercomputer” – Supercomputer in a desktop system – Plugs into standard power strip
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ACCESSIBLE
– Program in C, C++, Fortran for Windows or Linux – Available from OEMs and resellers worldwide and priced like a workstation
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NVIDIA unveils the Tesla Personal Supercomputer at SC08.
Matthew Walker of Tulsa University talks about what he will do with his personal supercomputer.
Developers from universities and industry share their personal experience in getting up to speed in programming with CUDA. To see their complete interviews,
click here.
Tesla Bio Workbench -- Enabling New Science The NVIDIA® Tesla Bio Workbench consists of a range of GPU-optimized applications for molecular dynamics, quantum chemistry, and bioinformatics, a community site with resources to optimize scientific workflows, and a selection of GPU-based workstations and clusters for easy deployment. This provides bio-physicists and chemists the tools to push the boundaries of bio-chemical research.
Learn more
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