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NVIDIA® Tesla™ GPU Technology
NVIDIA 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 Tesla computing products to meet the requirements of HPC software. With the introduction of the Tesla 20-Series, the next-generation CUDA architecture (codenamed "Fermi"), you will enjoy a powerful new array of features:
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Tesla 20-Series
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Processing Cores
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448
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Double Precision
Floating Point Capability
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515 Gflops
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Single Precision
Floating Point Capability
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1003 Gflops
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Memory1
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3GB GDDR5 (or 2.625GB GDDR5 w/ ECC)
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L1 Cache
(per streaming multiprocessor)
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Configurable 48KB or 16KB
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L2 Cache
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768KB
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ECC Memory Support1
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Yes
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Concurrent Kernels
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Up to 16
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1 With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory
is reduced by 12.5%. For example, 3GB total memory yields 2.625GB of user-available memory.
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In addition to the power of GPU parallel processing, you can benefit from the CUDA software development environment for parallel programming (including support for C, C++, Fortran, Open CL and Direct Compute) and a steadily expanding spectrum of high-performance computing applications.
» More about NVIDIA Tesla computing solutions
» More about NVIDIA CUDA technology
» Read about the NVIDIA Academic Partnership Program
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