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Home > Hyperform HPC > NVIDIA Tesla GPU Products


GPU Products


GPU Products Partner

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:

Tesla 10-Series Tesla 20-Series
Processing Cores 240 448
Double Precision
Floating Point Capability
78 Gflops 515 Gflops
Single Precision
Floating Point Capability
933 Gflops 1003 Gflops
Memory1 4GB DDR3 3GB GDDR5 (or 2.625GB GDDR5 w/ ECC)
L1 Cache
(per streaming multiprocessor)
Configurable 48KB or 16KB
L2 Cache 768KB
ECC Memory Support1 No Yes
Concurrent Kernels No Up to 16
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.
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

Silicon Mechanics and NVIDIA

Silicon Mechanics offers a variety of products with integrated Tesla GPUs:

We will also be happy to integrate the following Tesla GPU products as needed to address your HPC requirements:

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