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Overview

PETASCALE COMPUTING WITH TERAFLOP PROCESSORS

ServMax PSC-1, integrated with Tesla C1060 computing processor enables the transition to energy efficient parallel computing power by bring the performance of a small cluster to a workstation. Powered with Intel® Core™ i7 processor and supporting up to 720 processor cores and standard C compilers that simplify application development, ServMax PSC-1 scales to solve the world's most important computing challenges-more quickly and accurately.


Features and Benefits
  • Industry's first massively multi-threaded architecture with 240-cores.
  • Many-core architecture delivers optimum scaling across HPC applications.
  • Optimized for scientific computing, delivering up to 15x cost savings and 15x lower power than traditional 1U rack-optimized servers.
  • Scale to thousands of processor cores to solve large-scale problems by splitting the problem across multiple GPUs.
  • High-efficiency computing platform for energy-conscious organizations.
  • NVIDIA CUDAT Technology unlocks the power of Tesla many-core computing products.
  • Seamlessly able to fit into existing HPC environments.
  • Ideal for life sciences, geosciences, engineering & sciences, molecular biology, medical diagnostics, electronic design automation (EDA), government and defense, visualization, financial modeling, and oil & gas applications.

Specification
  • Up to three Tesla processors (240 computing cores per processor, 720 cores total)
  • Delivers up to three teraflops in a tower chassis with a typical energy footprint of 1,000 watts
  • IEEE 754 single & double floating point precision
  • Supports single Intel® 45nm Multi-Core CPU / Intel® Core™ i7 processor
  • Up to 12 GB dedicated memory (organized as 4.0 GB per GPU)
  • 3 x 512-bit GDDR3 memory interface (organized as a 512-bit interface per GPU)
  • Up to 306 GB/sec memory bandwidth (102 GB/s per GPU to local memory)
  • Ultra quiet, eloquent mid tower chassis
  • System dimension: 23.6" x 9.6" x 24.6" (D x W x H)

Click here to see Success Stories »
Reference Number: Q144044
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