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NVIDIA Tesla




 

NVIDIA MD SimCluster Test Drive Program

Benchmark AMBER, NAMD and more!

Greener HPC with Microway
Clusters, Servers, and WhisperStations™ with Tesla and Tesla Fermi GPU Compute Processors

Microway HPC Clusters and WhisperStations seamlessly integrate the NVIDIA® Tesla™ GPU compute processors. Solve your most important HPC challenges with a massively multi-threaded, parallel-computing architecture, and the CUDA™ C, C++, and Fortran language environment and tool suites.

The lastest Tesla Fermi C2075, M2050/M2075/M2090, and S2075/S2090 GPUs provide the most cutting edge double-precision performance and must-have HPC features. Solutions are available for all scales and budgets.

Workstations

WhisperStation- Tesla PSC


WhisperStation PSC with Jacket

Clusters

Tesla GPU Clusters


SimCluster 2X


S2075/S2090 GPU Servers


Microway BioStack-LS

Servers

NumberSmasher/Navion-GPU



NumberSmasher 4U GPU


Microway OctoPuter

Life Sciences Technology Summit Attendee Choice Award, Best New Technology:


  • Up to 512 floating point processor cores
    • Up to 1/20th the power consumption and 1/10th the cost of equivalent CPU solutions.
    • Tesla GPU's CUDA cores are designed from the ground up for HPC
  • Over 1.33 TFLOPS Single and up to 665 GFLOPS Double Precision Floating Point throughput
    • IEEE 754 single & double precision floating point units
  • Up to 6GB high speed GDDR5 memory with ECC function*
    • Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected.
    • 384-bit memory interface with 177 GB/sec memory bandwidth
  • Accessible programming environments
    • Native NVIDIA CUDA C/C++ environment
    • PGI Accelerator Fortran for CUDA GPUs available
    • OpenCL and DirectCompute capable
  • Fits seamlessly into HPC environments
    • C series cards pair with new or many existing workstations, servers
    • S series GPU compute servers pair with new or many existing clusters
    • M series GPUs may be integrated into specially designed GPU servers and clusters


*With ECC enabled, memory available to the user will be 2.625GB per GPU for C2050/S2050 and 5.25GB per GPU for C2070


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