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NVIDIA Tesla M-Class GPU M2090 Computing Module

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Quick Specs


The Tesla M-Class GPU M2090 Computing Module from Nvidia is based on the CUDA architecture code named "Fermi". The Tesla GPU computing module is fast parallel computing processor for high performance computing (HPC). Tesla GPU's high performance makes it ideal for seismic processing, biochemistry simulations, weather and climate modeling, signal processing, computational finance, CAE, CFD, and data analytics.


Accelerate the science with NVIDIA Tesla 20-series GPU. A companion processor to the CPU in the server, Tesla GPU speeds up HPC applications by 10 x. Based on the Fermi architecture, this GPU features up to 665 gigaflops of double precision performance, 1 teraflop of single precision performance, ECC memory error protection, and L1 and L2 caches.

The Tesla M-class GPU module is integrated into GPU-CPU servers from OEM. This gives data center IT staff much greater choice in how to deploy GPU, with a wide variety of rackmount and blade systems and with remote monitoring and management capabilities, while enabling large data center, scale-out deployments. UP to 6GB Of GDDR5 Memory Per GPU


Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.

Integrates the GPU subsystem with the host system's monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can thus manage the GPU processors in the computing system using widely used cluster/grid management solutions.


System Monitoring Features
GPU Model NVIDIA Tesla M2090
Stream Processors 512 CUDA Cores
Base Clock Speed 1.3 GHz
Floating Point Performance Single Precision Performance: 1331.00 GFLOPS
Double Precision Performance: 665.00 GFLOPS
Memory
Memory Speed 1.85 GHz (Effective)
GPU Memory 6 GB
Memory Interface GDDR5
Memory Interface Width 384-Bit
Memory Bandwidth 177 GB/s

Compatible With:
  • Dell C8000
  • Dell C8220x

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