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HIGH PERFORMANCE COMPUTING TESLA WORKSTATION SOLUTIONS

ONE CPU + MULTIPLE TESLA GPU

TWO CPU + MULTIPLE TESLA GPU
One CPU Workstation

Dual+ CPU  Workstations

 



NVIDIA® TESLA® GPU COMPUTING SOLUTIONS FOR WORKSTATIONS
Get cluster level performance right at your desk with NVIDIA® Tesla® GPU Accelerators, based on the NVIDIA Kepler™ Architecture.

With the introduction of Tesla K40 GPU Accelerators, you can run big scientific models on its 12GB of GPU accelerator memory, capable of processing 2x larger datasets. It also outperforms CPUs by up to 10x with its GPUBoost feature, converting power headroom into user-controlled performance boost. Solve complex computational problems quickly and efficiently with the Tesla K40 GPU for workstations, right from your desk.


Kepler based Tesla GPU Accelerators are also available for servers.

TESLA PERSONAL SUPERCOMPUTING GPUS
Specifications Tesla K40 Tesla K80
Peak double precision floating
point performance (board)
1.66 Tflops (GPU Boost Clocks)
1.43 Tflops (Base Clocks)
2.91 Tflops (GPU Boost Clocks)
1.87 Tflops (Base Clocks)
Peak single precision floating
point performance (board)
5 Tflops (GPU Boost Clocks)
4.29 Tflops (Base Clocks)
8.74 Tflops (GPU Boost Clocks)
5.6 Tflops (Base Clocks)
Number of GPUs 1 x GK110B 2 x GK210
CUDA cores 2880 4992 (2496 per GPU)
Memory size per board (GDDR5) 12 GB 24 GB (12 GB per GPU)
Memory bandwidth for board (ECC off) 288 GBytes/sec 480 GB/sec (240 GB/sec per GPU)
Cooling Passive or Active heatsink available Passive heatsink only

SUPPORTED OPERATING SYSTEMS

A complete list of supported operating systems is available at:

Linux systems
Windows systems

Please refer to NVIDIA drivers page for more info.
 


 
 


Each Xi® Computer is proudly designed, configured, assembled, tested and supported in the USA


Available on GSA Contract
#GS-35F-0611R


  NVIDIA NPN Preferred
 

 

 

 


 

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