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Nvidia Tesla K20

NVIDIA Tesla K20

Overview Specifications Performance Configure

"Powerful GPU Computing Processor"

Accelerate your scientific and technical computing with NVIDIA® Tesla® GPU Accelerators. Now developers and researchers can enjoy faster performance and more accessibility with the latest generation of Tesla GPUs based on NVIDIA Kepler™, the world's fastest and most efficient high performance computing architecture. Try the NVIDIA® Tesla K20 GPU accelerators and speed up your application by up to 10X. 

Tesla Personal Supercomputer GPUS
NVIDIA® Tesla® GPU Accelerators turn standard PCs and workstations into personal supercomputers. Powered by CUDA® - the world’s most pervasive parallel-computing model Tesla GPU Accelerators for workstations deliver cluster level performance right at your desk.

Feeding HPCs Relentless Demand for Performance.
Keeps pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration, and computational finance.

Many-core Architecture Delivers Optimum Scaling across HPC Applications.
Tesla many-core architecture meets the computational demands of applications whose complexity has outstripped the CPU’s ability to solve them.

NVIDIA Hyper Q Technology
Hyper-Q feature that enables multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization, slashes CPU idle times, and advances programmability—ideal for cluster applications that use MPI.


Features Benefits
5GB High-Speed Memory Enables larger datasets to be stored locally for each processor to maximize benefit from the ultra high GB/s memory transfer speeds and minimize data movement around the system. Now with Full ECC Support.
3.52 Teraflops single & 1.17 teraflops double precision floating point units Achieve the high floating point performance from a single chip, while meeting the precision requirements of your application.
NVIDIA® GigaThread™ Engine Maximizes throughput with faster context switching, concurrent kernel execution, and improved thread block scheduling.
Shared Data Memory Groups of processor cores can collaborate using low latency memory.


Form Factor 10.5" x 4.376", Dual Slot
# of Tesla GPU's 1
# of Streaming Processor Cores 2496
Floating Point Precision 1.17 Teraflops(Double) - 3.52 Teraflops(Single)
Total Dedicated Memory 5GB
Max Power Consumption 225 W
System Interface PCIe x16
Auxiliary Power Connectors 2x 6-pin
Thermal Solution Active fan sink
Software Development Tools CUDA C/C++/Fortran, OpenCL, Direct Compute Toolkits

Please supply me with information/pricing on the following NVIDIA Tesla Products: -.

   GPU Computing:Graphics

NVIDIA Tesla® GPU Computing Solutions

   Workstation/Software Usage:Graphics

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   Your Contact Details:Graphics

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Request Quotation

For further information on the NVIDIA Tesla K20 GPU Computing Card, please contact our NVIDIA Tesla Sales Specialists via 'Live Chat', E-Mail, telephone +44 (0) 800 180 4801 or alternatively please fill out the below enquiry form and we can happily send you information.


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