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Nvidia Tesla K10

NVIDIA Tesla C2075

Overview Specifications Performance Configure

"Powerful GPU Computing Processor"

Tesla K10 GPU Accelerator – Optimized for single precision applications, the Tesla K10 includes two ultra-efficient GK104 Kepler GPUs to deliver high throughput. It delivers up to 2x the performance for single precision applications compared to the previous generation Tesla M2090 GPU in the same power envelope. With an aggregate performance of 4.58 teraflop peak single precision and 320 gigabytes per second memory bandwidth for both GPUs put together, the Tesla K10 is optimized for computations in seismic, signal image processing, and video analytics.

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
8GB 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.
4.58 Teraflops single & 0.19 teraflops double precision floating point units

Highest memory bandwidth in a single accelerator. This is 12 times higher single precision flops and 6.4 times higher memory bandwidth than the latest-generation Intel Sandy Bridge CPUs.

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 2
# of Streaming CUDA Processor Cores 1536
Floating Point Precision 4.58 Teraflops(Single) - 0.19 Teraflops(Double)
Total Dedicated Memory 8GB
Max Power Consumption 225 W
System Interface PCIe x16
Auxiliary Power Connectors 1x 6-pin
1x 8-pin
Thermal Solution Passive 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

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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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