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Korsholmanpuistikko 38
65100 Vaasa
Web: www.multitronic.fi
Telephone: 06 - 319 77 00
E-mail: info@multitronic.fi
PNY Tesla K40 Module
5531,90 €
incl. 24% VAT
Currently not available
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Estimated delivery timeNot confirmed
from 3,90 €
Fetch from the shop0,00 €
Posti Parcel Point3,90 €
Postal Parcel5,60 €
Parcel to the Doorstep11,10 €
Home Delivered Parcel11,70 €
Matkahuolto Near Parcel6,20 €
Matkahuolto Bus Parcel4,10 €
PNY
TCSK40M-PB
1 year
More info about this product
Specifications
Processor
Processor frequency745 MHz
Graphics processorTesla K40
Parallel processing technology supportNot supported
CUDA
CUDA cores2880
Graphics processor familyNVIDIA
FireStream
Memory
Graphics adapter memory typeGDDR5
Memory bus384 bit
Memory clock speed3000 MHz
Memory bandwidth (max)288 GB/s
Discrete graphics adapter memory12 GB
System requirements
Windows operating systems supportedWindows 7 Home Basic x64,Windows 7 Home Premium x64,Windows 7 Professional x64,Windows 7 Starter x64,Windows 7 Ultimate x64,Windows Vista Business,Windows Vista Business x64,Windows Vista Enterprise,Windows Vista Enterprise x64,Windows Vista Home Basic,Windows Vista Home Basic x64,Windows Vista Home Premium,Windows Vista Home Premium x64,Windows Vista Ultimate,Windows Vista Ultimate x64
Linux operating systems supportedFedora 12,SuSE Linux 11,Ubuntu 9.10
Ports & interfaces
Interface typePCI Express x16
Weight & dimensions
Height110 mm
Energy management
Power consumption (typical)235 W
Energy Star certified
Supplementary power connectors1x 6-pin, 1x 8-pin
Design
Number of slots2
Cooling typePassive
Performance
TV tuner integrated
Dual Link DVI
PhysX
EAN3536403343170
Source: Icecat.biz
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Description

Run your most demanding scientific models on NVIDIA® Tesla® GPU Accelerators. Based on the NVIDIA Kepler™, Tesla GPUs are designed to deliver faster, more efficient compute performance.

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 and ideal for big data analytics. It also outperforms CPUs by up to 10x with its GPUBoost feature, converting power headroom into user-controlled performance boost.

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