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PNY Tesla K40 12GB - Graphics card

4309,90 €
Show price: incl. VAT excl. VAT
Online store:
Not confirmed

Estimated delivery time: Not confirmed
Shipment cost: 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 €
Not confirmed
Processor frequency745 MHz
Graphics processorTesla K40
CUDA cores2880
Graphics processor familyNVIDIA
Graphics adapter memory typeGDDR5
Bandwidth288 GHz
Memory bus384 bit
Memory clock speed3000 MHz
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 x64,Windows Vista Enterprise x64,Windows Vista Home Basic x64
Linux operating systems supportedcheckmark
Ports & interfaces
Interface typePCI Express x16
Weight & dimensions
Height110 mm
Width265 mm
Energy management
Power consumption (typical)235 W
Energy Star certifiedcheckmark
Cooling typeActive
TV tuner integratedcross
Source: Icecat.biz

Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They’re built on the NVIDIA Kepler™ compute architecture and powered by NVIDIA CUDA®, the world’s most pervasive parallel computing model.

This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics

Tesla K40 GPU Accelerator
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x 2 and includes a Tesla GPUBoost3 feature that enables power headroom to be converted into usercontrolled performance boost.

The innovative design of the Kepler compute architecture includes:

SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs.

Dynamic Parallelism
Enables GPU threads to automatically spawn new threads.
By adapting to the data without going back to the CPU, this greatly simplifies parallel programming.

Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU.
This dramatically increases GPU utilization and slashes CPU idle times.

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