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PNY Tesla K40 Workstation Card
7481,90 €
inkl. 24% moms
Inte tillgänglig för tillfället
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Uppskattad leveranstidObekräftad
från 3,90 €
Avhämtning från butiken0,00 €
Postens paketautomat3,90 €
Postpaket5,60 €
Till dörren-paket11,10 €
Hempaket11,70 €
Matkahuolto Närpaket6,20 €
Matkahuolto Busspaket4,10 €
PNY
TCSK40CARD-PB
3 år
Mer info om denna produkt
Produktspecifikation
Processor
Processorfrekvens745 MHz
GrafikprocessorTesla K40
CUDA
CUDA-kärnor2880
Grafikprocessor familjNVIDIA
Minne
Grafikkort minnestypGDDR5
Bandbredd288 GHz
Minneskapacitet384 bit
Minne klockhastighet3000 MHz
Minneskapacitet, diskret grafikkort12 GB
Systemkrav
Windows-operativsystem som stödsWindows 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 operativsystem som stöds
Anslutningar
StandardanslutningPCI Express x16
Vikt & dimension
Höjd110 mm
bredd265 mm
Strömtillförsel
Strömförbrukning (vanlig)235 W
Energicertifierad, antalet stjärnor
Design
Kylning typAktiv
Prestanda
Inbyggd TV mottagare
PhysX
EAN3536403343163
Source: Icecat.biz
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Beskrivning

TESLA K40 GPU COMPUTING ACCELERATOR
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.

Hyper-Q
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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