NVIDIA C2070 Tesla GPU

Product Overview

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The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel the transition to parallel computing and bring the performance of a small cluster to the desktop.

AOC-GPU-NVC2070

4 In Stock


NVIDIA C2070 Tesla GPU

The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel the transition to parallel computing and bring the performance of a small cluster to the desktop. Based on the next-generation CUDA architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla™ C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone.

Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.

 

Key Features

GPU powered by the massively parallel CUDA architecture 448 CUDA Cores ECC Memory Desktop Cluster Performance Up to 6GB of GDDR5 memory per GPU NVIDIA Parallel DataCache™ NVIDIA GigaThread Engine Asynchronous Transfer CUDA programming environment with broad support of programming languages and APIs High Speed , PCI-Express Gen 2.0 Data Transfer

 

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  • Card Form Factor

    9.75"

  • Core Clock Speed

    1.15 GHz

  • Double Precision Floating Point Performance

    515 Gflops

  • GPU Family

    NVIDIA Tesla Series

  • GPU Manufacturer

    NVIDIA

  • GPU Model

    Tesla C2075

  • GPU Quantity

    1

  • Interface

    PCI-E x16

  • Manufacturer

    Supermicro

  • Max Resolution

    2560 x 1600

  • Memory Bandwidth

    144 GB/sec

  • Memory Interface

    384-bit

  • Memory Sizes

    6GB

  • Memory Speed

    1.5GHz

  • Memory Type

    GDDR5

  • Number of Cores

    448

  • Other Features

    Thermal Solution: Active Fansink

  • Power Consumption

    238W

  • Single Precision Floating Point Performance

    1.03 Tflops

  • Software Development Tools

    CUDA C/C++/Fortran
    DirectCompute Toolkits
    NVIDIA Parallel Nsight™ for Visual Studio
    OpenCL

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