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      Phone, Zalo : 0988801591  Skype : maychuxen

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  • 0936060436 (Mr. Khánh)

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    • Nvidia Tesla K20X

      [ Part number: TCSK20X_PB ]

      NVIDIA Tesla K20X 6GB 384-bit GDDR5 2688 Processing Cores Kepler GPU Computing Module

      Giá: Liên hệ

    Chọn mua

    Mua hàng

    CUDA Parallel Processing Cores

    2688

    Interface

    320-bit

    Frame Buffer Memory

    6 GB GDDR5

    Memory Bandwidth

    250 GBytes/sec

    Displau Connectors

    None

    Max. Power Consumption

    225 W

    Power Connectors

    (2) x 6-pin PCI Express power connectors  

    Graphics Bus

    PCI Express 2.0 x16

    Form Factor

    110 mm (H) x 265 mm (L) - Dual Slot

    Thermal Solution

    Passive

    Peak double precision floating point performance (board)

    1.31 teraflops

    Peak single precision floating pointperformance (board)

    3.95 teraflops

    Number of GPUs

    1 x GK110

    GPU computing applications

    CFD, CAE, financial computing, computational chemistry and physics, data analytics, satellite imaging, weather modeling 

    Architecture features

    SMX, Dynamic Parallelism, Hyper-Q

    System

    Servers only

    ECC Memory Error Protection

    Meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. 
    External and internal memories are ECC protected in Tesla K20X.

    System Monitoring Features

    Integrates the GPU subsystem with the host system’s monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can thus manage the GPU processors in the computing system using widely used cluster/grid management solutions.

    L1 and L2 caches

    Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand

    Asynchronous Transfer with dual DMA engines

    Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.

    Flexible programming environment with
    broad support of programming languages and APIs

    Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.

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