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753960-B21, HPE 753960-B21, NVIDIA Tesla K40C GPU, 12GB GDDR5/2880 CUDA cores/PCIe 3.0

  • Brand: HPE
  • Model: 753960-B21
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    753960-B21, HPE 753960-B21, NVIDIA Tesla K40C GPU, 12GB GDDR5/2880 CUDA cores/PCIe 3.0

    753960-B21, HPE 753960-B21, NVIDIA Tesla K40C GPU, 12GB GDDR5/2880 CUDA cores/PCIe 3.0

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    Overview

    HPE 753960-B21 Overview

    The HPE 753960-B21 NVIDIA Tesla K40C 12GB Computational Accelerator Servers is designed to significantly accelerate theoretical and computational performance, making it an excellent choice for a wide range of scientific and research applications. This high-performance computing solution integrates seamlessly with HPE servers, providing unprecedented processing power to meet the demands of the most intensive computing tasks.

    Quick Spec

    Feature Detail
    Product Brand HPE
    Product Name NVIDIA Tesla K40C 12GB Computational Accelerator
    Memory 12GB GDDR5
    Compute Performance Up to 4.29 Teraflops double precision, 8.58 Teraflops single precision
    Interface PCI Express 3.0 x16

    Product Features

    • ● Dynamic Parallelism for optimal GPU utilization
    • ● Hyper-Q for increased CPU utilization in multi-threading environments
    • ● ECC Memory for enhanced data integrity
    • ● GPU Boost for automatic overclocking and maximized throughput
    • ● Large memory capacity of 12GB GDDR5, ideal for large-scale simulations and datasets

    Product Applications

    • ● Scientific research and complex simulations in fields like astrophysics and climate studies
    • ● Data analytics and deep learning applications requiring high-throughput computation
    • ● Visualization of large datasets in real-time for medical imaging and engineering design

    Supported Options

    Accessory Model
    Server Integration Kit HPE K40 Integration Kit
    Power Cables HPE Standard Power Cables
    Mounting Brackets HPE Universal Mounting Brackets

    Compare to Similar Items

    Model Differences
    NVIDIA Tesla K40C 12GB GDDR5, up to 4.29 Teraflops double precision
    NVIDIA Tesla P100 Higher memory capacity and computational performance
    NVIDIA Tesla V100 Next-gen architecture, significantly higher performance, and memory bandwidth

    Get more information

    For further details on the HPE 753960-B21 NVIDIA Tesla K40C 12GB Computational Accelerator, please contact us via Live Chat or at [email protected]. Our team is ready to provide you with all the information you need regarding this product and its pricing.

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    Specification

    HPE 753960-B21 Specification

    HPE NVIDIA Tesla K40C 12GB Computational Accelerator

    Brand HPE
    Model Number 753960-B21
    Product Type Computational Accelerator
    GPU NVIDIA Tesla K40C
    Memory Size 12GB GDDR5
    Memory Interface 384-bit
    Memory Bandwidth 288 Gb/s
    Bus Type PCI Express 3.0 x16
    CUDA Cores 2880
    Peak Double Precision Floating Point Performance 1.33 Tflops
    Peak Single Precision Floating Point Performance 4.29 Tflops
    Power Consumption 235 W
    Cooling Active
    Form Factor 4.376�� H x 10.5�� L, Dual Slot
    Compute APIs CUDA, DirectCompute, OpenCL
    System Interface PCI Express 3.0 x16
    Connectors One 6-pin and one 8-pin
    Supported Technologies GPU Boost, SMX, Dynamic Parallelism
    Operating Systems Supported Windows 7/8/10, Linux, Solaris, VMware
    Compatibility HPE Servers and S-ERVER platforms

    Quality Certifications

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    Q&A

    Questions & Answers

    What accessories are available for the NVIDIA Tesla K40C 12GB?

    Accessories can include active or passive cooling solutions and additional power connectors specific to server models.

    How does the performance of the NVIDIA Tesla K40C compare to the Tesla K80?

    While the K40C offers significant computing power, the Tesla K80 provides almost double the memory and higher throughput for more demanding applications.

    What is the typical power consumption of the NVIDIA Tesla K40C 12GB Accelerator?

    The Nvidia Tesla K40C typically consumes around 225W under full load. Make sure your server can support this power requirement.

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