Hewlett Packard Enterprise NVIDIA Tesla M2090 6GB Computational Accelerator

Hewlett Packard Enterprise NVIDIA Tesla M2090 6GB Computational Accelerator

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MPN A0J99A-RFB

EAN/UPC 5712505909805

Starea stocului

Do you require higher performance computation or graphics?

NVIDIA Accelerators for HP servers seamlessly integrate GPU computing with select HP ProLiant Server series for scale-out computational and graphical deployments. Designed from the ground up for power-efficient, high performance supercomputing, they deliver dramatically higher application acceleration than a CPU-only approach for a range of scientific and commercial applications.

Increased Performance to Solve Problems...

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    Specificații pentru A0J99A-RFB

    Memory

    Discrete graphics card memory

    6 Giga Bites

    Graphics card memory type

    GDDR5

    Memory bandwidth (max)

    177 GB/s

    Memory bus

    384 bit

    Package dimensions

    Gross Weight (Package, kg)

    0,92 kg

    Performance

    Dual Link DVI

    No

    PhysX

    No

    TV tuner integrated

    No

    Ports & interfaces

    Interface type

    PCI Express x16

    Processor

    CUDA

    Yes

    CUDA cores

    512

    Graphics processor

    Tesla M2090

    Graphics processor family

    NVIDIA

    Product dimensions

    Net Weight (Product, kg)

    0,8200000000000001 kg

    Vendor information

    Warranty

    1 An(i)

    Descriere

    NVIDIA Tesla M2090 6GB Computational Accelerator

    Do you require higher performance computation or graphics?

    NVIDIA Accelerators for HP servers seamlessly integrate GPU computing with select HP ProLiant Server series for scale-out computational and graphical deployments. Designed from the ground up for power-efficient, high performance supercomputing, they deliver dramatically higher application acceleration than a CPU-only approach for a range of scientific and commercial applications.

    Increased Performance to Solve Problems in Minutes Instead of Hours

    • The NVIDIA Accelerators family improves computational time which can dramatically reduce compute time for parallel applications, offering quicker time to solutions.

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